Skip to main content
Journal of Applied Mechanics logoLink to Journal of Applied Mechanics
. 2013 Feb 4;80(2):0209031–02090314. doi: 10.1115/1.4023011

A Two-Scale Computational Model of pH-Sensitive Expansive Porous Media

Ranena V Ponce F 1, Márcio A Murad 2, Sidarta A Lima 3
PMCID: PMC4023895  PMID: 24891724

Short abstract

We propose a new two-scale model to compute the swelling pressure in colloidal systems with microstructure sensitive to pH changes from an outer bulk fluid in thermodynamic equilibrium with the electrolyte solution in the nanopores. The model is based on establishing the microscopic pore scale governing equations for a biphasic porous medium composed of surface charged macromolecules saturated by the aqueous electrolyte solution containing four monovalent ions (Na+,Cl-,H+,OH-). Ion exchange reactions occur at the surface of the particles leading to a pH-dependent surface charge density, giving rise to a nonlinear Neumann condition for the Poisson–Boltzmann problem for the electric double layer potential. The homogenization procedure, based on formal matched asymptotic expansions, is applied to up-scale the pore-scale model to the macroscale. Modified forms of Terzaghi's effective stress principle and mass balance of the solid phase, including a disjoining stress tensor and electrochemical compressibility, are rigorously derived from the upscaling procedure. New constitutive laws are constructed for these quantities incorporating the pH-dependency. The two-scale model is discretized by the finite element method and applied to numerically simulate a free swelling experiment induced by chemical stimulation of the external bulk solution.

Keywords: swelling porous media, disjoining pressure, Poisson–Boltzmann, pH, homogenizaton, ion exchange reactions, finite element method, nonlinear surface charge, effective stress principle

1. Introduction

In the past few decades there has been an increasing interest in the comprehensive understanding of the response of swelling porous media under various loading conditions induced by electro-chemo-mechanical-thermal stimulations. Applications are widespread in nature and in modern technologies involving diverse fields such as: soil science, hydrogeology, geotechnical and petroleum engineering, chemical and mechanical sciences, colloid chemistry, pharmaceutical and life sciences, biomechanics, clinical, and medical fields.

Historically, owing to its critical role in the quality of groundwater, swelling of clay-rich formations, particularly montmorillonites, during moisture imbibition and sorption of ionic species has been widely reported in the literature [1]. The exposure of swelling soils to free polar fluids induces stresses which can be very troublesome to foundations, leading to the failure of buildings, bridges, highways, and runways. Upon inundation structures founded on collapsible and expansive soils are subject to severe damage ranging from minor cracking to irreparable displacements of footings, which may reduce the stability of land slopes [2,3]. In the petroleum industry swelling/contraction of clay-rich rocks such as shales, which are strongly dependent on the water-based drilling mud concentrations, has been responsible for most of the stability problems of drilled boreholes [4]. Swelling can also be explored for beneficial purposes. For instance bentonitic based compacted expansive clays play a critical role in the safety assessments of their capacity to act as a host rock of high-level long lived radioactive waste disposal sites. In addition, they act as a geochemical filter for environmental protection to inhibit the migration of contaminants from hazardous wastes in sanitary landfills [5].

Swelling polymers have numerous technological applications in the development of smart drug delivery substrates, in contact lenses, and in many biological and biomedical devices [6]. In particular, the osmotic induced swelling of cross-linked ionized hydrogels characterized by a stable microstructure [7] make them very attractive as sensor devices [8,9].

In biomedical technology, articular cartilage reinforced by collagen fibers illustrates the enormous complexity inherent to the modeling of electrically charged swollen soft tissues. The tissue fabric consists of a multiphasic hydrated mixture mainly composed of proteoglycan, collagen, and water [10]. The proteoglycans are negatively charged biomacromolecules, which play a crucial role in the load-bearing capacity of the cartilage by dictating the magnitude of the shear and compressive modulus and determining the ability to develop prestresses in the articulating joints and damping the dynamic forces in the human body. Thus, it is imperative that any macroscopic model describing the complex electro-chemo-mechanical interactions inherent to swelling systems is capable of capturing their complex response to different types of stimulation.

Expansive materials have a multiphasic porous microstructure in common, which is composed of a charged solid matrix, identified as a mixture of macromolecules (polymers, active clay particles, and proteoglycans) and an interstitial fluid, which is either adsorbed to the macromolecules in the form of a thin film (or electrolyte solution) or in a bulk state where the electroneutrality condition is fulfilled pointwisely [11]. The electrochemical properties of macromolecules/water interfaces have been intensively studied and have a tremendous impact on the volume, stiffness, strength, conformational properties, and the permeability of reactive porous media [12,13]. Electrically charged interfaces in colloidal system are very sensitive to several mechanisms of different natures, such as electro-osmosis, chemico-osmosis, streaming current, streaming potentials, and electric currents, which may induce severe alterations in the ionic structure and charge distribution in the medium [14].

The mechanisms underlying the swelling/shrinking phenomena have been widely studied by many researchers in an effort to reach a fundamental approach to establish the dominant swelling mechanisms. The difficulty in accomplishing this task lies is the high sensitivity of the medium when the thickness of the aqueous solution attains a value of 10 nanometers or less. Experimental evidence indicates that for interstices smaller than 50Å swelling is due primarily to hydration forces and diffuse double layer forces are believed to be too weak to explain the anomalous behavior of the adsorbed water (see Low and coworkers [15,16], Derjaguin and coworkers [17], and Israelachvili and coworkers [18]). Conversely, since hydration stresses operate in a short-range fashion, their influence rapidly decays and, consequently, for long-range interactions swelling is dominated by electrostatic effects. In this range, the adsorbed fluid is viewed as an aqueous electrolyte solution consisting of water and entirely or partially dissociated electrolytes whose concentrations are governed by the conventional Gouy–Chapman theory of a diffuse double layer, which assumes point charge ions embedded in a dielectric continuum distributed according to Boltzmann statistics [19–21].

Derjaguin and coworkers [17] described the lyophilic interaction between the adsorbed fluid and solid surface in terms of a disjoining pressure, defined as the excess in the normal fluid pressure relative to the surrounding bulk phase. The electrostatic component of this repulsive force results from the overlapping between adjacent ionic double layers [21]. The averaged counterpart of the disjoining pressure is the swelling pressure, defined as the overburden pressure excess relative to the bulk phase pressure of the outer solution that must be applied to a saturated mixture of particles and fluid in equilibrium with the bulk water in order to keep the layers from moving apart [15].

During the past two decades a significant amount of fundamental research has been undertaken for swelling systems based on purely macroscopic phenomenological approaches (see, e.g., Ref. [22]) and also by using mixture theory for multiphase multi-ionic species porous media ([23–25]) which is also based on the framework of thermodynamics of irreversible processes and Onsager's reciprocity relations (see, e.g., [26–28]). Despite their success, limited accomplishments have been achieved toward the incorporation of the morphology and local electrical double layer (EDL) properties in the macroscopic model and very little information has been available to identify some of the macroscopic electrokinetic coefficients with the local EDL properties [29]. In order to incorporate this information, it becomes essential to develop up-scaling methods [30], wherein the effective swelling medium behavior is rigorously constructed from the propagation of information available at the pore-scale to the macroscale. In homogenization-based approaches, the electrostatic component of the swelling pressure naturally appears in the modified Terzaghi's effective stress principle with the magnitude dictated by the profile of the local EDL potential which satisfies the Poisson–Boltzmann problem [30].

Despite the enormous improvement achieved in the development of constitutive theories for the effective parameters based on the homogenization of the nanopore-scale description, previous models were developed for electrolyte solutions composed of two fully dissociated monovalent ions, Na+ and Cl-, and a constant pH=7 with the constant surface charge solely dictated by the isomorphous substitution reactions. Consequently, the influence of partially dissociated ions within the aqueous solution such as H+ and OH-, along with chemical reactions between the H+ ions and surface charged groups lying on the particle surface leading to pH-dependent surface charge were neglected (see, e.g., Refs. [31,32]). In contrast to the sodium chloride, acids and bases have a profound influence on the magnitude of the surface charge through protonation/deprotonation and ion exchange reactions or surface complexation mechanisms taking place at particle-edges. Such reactions are strongly pH-dependent (see, e.g., Refs. [31,32]).

A first attempt at incorporating pH-effects in the homogenization-based approach has been pursued by Lemaire et al. [33]. Subsequently, in a series of papers (Lima et al. [34–37]) have extended the homogenization based approach of Moyne and Murad [30] to incorporate pH effects in a non-deforming kaolinite clay and applied the theory to numerically simulate an electro-osmosis experiment. The results obtained highlighted the paramount role of the acidification/alkalinization phenomena on the effectiveness of the electrokinetic remediation processes (see Ref. [35] for details).

The aim of this contribution is the development of a two–scale constitutive model for the swelling pressure in charged hydrated porous media at equilibrium with an outer bulk solution incorporating a pH-dependency. To accomplish this task, we proceed within a formal homogenization procedure applied to a nanoscopic portrait of electrically charged macromolecules saturated by an aqueous electrolyte solution composed of four ionic species (Na+,H+,Cl-,OH-). Throughout the manuscript we develop the formal homogenization procedure aiming at constructing macroscopic constitutive laws for the effective electrochemical parameters in terms of pH, salinity, and nanoporosity.

The effective swelling medium behavior appears to be strongly dependent on the local profile of the EDL potential in the nano-pores governed by the Poisson–Boltzmann equation supplemented by a nonlinear Neumann boundary condition enforced by the pH-dependent surface charge. Such a local problem is discretized by the finite-element method and numerically solved in a domain composed of two parallel particles associated with a stratified microstructure to obtain the local EDL potential profile and further reconstruct the macroscopic constitutive law for the swelling pressure. Finally, the two-scale model is applied to numerically simulate a free-swelling experiment with expansion induced by gradual alkalinization of the outer bulk solution.

2. Microscopic Modeling

We begin by presenting the microscopic model describing the electro-chemo-mechanical coupled phenomena at the nanopores. At the local scale, consider the domain occupied by a biphasic solid/fluid system. The solid phase consists of elastic macromolecules electrically charged at the surface, whereas the nanopores are filled by an aqueous completely dissociated NaCl solution (see Fig. 1). In contrast, water molecules are partially dissociated with proton and hydroxile concentrations constrained by the equilibrium constant of the dissociation reaction. The monovalent ions are treated as point charges embedded in a continuum dielectric solvent so that the hydration/water dipole effects and ion finite size effects are thoroughly neglected.

Fig. 1.

Fig. 1

Sketch of the microscopic domains of the model

Ion exchange reactions occur between the macromolecules and the electrolyte solution leading to a varying surface charge density which is neutralized by counter ions to fulfill global electroneutrality. Isomorphous substitution processes, which are typical of montmorillonite clays, provide a constant surface charge implying swelling solely dictated by salinity and particle distance. In addition, new physics stems from the ion exchange reactions at the particle surface which entails a dependence of the surface charge on the pH, giving rise to a nonlinear Neumann boundary condition for the Poisson–Boltzmann problem [34].

2.1. Microscopic Electrochemical Model.

We begin by presenting the electrochemical model for the local ionic concentrations, electric potential, and surface charge at the pore-scale. The well-known behavior of ions in solution is described by the ionization theory, which explains that some molecules can partially or completely dissociate in an aqueous solvent. For example, water molecules are normally subjected to partial dissociation due to a weak phenomenon called autoionization, which is represented by the equilibrium reaction

H2OH++OH- (2.1)

In contrast, sodium chloride (NaCl) in water is considered a completely dissociated strong electrolyte ruled by the reaction

NaClNa++Cl-

The degree of dissociation due to hydrolysis is dictated by the ionic product of water KW, which is defined by the product between the H+ and OH- molar concentrations

KW:=CHb+COHb-=10-14(mol/l)2 (2.2)

where Cib (i=Na+,H+,Cl-,OH-) denotes the molar concentration of each ionic species in the bulk fluid. Denoting Cb as the total concentration of cations (or anions) in the bulk solution the electroneutrality condition enforces the constraint [11]

Cb=CNab++CHb+=CClb-+COHb- (2.3)

Protonation/deprotonation and surface complexation reactions occur at the particle surface. Denoting MH as the protonated structural groups associated with the primary mineral (M-), the hydrogen adsorption/desorption phenomenon is described by the reaction

MHM-+H+(aq) (2.4)

In addition, the charged deprotonated sites are neutralized by the Na+ ions in the form

M-+Na+(aq)MNa (2.5)

Note that the combination of the preceding two mechanisms gives rise to a coupled exchange reaction. Denoting Γmax as the surface density of the particles sites which measures the total number of sites available for adsorption per unit area and γj (j=M-,MH,MNa), the surface concentration of each reagent/product in Eqs. (2.4) and (2.5) we have the constraint

Γmax:=γM-+γMH+γMNa (2.6)

For cation exchange surfaces, the maximum surface density is given by Γmax:=CEC/As, where CEC is the cation exchange capacity and As is the specific surface area [38]. Denoting C¯j:=γj/Γmax (j=M-,MH,MNa) as the corresponding dimensionless surface concentration and CH0+ and CNa0+ the cation molar concentrations at the solid surface, the equilibrium constants associated with Eqs. (2.4) and (2.5) are defined by

K1:=CH0+C¯M-C¯MH=CH0+γM-γMH   andK2:=C¯MNaCNa0+C¯M-=γMNaCNa0+γM- (2.7)

For monovalent species we define the surface charge density σ by the product between the surface concentration of the charged species γM- and Faraday's constant F. Using Eqs. (2.6) and (2.7) we obtain the representation

σ:=-FγM-=-FCECAs{K1K1+CH0++K1K2CNa0+} (2.8)

In addition to information on the parameters (CEC, As, K1, K2) the complete characterization of the surface charge requires knowledge of the cation concentrations at the particle surface (CH0+,CNa0+), which are strongly dependent on the local profile of the EDL potential Ψ. Denoting Ωf as the subdomain occupied by the electrolyte solution, E as the electric field, and (ε˜,ε˜0) as the pair of the vacuum permittivity and relative dielectric constant of the solvent, the Gauss–Poisson equation reads as [39]

εε˜0·E=qE=-Ψ   in   Ωf (2.9)

In the preceding model q denotes the net volumetric charge density defined as

q:=F(CNa++CH+-CCl--COH-) (2.10)

where Ci (i=Na+,Cl-,H+,OH-) is the ionic concentration in the electrolyte solution, which is related to the ionic concentration in the bulk fluid Cib through the Boltzmann distributions [19]

Ci±=Cibexp(FΨRT)   (i=Na+,H+,Cl-,OH-) (2.11)

with R being the ideal gas constant and T denoting the temperature. Using Eqs. (2.3) and (2.11) in Eq. (2.10), we obtain

q=-2FCbsinh(FΨRT) (2.12)

By combining Eqs. (2.9) and (2.12), the local EDL distribution is ruled by the Poisson–Boltzmann equation

ΔΨ=2FCbε˜ε˜0sinh(FΨRT) (2.13)

supplemented by the Neumann condition at the particle/fluid interface

ε˜ε˜0E·n=-σ   on   Γfs (2.14)

with n being the unitary outward normal. The compatibility condition between q and σ, which is typical of the Neumann problem, stems from the global electroneutrality condition

ΩfqdΩf=ε˜ε˜0Ωf·EdΩf=ε˜ε˜0ΓE·ndΓ=-ΓfsσdΓ (2.15)

To close the local electrochemical model, for a given input of bulk concentrations (CNab+, CHb+) it remains to completely characterize the surface charge σ. Recalling the pair of cation concentrations at the particle surface (CNa0+,CH0+), from the Boltzmann distribution we have

Ci0=Cibexp(-FζRT)   with   i=H+,Na+ (2.16)

where ζ:=Ψ|Γfs is the so-called ζ-potential which quantifies the value of the EDL potential at the particle surface. Using Eq. (2.16) in Eq. (2.8) we obtain

σ=-FCECAs[K1K1+(CHb++K1K2CNab+)exp(-Fζ/RT)] (2.17)

It is worth noting that the dependence of the surface charge on the ζ potential brings additional nonlinearity to the Poisson–Boltzmann problem.

We are now ready to formulate our microscopic electrochemical model. Denoting ζ:=Ψ|Γfs as the ζ-potential and given the parameters (F, R, T, KW, K1, K2, CEC, As, ε˜, ε˜0) along with the cationic concentrations in the bulk fluid (CNab+,CHb+), we find the EDL potential Ψ satisfying

{ΔΨ=2FCbε˜ε˜0sinh(FΨRT)inΩfΨ·n=-FCECK1ε˜ε˜0As[K1+(CHb++K1K2CNab+)exp(-FΨRT)]onΓfs (2.18)

with

Cb=CNab++CHb+=CClb-+COHb-   and   COHb-=KWCHb+-1

2.2. Disjoining Pressure.

Given the local profile of the EDL potential satisfying Eq. (2.18), one can explore the local equilibrium condition in the fluid in order to construct the constitutive law for the disjoining pressure. Under thermodynamic equilibrium, the pressure gradient in the electrolyte solution is counterbalanced by a body force of the Coulomb type, given by the product between the net charge density q and the electric field E [40]. We then have

-p+qE=-p-qΨ=0 (2.19)

where p is the thermodynamic pressure in the electrolyte solution. To define the osmotic pressure we follow the procedure of Moyne and Murad [30], which consists of inserting the Boltzmann distribution for the net charge density in Eq. (2.12) in the preceding result to obtain

p+qΨ=(p+0Ψq(Ψ)dΨ)=[p-2RTCb(cosh(FΨRT)-1)]=0 (2.20)

Hence, defining the constant bulk phase pressure of the outer solution

pb:=p-2RTCb[cosh(FΨRT)-1]

the classical osmotic pressure governed by the van't Hoff relation reads

π:=p-pb=RT(CNa++CH++CCl-+COH--2Cb)=2RTCb[cosh(FΨRT)-1] (2.21)

where Eqs. (2.3) and (2.11) have been used. The equilibrium in the fluid can also be rephrased in terms of the Cauchy stress tensor

·σf=0   with   σf:=-pI+τM=-(pb+π)I+τM (2.22)

where the Maxwell stress tensor is defined by [38]

τM:=ε˜ε˜02(2EE-E2I) (2.23)

with the symbol denoting the classical tensorial product between vectors. The overall excess in stress in the electrolyte solution relative to the bulk phase pressure is nothing but the disjoining stress tensor, which incorporates the combined effects of the osmotic pressure and Maxwell stress tensor [41]

Πd:=πI-τM (2.24)

Using the definition in Eq. (2.22) yields

σf:=-pbI-Πd

2.3. Elasticity of the Macromolecules.

Let Ωs be the microscopic domain occupied by the solid particles. Denoting (u,σs) as the microscopic displacement and stress tensor of the solid phase, assuming a linear elastic and isotropic solid, the deformation is governed by the classical linear elasticity problem

·σs=0   inΩs (2.25)
σs=csE(u) (2.26)

where cs is the fourth order elastic tensor given by cijkl=λsδijδkl+μs(δikδjl+δilδjk) with λs=Esν/(1+ν)(1-2ν) and μs=Es(1+ν)/2 as the Lame constants, (Es,ν) as Young's modulus and Poisson's ratio, and δij being the Kronecker δ symbol.

Continuity of the traction vector at the particle/fluid interface yields

σsn=σfn (2.27)

2.4. Mass Balance of the Solid Phase.

Denoting ρs and ρs0 as the densities of the solid particles in the current and reference configurations, under the small strain assumption within the solid particles the mass balance of the solid phase reads

ρs=ρs0(1-·u) (2.28)

2.5. Summary of the Microscopic Model.

The quasi–static microscopic model consists in: given the set of constants (F, R, T, ε˜0, ε˜, ρs0, Es, ν, As, KW), the parameters (CEC, K1, K2) depending on the salinity, the pressure, and cation concentrations in the outer bulk solution (pb,CNab+,CHb+) and Cb:=CNab++CHb+, find the microscopic fields (Ψ,π,E,σf, τM,Πd) and (ρs,u,σs) satisfying

{ΔΨ=2FCbε˜ε˜0sinh(FΨRT)·σf=0σf=-(pb+π)I+τMΠd=πI-τMτM=ε˜ε˜02(2EE-E2I)E=-Ψπ=2RTCb[cosh(FΨRT)-1]   inΩf (2.29)

and

{·σs=0σs=csE(u)ρs=ρs0(1-·u)   inΩs (2.30)

along with the interface conditions

{Ψ·n=σε˜ε˜0σfn=σsn   onΓfs (2.31)

with the surface charge density given by

σ=-FCECAs[K1K1+(CHb++K1K2CNab+)exp(-FζRT)] (2.32)

After solving for the primary unknowns, the quantities (p,q,Ci) (i=Na+, H+, Cl-, OH-) can be computed within the postprocessing approach using Eqs. (2.21), (2.12) and (2.11).

3. Homogenization

In this section, we apply the homogenization procedure [42] to upscale the microscopic model in Eqs. (2.29)(2.32) to the macroscale. Consider the overall microscopic domain Ω=ΩfΩs equipped with a periodic structure. Under the scale-separation assumption, introduce the perturbation parameter ɛ:=l/L with l and L the microscopic and macroscopic characteristic lengths, respectively. The family of perturbed models, referred to herein as ɛ-models, consist of properly scaled equations posed in the perturbed domain Ωɛ, which are considered to be the union of disjoint fluid and solid subdomains Ωfɛ and Ωsɛ with a common interface Γfsɛ. The perturbed domain Ωɛ is periodically reconstructed from the repetition of a micro cell Yɛ and the subdomains Ωfɛ and Ωsɛ along with the interface Γfsɛ given by the union of cell subdomains Yfɛ and Ysɛ and the cell inner boundary Yfsɛ, respectively. Each cell is congruent to a standard unitary parallelepiped period Y (with outer boundary Y) composed of subdomains Yf and Ys sharing a common inner boundary Yfs. Following the standard homogenization procedure we introduce two coordinate systems x and y with x the macroscopic (slow) coordinate and y the microscopic (fast) coordinate satisfying the constraint y=x/ɛ. The starting point ɛ=1 corresponds to our microscopic model. The goal is to investigate the asymptotic homogenized behavior of the swelling medium as ɛ0.

3.1. Dimensionless Form of the Governing Equations.

To capture the correct physics in the upscaling process the coefficients of the microscopic model shall be properly scaled in terms of powers of ɛ. This is accomplished by pursuing the procedure proposed by Auriault [43], which consists of rephrasing the microscopic model in dimensionless form and estimating the dimensionless numbers involved in powers of ɛ. Here, we adopt such a procedure to properly scale the terms in the Poisson–Boltzmann problem. By normalizing the unknowns with respect to the reference values (denoted by the subscript “ref”) and designating the dimensionless variables with the superscript “*,” we have

Ψ*=ΨΨref,   E*=EEref,   σ*=σσref,x*=xL,   =L*,   Δ=L2Δ* (3.1)

In terms of the preceding dimensionless variables, the Poisson– Boltzmann problem can be rephrased as

{B1Δ*Ψ*=sinh(B2Ψ*)E*=-B3Ψ*B4*Ψ*·n=σ* (3.2)

with

B1:=ε˜ε˜0Ψref2FCbL2,B2:=FΨrefRT,B3:=ΨrefLEref,B4:=ε˜ε˜0ΨrefLσref (3.3)

In order to estimate the quantities in the preceding equations, we begin by identifying the microscopic length with the Debye length l:=LD:=(ε˜ε˜0RT/2F2Cb)1/2, which represents the characteristic thickness of the electric double layer. By choosing Ψref of O(RT/F), the reference electric field is characterized by the ratio between Ψref and the microscopic length Ψref=lEref. Furthermore, the first term in the boundary condition (2.31) suggests the choice of σref=ε˜ε˜0Eref. Since the net volumetric charge q is counterbalanced by the surface charge density σ due to electroneutrality (Eq. (2.15)), we choose σref=2FCbl. By using these reference values in Eq. (3.3), we obtain the estimates

B1=(lL)2=O(ɛ2),   B2=O(1),   B3=B4=(lL)=O(ɛ)

By inserting the aforementioned estimates in Eq. (3.2), the rescaled Poisson–Boltzmann equation reads as

{ɛ2ΔΨɛ=2FCbε˜ε˜0sinh(FΨɛRT)Eɛ=-ɛΨɛɛΨɛ·n=σε˜ε˜0 (3.4)

3.2. Matched Asymptotic Expansions.

To upscale the microscopic model, we adopt the methodology based on two-scale asymptotic expansions [42]. The usual procedure consists of postulating an expansion for the unknowns in the form

fɛ(x,y)=k=0ɛkfk(x,y)=f0(x,y)+ɛf1(x,y)+ɛ2f2(x,y)+ (3.5)

with the coefficients fk=fk(x,y) (k=0,1,2...), Y-periodic. Adopting the macroscopic point of view, the differential operators are represented in the form

fɛ(x,y)=xfɛ(x,y)+1ɛyfɛ(x,y) (3.6)

Inserting the ansatz (Eq. (3.5)) in our rescaled microscopic governing equations and collecting the successive powers of ɛ, we obtain equations at different orders. In the fluid domain, we have

y·σf0=0 (3.7)
ΔyyΨ0=2FCbε˜ε˜0sinh(FΨ0RT) (3.8)
x·σf0+y·σf1=0 (3.9)
π0=2RTCb[cosh(FΨ0RT)-1] (3.10)
E0=-yΨ0 (3.11)
τM0=ε˜ε˜02(2E0E0-E02I) (3.12)
σf0=-pbI-Πd0 (3.13)
Πd0=π0I-τM0 (3.14)

For the solid particles, we obtain

y[csEy(u0)]=0 (3.15)
y·σs0=0 (3.16)
x·σs0+y·σs1=0 (3.17)
ρs0=ρs0[1-(x·u0+y·u1)] (3.18)
σs0=cs[Ex(u0)+Ey(u1)] (3.19)

whereas the successive orders of the interface conditions read as

yΨ0·n=σ0ε˜ε˜0 (3.20)
csEy(u0)·n=0 (3.21)
σs0n=σf0n (3.22)
σs1n=σf1n (3.23)

with the O(ɛ0)-surface charge density given by

σ0=-FCECK1As[K1+(CHb++K1K2CNab+)exp(-Fζ0RT)] (3.24)

3.3. Nonoscillatory Displacement.

By invoking Eq. (3.15) together with the homogeneous Neumann condition Eq. (3.21) gives the local rigid motion u0(x,y)=u0(x).

3.4. Local Poisson–Boltzmann Equation.

The local nonlinear problem for the EDL potential at O(ɛ0) stems from Eq. (3.8) along with the boundary conditions in Eqs. (3.28) and (3.24)

{ΔyΨ0=2Fε˜ε˜0(CNab++CHb+)sinh(FΨ0RT)inYyΨ0·n=σ0ε˜ε˜0onYfsσ0=-FCECK1As[K1+(CHb++K1K2CNab+)exp(-Fζ0/RT)] (3.25)

constrained by the global electroneutrality condition

Yfq0dYf=-2FCb|Y|Yfsinh(FΨ0RT)dYf=-1|Y|Ysfσ0Y (3.26)

It is worth noting that the Poisson–Boltzmann problem “shrinks” in the upscaling procedure and does not survive at the macroscale. The local distribution Ψ0=Ψ0(y) will be subsequently used to build-up the effective constitutive laws of the macroscopic parameters. The novelty here is the additional nonlinear dependence of σ0 on Ψ0 and pH, which will be subsequently be transferred to the effective medium behavior through the upscaling process.

3.5. Closure.

To derive the closure problem for the fluctuating displacement of the macromolecules we combine Eqs. (3.16) and (3.19) with the boundary condition in Eq. (3.22). Recalling that u0(x,y)=u0(x) and using Eq. (3.13), we obtain the local problem

y·[csEy(u1)]=0   inYscs[Ex(u0)+Ey(u1)]n=-[pbI+Πd0]n   onYfs (3.27)

By comparing the preceding result with the one derived from the classical homogenization of Biot's equations of poroelasticity derived by Auriault and Sanchez-Palencia [44] or Terada et al. [45], the novelty is the appearance of the disjoining tensor Πd0 in the boundary condition, which incorporates the electrochemical effects.

By linearity, the solution of Eq. (3.27) can be written in the form

u1(x,y)=ζ(y)pb0(x)+ξ(y)Ex(u0(x))+uπ1(x,y)+u(x) (3.28)

The canonical cell problems for the unknowns (ζ,ξ) read as (see Refs. [30,41] for details)

{y·[csEy(ζ)]=0csEy(ζ)n=-I   and   {y·[csEy(ξ)]=0inYscsEy(ξ)n=-csIInnonYsf (3.29)

with II being the unity fourth-order tensor. The appearance of the disjoining tensor Πd0 in the traction boundary condition in Eq. (3.27) gives rise to the electrochemical component uπ1 in Eq. (3.28) satisfying the local problem

{y·[csEy(uπ1)]=0inYscsEy(uπ1)n=-Πd0nonYsf (3.30)

The electrochemical stress σΠ:=csEy(uπ1), which stems from the traction boundary condition due to the disjoining pressure (depending on Ψ0 and pH), is a key variable since it incorporates the local mechanical coupling induced by the pH changes in the external bulk solution.

3.6. Macroscopic Effective Stress Principle.

Defining the average and intrinsic average operators

·:=1|Y|Yi(·)dY   and   ·i:=1|Yi|Yi(·)dYi,   i=(s,f) (3.31)

by averaging Eqs. (3.9) and (3.17) after adding and using the divergence theorem along with the periodicity assumption and the traction boundary condition in Eq. (3.23), yields (recall that n was chosen outward to Yf)

x·σf0+x·σs0=-y·σf1+y·σs1=-1|Y|Yfs(σf1-σs1)ndΓ=0 (3.32)

Defining the overall stress tensor of the mixture σT0 as

σT0:=σf0+σs0 (3.33)

the overall equilibrium reads

x·σT0=0 (3.34)

Furthermore, using the closure (3.28) in Eq. (3.19) yields

σs0=[csII+Ey(ξ)]Ex(u0)-csEy(ζ)pb-csEy(uπ1) (3.35)

in which, when combined with Eqs. (3.13) and (3.33), after averaging, gives the macroscopic effective stress principle

σT0=-αpb+CsEx(u0)-Π0 (3.36)

where the macroscopic coefficients (α, Cs, Π0) are given by

α=φfI-csEy(ζ)Cs=cs(II+Ey(ξ))Π0=Πd0+φsΠS0ΠS0:=-σΠ=-csEy(uπ1)s (3.37)

with φi:=|Yi|/|Y| (i=s,f) being the volume fractions of the solid and fluid phase, respectively. In the preceding representation of the modified Terzaghi's decomposition, α is the Biot–Willis coefficient, Cs is the macroscopic elastic modulus (fourth-rank tensor) and Π0 is the macroscopic electrochemical tensor. By invoking the classical variational analysis presented by Auriault and Sanchez-Palencia [44], one can show the result csɛy(ζ)=y·ξ(y). The macroscopic tensor ΠS0, given by the intrinsic average of the local coupling electrochemical stress, corresponds to the component of Π0 directly responsible for the expansion of the solid matrix and shall henceforth be referred to as the swelling stress tensor [41,46].

The homogenized result (Eqs. (3.36) and (3.37)), together with the cell problem in Eq. (3.30) for uπ1 and the relations in Eqs. (3.10), (3.12), and (3.14) for the disjoining pressure requiring the solution of the local Poisson–Boltzmann (Eq. (3.15) with the Neumann condition for σ0 (dependent on CHb+) provides the two-scale dependency of swelling with the pH of the bulk solution.

3.7. Particle Density.

In order to derive the macroscopic constitutive law for particle density, we use the closure in Eq. (3.28) in Eq. (3.18) to obtain

ρs0=ρs0[1-(x·u0+pby·ζ(y)+y·ξ(y):ɛx(u0(x))   +y·uπ1(x,y))](3.38) (3.38)

where A:B=tr(ABT) denotes the classical inner product between tensors. Without loss of generality, assume the absence of fluctuations at the reference configuration so that ρs0=ρs0(x). Applying the intrinsic average operator the effective equation for the particle density is given by

ρs0s-ρs0ρs0=-τ:Ex(u0(x))+pbβ+γ (3.39)

where

τ=(φsI+y·ξ(y)s)=I-(φfI-csɛy(ζ))=I-αβ=-y·ζ(y)sγ=-y·uπ1(x,y)s (3.40)

The pair of coefficients (β,τ), which are solely dependent on cell geometry, are classical poroelastic coefficients [47]. The parameter β is the particle compressibility given by the inverse of the local bulk modulus β=Ks0-1. The coefficient τ=I-α consists of a tensorial generalization of the ratio between the bulk modulus of the matrix and the solid. The novelty here is the additional electrochemical compressibility γ which from the closure (Eq. (3.30)) quantifies changes in the particle volume due to the effects of the disjoining pressure. Since Πd0 varies with the fast coordinate y (with the exception of microstructures characterized by parallel particles [46]), unlike the other linear poroelastic parameters, γ is a nonlinear function of pH and salinity. We remark upon the highly innovative issue elucidated herein regarding the construction of the two-scale dependency of the electrochemical compressibility on the pH.

3.8. Closure Law for the Volume Fraction.

To close the macroscopic system it remains for us to establish a complementary equation for the porosity. This can be accomplished by considering the Lagrangian form of the macroscopic mass balance of the solid phase. Denoting |Y0| and |Ys0| as the volumes of the cell and occupied by the particles in the reference configuration, respectively, and φs0=|Ys0|/|Y0| as the corresponding volume fraction, the integral form of the solid phase mass balance reads as

1|Y0|Ys0ρs0dy=1|Y0|Ysρs0dy

In terms of the intrinsic volume averaging operator (the second term in Eq. (3.31)) the preceding result can be rewritten as (recall that ρs0=ρs0(x))

φs0ρs0=|Ys||Y0|ρs0s=φs|Y||Y0|ρs0s (3.41)

In terms of the macroscopic Jacobian J=|Y|/|Y0|, which governs volume changes relative to the reference configuration, the preceding result can be rephrased as

ρs0φs0=ρs0sφsJ (3.42)

which corresponds to the form postulated by Coussy [47]. Using the macroscopic closure relation lnJ=x·u0, we have

ρs0sφsexp(x·u0)=ρs0φs0 (3.43)

which, when combined with Eq. (3.39), yields

[1+(I-α):Ex(u0(x))+pbβ+γ]φs=φs0exp(-x·u0)

The preceding result brings new insight into the role of the electrochemical compressibility γ in the macroscopic mass balance of the solid phase.

3.9. Summary of the Two-Scale Model.

We are now ready to formulate our two-scale model. Let ΩM be the macroscopic domain occupied by an expansive material saturated by an aqueous electrolyte solution containing four monovalent ions (Na+,H+,Cl-,OH-). Given the set of constants (ρs0, φs0, cs, F, R, T, ε˜0, ε˜, As), the salinity dependent parameters (CEC, K1, K2), the characteristic functions (ζ, ξ) solution of Eq. (3.29), and the input data in the bulk fluid (CNab+, CHb+, pb), the two-scale problem consists of finding the macroscopic unknowns (σT0,u0,ρs0,φs) satisfying

{x·σT0=0σT0=-αpb+CsEx(u0)-Π0ρs0s=ρs0[1+(I-α):Ex(u0)+pbβ+γ][1+(I-α):Ex(u0(x))+pbβ+γ]φs=φs0exp(-x·u0)   inΩM (3.44)

where the effective parameters (α,Cs,Π0,τ,β,γ) are given by

{α=(1-φs)I-csEy(ζ)Cs=cs(II+Ey(ξ))β=y·ζ(y)sγ=y·uπ1(x,y)s             (3.45)

and

{Π0=Πd0+φsΠS0Πd0=π0I-τM0ΠS0=-σΠs=-csEy(uπ1)sπ0=2RTCb[cosh(FΨ0RT)-1]τM0=ε˜ε˜02(2E0E0-E02I) (3.46)

together with

{ΔyΨ0=2Fε˜ε˜0(CNab++CHb+)sinh(FΨ0RT)inYfyΨ0·n=σ0ε˜ε˜0onYfsσ0=-FCECK1As[K1+(CHb++K1K2CNab+)exp(-FΨ|Γ/RT)] (3.47)

and

{y·σΠ=0σΠ=csEy(uπ1)   inYsσΠn=-Πd0n   onYsf (3.48)

In the preceding representations, the purely mechanical coefficients (α,Cs,β) solely depend on the cell geometry, whereas the electrochemical parameters (Π0, γ) also depend on the pH and salinity of the bulk water.

The model developed herein generalizes the previous twoscale models [30,41,46] for swelling media by incorporating the dependence of the electrochemical parameters on the pH. The new microphysics has been incorporated through the nonlinear Neumann condition for the Poisson–Boltzmann equation which entails pH-dependence at the pore-scale. The propagation of such dependency to the macroscale through the homogenization procedure gives rise to the new pH-dependent constitutive laws for the effective parameters.

4. Reduced Cases

In the following, we consider particular cases of the general two–scale model.

4.1. Microscopic Incompressibility.

We begin by considering the case where the local volumetric deformation of the particles is small compared to the volume change of the matrix. Under this local incompressibility assumption, the local characteristic functions satisfy the constraints y·ζ=y·uπ1=0 and csEy(ζ)=y·ξ=-I, which yields y·ξ(y)=csEy(τ)=-φsI and α=I and β=γ=τ=0, along with ρs0s=ρs0. Hence the macroscopic governing Eq. (3.44) reduces to

{x·σT0=0σT0=-pbI+CsEx(u0)-Π0φs=φs0exp(-x·u0)   inΩM (4.1)

whereas the elastic problem (Eq. (3.48)) for uπ1 becomes an incompressibility elasticity problem

{y·σΠ=0σΠ:=-psI+2μsEy(uπ1)y·uπ1=0      in   YsσΠn=-Πd0      on   Yfs (4.2)

with ΠS0=-σΠ and ps denoting a nonconstitutive pressure in the solid particles.

4.2. Stratified Microstructure.

Hereafter we consider a particular form of microstructure composed of parallel particles of face-to-face contact subject to the traction induced by the disjoining stress and counterbalanced by the elastic force csEx(u0), which acts to mitigate swelling in a parallel plane where the solid matrix is connected. In Fig. 2 we depict a parallel particle arrangement with each particle of thickness δ is separated by each other by a distance 2H. In this idealized portrait (x,y) denotes the pair of one-dimensional macroscopic and microscopic coordinates in the direction orthogonal to the particle surface, respectively, and the components of (Π0, Πd0, ΠS0, τM0, E, u0, u1, Cs) normal to the particle are denoted without bold face. Let (σy0) be the component of the total stress and Es is the Young's modulus in the y-direction. The effective equations in Eq. (4.1) reduce to the following one-dimensional system

{dσy0dx=0σy0=-pb+Esdu0dx-Π0φs=φs0exp(-du0dx) (4.3)

where the one-dimensional problems for (Π0,ΠS0) reduce to

{Π0=Πd0+φsΠS0ΠS0=-σΠs (4.4)

with

τM0=ε˜ε˜02(dΨ0dy)2      and      Πd0=π0-τM0 (4.5)

Fig. 2.

Fig. 2

Stratified microstructure of parallel particles

The local electric potential distribution Ψ0=Ψ0(y) is governed by the one-dimensional version of the Poisson–Boltzmann problem

{d2Ψ0dy2=2FCbε˜ε˜0sinh(FΨ0RT)fory(0,H)dΨ0dy=0aty=0dΨ0dy=σ0ε˜ε˜0aty=Hσ0=-FCECK1As[K1+(CHb++K1K2CNab+)exp(-Fζ0/RT)] (4.6)

and the local one-dimensional incompressible elasticity problem (Eq. (4.2)) for the pair (uπ1,σΠ) reduces to

{dσΠdy=0σΠ=-p˜s+μsduπ1dyduπ1dy=0   fory[H,H+δ/2]σΠ=-Πd0   aty=H (4.7)

In the stratified arrangement, the reduced representation for the swelling pressure is obtained by multiplying the first term in the Poisson–Boltzmann problem (Eq. (4.6)) by dΨ0/dy and integrating from y=0 to an arbitrary point “y.” Using the boundary conditions in the second term in Eq. (4.6), the normal component of the Maxwell tensor in the first term in Eq. (4.5) is given by

τM0=2FCbΨ0Ψ0sinh(FΨ0RT)dΨ=2RTCb[cosh(FΨ0RT)-cosh(FΨ0RT)]

where Ψ0 denotes the value of Ψ0 at the line of symmetry y=0.

By inserting the representation (Eq. (4.5)) along with the van't Hoff relation for the osmotic pressure, Eq. (3.10) gives the constant value for the disjoining pressure

Πd0=2RTCb[cosh(FΨ0RT)-1] (4.8)

In addition, the solution of the incompressible elasticity problem (Eq. (4.7)) with the constant traction boundary condition gives σΠ=-Πd0 and furnishes the simplified averaged result

ΠS0=Πd0s=Πd0 (4.9)

which reproduces the classical conjecture that the swelling pressure is nothing but the disjoining pressure in the stratified arrangement of face-to-face particles.

Finally, combining the first term in Eq. (4.4) and Eq. (4.9) we also obtain for the electrochemical tensor

Π0=φfΠd0+φsΠd0=Πd0=ΠS0 (4.10)

It is worth noting that (τM0,Πd0,Π0) also exhibit a tangential component to the particle surface giving rise to a surface tension (see Ref. [46] for details).

5. Numerical Modeling

In what follows we illustrate the potential of the two–scale model in reconstructing new pH-dependent constitutive laws for the swelling pressure. To this end, one needs to solve the Poisson–Boltzmann problem, numerically supplemented by the nonlinear boundary condition in Eq. (3.47). For simplicity, the problem is presented in dimensionless form. Denoting Ψ*=FΨ0/RT as the dimensionless electric potential and LD:=(ɛɛ0RT/2F2Cb)1/2 as the Debye length, we rephrase Eq. (3.47) in the form

{ΔyΨ*=(1LD)2sinh(Ψ*)in   YfyΨ*·n=Fσ0RTε˜ε˜0on   Yfs (5.1)

We present the variational formulation of Eq. (5.1), followed by a linearization procedure within the Newton–Raphson method and spatial discretization by the Galerkin method. To this end, begin by introducing the appropriate function spaces. Let L2(Yf) be the space of square integrable scalar-valued functions defined in Yf equipped with the usual inner products

(f,g):=Yffgdy   and   (f,g)Γ:=YfsfgdΓ (5.2)

Furthermore, let U:=H1(Yf) be the subspace of L2(Yf) of functions with derivative f in L2(Yf). The weak form of the nonlinear Poisson–Boltzmann problem consists of: Find Ψ*U such that

(yΨ*,yw)+LD-2(sinhΨ*,w)=f(Ψ*,w),   wU (5.3)

with

f(Ψ*,w)=FRTε˜ε˜0Yfsσ0(Ψ*)wdΓ (5.4)

Application of the Newton–Raphson method to Eq. (5.3) gives the linearized problem: Given Ψ*k, the solution of Eq. (5.3) at a Kth-iteration, find the subsequent approximation Ψ*k+1 satisfying

B(Ψ*k+1,w)=F(Ψ*k,w),   wU   and   k=1,2,...,n (5.5)

where

B(Ψ*k+1,w)=(yΨ*k+1,yw)+LD-2(cosh(Ψ*k)Ψ*k+1,w)   -AB(Ψ*k+1exp(-ζ*k)(1+Bexp(-ζ*k))2,w)ΓF(Ψ*k,w)=LD-2(cosh(Ψ*k)(Ψ*k-sinh(Ψ*k),w)   -A(1+Bexp(-ζ*k)(1-Ψ*k)(1+Bexp(-ζ*k))2,w)Γwithζ*:=FζRT;   A:=-F2CTCRTε˜ε˜0As;   B:=CHb++K1K2CNab+K1 (5.6)

Denoting Uh as a finite-dimensional subspace of U containing piecewise linear or bilinear polynomials on triangles or quadrilaterals of a partition of Yf, the Galerkin approximation of Eq. (5.5) reads as

B(Ψ*hk+1,wh)=F(Ψ*hk,wh)   whUh   and   k=1,2,...,n (5.7)

6. Macroscopic Constitutive Laws for a Cation Exchange Resin

The two-scale model is now applied to numerically reconstruct the macroscopic constitutive law for the swelling pressure in a stratified arrangement of parallel particles. For the determination of the microscopic parameters (CEC, K1, K2, As), we consider a particular colloidal system characterized by a cation exchange resin (Purolite C104E (as shown in Fig. 3); see Ref. [48]).

Fig. 3.

Fig. 3

Portrait of dry and saturated swollen Purolite C104E cation exchange resin

The microstructure of such an expansive medium is given by a polymeric chain predominantly composed of carboxylic functional groups (-RCOO-) with R denoting the polyacrilic acid and divinylbenzene groups lying in the resin matrix (see, e.g., Ref. [49]). The particular forms of the cation exchange reaction, Eqs. (2.4) and (2.5) (with M-=RCOO-), reads as

RCOOHRCOO-+H+(aq),   K1:=CH0+C¯RCOO-C¯RCOOHRCOO-+Na+(aq)RCOONa,   K2:=C¯RCOONaCNa0+C¯RCOO-

In Ref. [50] Ponce reported the results obtained for the cation exchange capacity measured by batch potentiometric titrations of the carboxylic resin C104E Purolite and blank solution [51,52]. In a concise description of the experiment, a matrix of Purolite and NaCl blank solution is gradually mixed with a base (NaOH) and the pH is measured at equilibrium for each concentration of NaCl and NaOH. The experimental results are depicted in Fig. 4.

Fig. 4.

Fig. 4

Batch titration curve of the C104E resin for three NaCl concentrations

Following the procedure described in Helfferich [52], from the potentiometric titrations, the cation exchange capacity can be computed from the maximum value of the milliequivalent of H+ released in the titration experiment. For each salinity, such a value is computed from the difference between the milliequivalent of base added in the resin and blank solution (for a fixed pH) in the form

CEC=max([NaOHR]-[NaOHB])pH

where the notation [NaOHR] and [NaOHB] represents the milliequivalents of titrant added during the titration of the resin and the blank solution, respectively.

The data of the titration experiment can also be used to compute the dissociation constants K1 and K2 using the Hyperquad software [53-55]. In Table 1 the values of (K1,K2,CEC) are displayed as a function of salinity. For the specific surface area of the resin, we adopt the experimental value As=900m2/g, which is reported in the literature for similar carboxylic resins [56-58].

Table 1.

Equilibrium parameters obtained for the Purolite C104E ion exchange resin

[NaCl] K 1 (M) K 2 (M-1) CEC (m Eq/g)
1 9.8084×10-6 0.6987 4.712
0.1 6.4669×10-6 5.1963 4.516
0.01 6.7390×10-7 0.8482 4.410

The previously discussed experimental values of the microscopic parameters complete the microscopic information for the numerical upscaling procedure. By exploring the numerical simulations of the Poisson–Boltzmann problem at the pore-scale and averaging to the macroscale, we obtain the constitutive law for the swelling pressure in terms of the pH, salinity, and particle separation H. Since the macroscopic response is strongly dependent on the local profiles of the EDL potential and electric field, in what follows we begin by depicting the local behavior of these quantities parametrized by the pH and salinity. The simulations were carried out using linear elements. In Fig. 5, we display the local profile of Ψ* along with the dimensionless electric field E*=HdΨ*/dx for Cb=10-3M in the acid regime of pH=3. The magnitude of Ψ* is higher next to the particle (y=0) and attains a minimum in the middle of the interlayer spacing where the electric field vanishes.

Fig. 5.

Fig. 5

Electric potential and electric field distributions (E*=HyΨ*) for NaCl concentration 0.001 M and pH = 3

The increase in pH tends to amplify the surface charge in the fourth term in Eq. (4.6), enforcing more strongly the Neumann condition for the Poisson–Boltzmann problem, leading to an increase in the magnitude of the EDL potential (see Fig. 6). In Figs. 7 and 8, we depict the dependence of the surface charge with pH for two different salinities and particle separation, respectively. One may clearly observe a high pH-dependency in the acid range (2pH6). Conversely, in the alkaline range pH>6, since the concentration of H+ is low, the constitutive law of the surface charge σ (the fourth term in Eq. 4.6) is dominated by the term involving the Na+ concentration leading to a strong dependence of σ with salinity. More precisely, the decrease in salinity and particle separation tends to amplify the magnitude of the surface charge, as we may observe in Figs. 7 and 8.

Fig. 6.

Fig. 6

Electric potential and electric field distributions (E*=HyΨ*) for NaCl concentration 0.001 M and pH = 11

Fig. 7.

Fig. 7

Charge density as a function of pH for H = 1 nm and two salinities

Fig. 8.

Fig. 8

Charge density as a function of pH for NaCl concentration 0.1 M and two thicknesses

Similar behavior is observed for the ζ-potential (see Figs. 9 and 10) since the increase in σ with pH more strongly enforces the Neumann condition for the Poisson–Boltzmann equation, also implying an amplification of the magnitude of Ψ|y=H.

Fig. 9.

Fig. 9

Zeta potential as a function of pH for H = 1 nm and two salinities

Fig. 10.

Fig. 10

Zeta potential as a function of pH for NaCl concentration 0.1 M and two thicknesses

Finally, in Figs. 11 and 12 we portrait the dependency of the swelling pressure with the pH for two values of salinities and particle separation. From Eq. (4.8) the swelling pressure (equal to Πd0 in the stratified arrangement) is mainly dictated by the magnitude of Ψ*, which has a similar dependence of the ζ-potential with salinity, pH, and H. Thus, ΠS0 exhibits high sensitivity and grows with the pH in the acid range (conversely, a weak dependence in the alkaline range) and is strongly influenced by the NaCl concentration for high pH. The computational simulations presented herein generalize the EDL results by incorporating the additional dependence of the disjoining pressure with pH.

Fig. 11.

Fig. 11

Swelling pressure as a function of pH for H = 1 nm and two salinities

Fig. 12.

Fig. 12

Swelling pressure as a function of pH for H = 4 nm and two salinities

7. Applications to a pH-Sensitive Free Swelling Experiment

Finally, the two-scale model is applied to numerically simulate the free swelling experiment of the cation exchange resin (Purolite C104E [48]). In the one-dimensional setting, the macroscopic constraint of the absence of overburden enforces equality between the total stress and the surrounding bulk pressure (σy0=-pb). Consequently, the only counterstress to the disjoining pressure acting to mitigate swelling is Terzaghi's contact stress. Thus, setting σy0=-pb in the system (Eq. (4.3)) and using the equality (Eq. ((4.10)) between Π0 and ΠS0 gives the constraint

ΠS0=Esdu0dx=-Esln(1-φf1-φf0) (7.1)

where φf=H/(H+δ/2) in the stratified arrangement. The numerical solution of the free swelling problem includes the additional unknown H and thus requires an iterative procedure described below:

  • Given the triplet (CHb,CNab,pb) in the bulk fluid, choose the particle separation Hk at the kth-iteration.

  • Given Hk, solve the discrete Poisson–Boltzmann problem supplemented by the nonlinear Neumann condition to compute the electric potential Ψ*k.

  • Compute the swelling pressure ΠS0k at the kth-iteration using Eqs. (4.8) and (4.9).

  • Enforce local equilibrium by imposing the equality between the ΠS0k and the elastic restoring force (Eq. (7.1)).

  • Given φk=Hk/(Hk+δ/2), update the porosity φk+1 (or particle distance Hk+1) using the mass balance of the solid phase (Eq. (7.1)).

  • Restart the algorithm with the new Hk+1 and repeat the loop until convergence is reached for a given tolerance.

Our numerical results are expressed in terms of the swelling index I which, in the stratified arrangement, is given by

I:=mfms=(Hδ/2)(ρfρs) (7.2)

where (mi,ρi) (i=f,s) denote the mass and density of fluid and solid, respectively. In Table 2, we present the values used for these parameters in the free-swelling experiment. It is worth noting that under the local incompressible assumption I is a linear function of H.

Table 2.

Parameters adopted in the free-swelling experiment

Water density ρf 1000Kg/m3
Solid density ρs 1180Kg/m3
Surface area As 900m2/g
Young's modulus Es 3.2MPa
Particle thickness δ 2×10-9m
Reference porosity φf0 0.45

The plots in Fig. 13 show the swelling index I as a function of pH for three different salinities and compare them with the experimental results reported in Ref. [50]. In a similar fashion, we observe a high sensitivity of I with a pH in the acid range 2pH6, which substantially decreases in the basic regime pH6 where the swelling index reaches a plateau. Thus, one may observe that I inherits the similar behavior of the swelling pressure and surface charge, mainly dictated by two somewhat different patterns inherent to the acid and alkaline ranges.

Fig. 13.

Fig. 13

Swelling index in the free swelling experiment as a function of pH for different salinities

8. Conclusion

In this work, we developed a two-scale equilibrium model for pH-sensitive expansive porous media. Within the framework of the homogenization procedure based on formal asymptotic expansions applied to upscale the pore-scale electrochemical model based on the elasticity problem for the macromolecules coupled with the Poisson–Boltzmann problem for the electrolyte solution supplemented by a nonlinear surface charge ruled by pH-dependent ion exchange reactions, an effective constitutive law for the swelling pressure was rigorously derived. The effective medium behavior constructed herein brought new physics to our knowledge on swelling systems since it incorporated the additional dependence of the expansion of the medium on the pH of the external bulk solution, which was inherited from the local behavior of the electrochemical stress.

The model was applied to numerically simulate a free-swelling experiment. Numerical results obtained by the finite element method showed good agreement with experimental data, illustrating a strong dependence of swelling on the pH in the acid region of low pH and a more pronounced sensitivity on salinity in the alkaline range of high pH.

Further work is in progress to extend the model to double porosity expansive media.

Acknowledgment

Marcio Murad would like to thank Professor Olivier Coussy for his very fruitful comments regarding the thermodynamic aspects of several two- and three-scale models developed by Christian Moyne, Marcio A. Murad, and coworkers.

Contributor Information

Ranena V. Ponce F., Pontifícia Universidade Católica do Rio de Janeiro PUC/RJ, Department of Mechanical Engineering, R. Marques de Sao Vicente 225, Gavea, 22453-900, Rio de Janeiro, RJ, Brazil, e-mail: poncerv@puc-rio.br

Márcio A. Murad, Laboratório Nacional de Computacao Científica LNCC/MCT, Av Getúlio Vargas 333, 25651–070 Petrópolis, RJ, Brazil, e-mail: murad@lncc.br

Sidarta A. Lima, Universidade Federal do Rio Grande do Norte UFRN, Av Salgado Filho, s/n 59078–970 Natal, RN, Brazil, e-mail: sidarta@ccet.ufrn.br

References

  • [1]. Parker, A., and Rae, J. E., 2010, Environmental Interactions of Clays: Clays and the Environment, Springer, New York: (soft cover reprint of hardcover 1st edition, 1998). [Google Scholar]
  • [2]. Nelson, J. and Miller, D. J., 1997, Expansive Soils: Problems and Practice in Foundation and Pavement Engineering, Wiley-Interscience, New York. [Google Scholar]
  • [3]. Steinberg, M., 1998, Geomembranes and the Control of Expansive Soils, 1st ed., McGraw-Hill Professional, New York [Google Scholar]
  • [4]. Nguyen, V. X. and Abousleiman, Y. N., 2010, “Incorporating Electrokinetic Effects in the Porochemoelastic Inclined Wellbore Formulation and Solution,” An. Acad. Bras. Cienc., 82(1), pp. 195–22210.1590/S0001-37652010000100015 [DOI] [PubMed] [Google Scholar]
  • [5]. Li, Y. C., Cleall, P. J., and Thomas, H. R., 2011, “Multi-Dimensional Chemo-Osmotic Consolidation of Clays,” Comput. Geotech., 38(4), pp. 423–42910.1016/j.compgeo.2011.02.005 [Google Scholar]
  • [6]. Xiang, A. S. and McHugh, A. J., 2011, “A Generalized Diffusion-Dissolution Model for Drug Release From Rigid Polymer Membrane Matrices,” J. Membr. Sci., 366(1–2), pp. 104–11510.1016/j.memsci.2010.09.052 [Google Scholar]
  • [7]. Li, D. M., Yang, H. L., and Emmerich, H., 2011, “Phase Field Model Simulations of Hydrogel Dynamics Under Chemical Stimulation,” Colloid Polym Sci., 289(5–6), pp. 513–52110.1007/s00396-011-2381-4 [Google Scholar]
  • [8]. Lai, F. K. and Li, H., 1990, “Transient Modeling of the Reversible Response of the Hydrogel to the Change in the Ionic Strength of Solutions,” Mech. Mater., 43(6), pp. 287–29810.1016/j.mechmat.2011.03.001 [Google Scholar]
  • [9]. Wallmersperger, T., Ballhause, D., Kroplin, B., Guenther, M., and Gerlach, G., 2009, “Coupled Multi-Field Formulation in Space and Time for the Simulation of Intelligent Hydrogels,” J. Intell. Mater. Syst. Struct., 20(12), pp. 1483–1492 10.1177/1045389X09105236 [Google Scholar]
  • [10]. Mow, V. and Guo, X. E., 2002, “Mechano-Electrochemical Properties of Articular Cartilage: Their Inhomogeneities and Anisotropies,” Ann. Rev. Biomed. Eng., 4, pp. 175–20910.1146/annurev.bioeng.4.110701.120309 [DOI] [PubMed] [Google Scholar]
  • [11]. Newman, J. and Thomas-Alyea, K. E., 2004, Electrochemical Systems, 3rd ed., Wiley-Interscience, New York. [Google Scholar]
  • [12]. Achari, G., Joshi, R. C., Bentley, L. R., and Chatterji, S., 1999, “Prediction of the Hydraulic Conductivity of Clays Using the Electric Double Layer Theory,” Can. Geotech. J., 36, pp. 783–79210.1139/cgj-36-5-783 [Google Scholar]
  • [13]. Loret, B., Hueckel, T., and Gajo, A., 2002, “Chemo-Mechanical Coupling in Saturated Porous Media: Elastic-Plastic Behavior of Homo-Ionic Expansive Clays,” Int. J. Solids Struct., 39, pp. 2773–280610.1016/S0020-7683(02)00151-8 [Google Scholar]
  • [14]. Sherwood, J. D., 1994, “A Model for the Flow of Water and Ions Into Swelling Shale,” Langmuir, 10, pp. 2480–248610.1021/la00019a075 [Google Scholar]
  • [15]. Low, P. F., 1987, “Structural Component of the Swelling Pressure of Clays,” Langmuir, 3, pp. 18–2510.1021/la00073a004 [Google Scholar]
  • [16]. Low, P. F., 1994, “The Clay/Water Interface and its Role in the Environment,” Prog. Colloid Polym. Sci., 95, pp. 98–10710.1007/BFb0115697 [Google Scholar]
  • [17]. Derjaguin, B. V., Churaev, N. V., and Muller, V. M., 1987, Surface Forces, Plenum, New York [Google Scholar]
  • [18]. Israelachvili, J., 1991, Intermolecular and Surface Forces, Academic, New York [Google Scholar]
  • [19]. Hunter, R. J., 1994, Introduction to Modern Colloid Science, Oxford University Press, New York [Google Scholar]
  • [20].Van Olphen, H., 1977, An Introduction to Clay Colloid Chemistry: For Clay Technologists, Geologists, and Soil Scientists, Wiley, New York: [Google Scholar]
  • [21]. Mitchell, J. K., 1993, Fundamentals of Soil Behaviour, 2nd ed., John Wiley and Sons, New York [Google Scholar]
  • [22]. Guimaraes, L. D., Gens, A., and Olivella, S., 2007, “Coupled Thermo-Hydro-Mechanical and Chemical Analysis of Expansive Clay Subjected to Heating and Hydration,” Transp. Porous Media, 66(3), pp. 341–37210.1007/s11242-006-0014-z [Google Scholar]
  • [23]. Ehlers, W., Acarturk, A., and Karajan, N., 2010, “Advances in Modeling Saturated Soft Biological Tissues and Chemically Active Gels,” Arch. Appl. Mech., 80(5), pp. 467–47810.1007/s00419-009-0386-y [Google Scholar]
  • [24]. Bennethum, L. S. and Cushman, J. H., 2002, “Multicomponent, Multiphase Thermodynamics of Swelling Porous Media With Electroquasistatics: Part I,” Transp. Porous Media, 47(3), pp. 309–336 10.1023/A:1015558130315 [Google Scholar]
  • [25]. Bennethum, L. S. and Cushman, J. H., 2002, “Multicomponent, Multiphase Thermodynamics of Swelling Porous Media With Electroquasistatics: Part II,” Transp. Porous Media, 47(3), pp. 337–36210.1023/A:1015558130315 [Google Scholar]
  • [26]. Huyghe, J. M. and Janssen, J. D., 1997, “Quadriphasic Mechanics of Swelling Incompressible Porous Media,” Int. J. Eng. Sci., 25, pp. 793–80210.1016/S0020-7225(96)00119-X [Google Scholar]
  • [27]. Yeung, A. T. and Mitchell, J. K., 1993, “Coupled Fluid, Electrical and Chemical Flows in Soil,” Geotechnique, 43(1), pp. 121–13410.1680/geot.1993.43.1.121 [Google Scholar]
  • [28]. Lai, W. M., Hou, J. S., and Mow, V. C., 1991, “A Triphasic Theory for the Swelling and Deformation Behaviors of Articular Cartilage,” ASME J. Biomech. Eng., 113, pp. 245–25810.1115/1.2894880 [DOI] [PubMed] [Google Scholar]
  • [29]. Looker, J. R. and Carnie, S. L., 2006, “Homogenization of the Ionic Transport Equations in Periodic Porous Media,” Transp. Porous Media, 65, pp. 107–13110.1007/s11242-005-6080-9 [Google Scholar]
  • [30]. Moyne, C. and Murad, M., 2006, “A Two-Scale Model for Coupled Electro-Chemo-Mechanical Phenomena and Onsager's Reciprocity Relations in Expansive Clays: I. Homogenization Analysis,” Transp. Porous Media, 62, pp. 333–38010.1007/s11242-005-1290-8 [Google Scholar]
  • [31]. Alshawabkeh, A. N. and Acar, Y. B., 1996, “Electrokinetic Remediation: Theoretical Model,” J. Geotech. Eng., 122, pp. 186–19610.1061/(ASCE)0733-9410(1996)122:3(186) [Google Scholar]
  • [32]. Dangla, P., Chong, T. F., and Gaulard, F., 2004, “Modelling of pH-Dependent Electro-Osmotic Flows,” C. R. Mec., 332(11), pp. 915–92010.1016/j.crme.2004.07.008 [Google Scholar]
  • [33]. Lemaire, T., Lemaire, T., Moyne, C., and Stemmelen, D., 2007, “Modeling of Electro-Osmosis in Clayey Materials Including pH Effects,” Phys. Chem. Earth, 32, pp. 441–45210.1016/j.pce.2006.05.004 [Google Scholar]
  • [34]. Lima, S. A., Murad, M. A., and Moyne, C., and Stemmelen, D., 2010, “A Three-Scale Model of pH-Dependent Flows and Ion Transport With Equilibrium Adsorption in Kaolinite Clays: I. Homogenization Analysis,” Transp. Porous Media, 85(1), pp. 23–44 10.1007/s11242-010-9545-4 [Google Scholar]
  • [35]. Lima, S. A., Murad, M. A., Moyne, C., Stemmlen, D., and Boutin, C., 2010, “A Three-Scale Model of pH-Dependent Flows and Ion Transport With Equilibrium Adsorption in Kaolinite Clays: II. Effective-Medium Behavior,” Transp. Porous Media, 85(1), pp. 45–7810.1007/s11242-010-9546-3 [Google Scholar]
  • [36]. Lima, S. A., Murad, M. A., Moyne, C., and Stemmlen, D., 2010, “Electro-Osmosis in Kaolinite With pH-Dependent Surface Charge Modelling by Homogenization,” An. Acad. Bras. Cienc., 82(1), pp. 223–24210.1590/S0001-37652010000100016 [DOI] [PubMed] [Google Scholar]
  • [37]. Lima, S. A., Murad, M. A., Moyne, C., and Stemmelen, D., 2008, “A Three-Scale Model for pH-Dependent Steady Flows in 1:1 Clays,” Acta Geotech., 3(2), pp. 153–17410.1007/s11440-008-0070-3 [Google Scholar]
  • [38]. Stumm, W., 1992, Chemistry of the Solid-Water Interface: Processes at the Mineral-Water and Particle-Water Interface in Natural Systems, Wiley-Interscience, New York. [Google Scholar]
  • [39]. Landau, L. D. and Lifshitz, E. M., 1960, Electrodynamics of Continuous Media, Pergamon, Oxford, UK [Google Scholar]
  • [40]. Eringen, A. C. and Maugin, G. A., 1982, Electrodynamic of Continua, Springer-Verlag, Berlin [Google Scholar]
  • [41]. Moyne, C. and Murad, M., 2002, “Electro-Chemo-Mechanical Couplings in Swelling Clays Derived From a Micro/Macro-Homogenization Procedure,” Int. J. Solids Struct., 39, pp. 6159–619010.1016/S0020-7683(02)00461-4 [Google Scholar]
  • [42]. Sanchez–Palencia, E.1980, Non-Homogeneous Media and Vibration Theory, Lecture Notes in Physics, Springer-Verlag, Berlin [Google Scholar]
  • [43]. Auriault, J. L., 1991, “Heterogeneous Media: Is an Equivalent Homogeneous Description Always Possible?,” Int. J. Eng. Sci., 29, pp. 785-79510.1016/0020-7225(91)90001-J [Google Scholar]
  • [44]. Auriault, J. L. and Sanchez-Palencia, E., 1977, “Etude du comportement macroscopique d'un milieu poreux saturee deformable,” J. Mec., 16(4), pp. 575–603 [Google Scholar]
  • [45]. Terada, K., Ito, T., and Kikichi, N., 1998, “Characterization of the Mechanical Behaviors of Solid-Fluid Mixture by the Homogenization Method,” Comput. Methods Appl. Mech. Eng., 153, pp. 223–25310.1016/S0045-7825(97)00071-6 [Google Scholar]
  • [46]. Moyne, C. and Murad, M., 2003, “Macroscopic Behavior of Swelling Porous Media Derived From Micromechanical Analysis,” Transp. Porous Media, 50, pp. 127–15110.1023/A:1020665915480 [Google Scholar]
  • [47]. Coussy, O., 1994, Mechanics of Porous Continua, John Wiley and Sons, New York, p. 24 [Google Scholar]
  • [48]. Purolite, U. S. A., 1999, “Product Data Sheet—Purolite C104 Weak Acid Cation Exchange Resin,” Bala Cynwyd, PA [Google Scholar]
  • [49]. Saha, B. and Streat, M., 2005, “Adsorption of Trace Heavy Metals: Application of Surface Complexation Theory to a Macroporous Polymer and a Weakly Acidic Ion-Exchange Resin,” Ind. Eng. Chem. Res, 44, pp. 8671–868110.1021/ie048848+ [Google Scholar]
  • [50]. Ponce, R., 2008, “A Two-Scale Model of Electro-Chemo-Mechanical Coupling in Expansive Polymers Sensitive to pH and Salinity,”. Ph.D. thesis, Pontifícia Universidade Católica do Rio de Janeiro, Rio de Janeiro, Brazil. [Google Scholar]
  • [51]. Soldatov, V. S., Sosinovich, Z. I., Korshunova, T. A., and Mironova, T. V., 2004, “Acid-Base Properties of Ion-Exchangers. I. Optimising of Potentiometric Titration of Ion Exchangers Exemplified by Carboxylic Acid Resins,” React. Funct. Polym., 58, pp. 3–1210.1016/j.reactfunctpolym.2003.11.003 [Google Scholar]
  • [52]. Helfferich, F., 1962, Ion Exchange, Mc Graw-Hill, New York [Google Scholar]
  • [53]. Gans, P., 1992, Data Fitting in the Chemical Sciences, Wiley, Chichester, UK [Google Scholar]
  • [54]. Gans, P., Sabatini, A., and Vacca, A., 1996, “Investigation of Equilibria in Solution. Determination of Equilibria Constants With the HYPERQUAD Suite of Programs,” Talanta, 43(10), pp. 1739–175310.1016/0039-9140(96)01958-3 [DOI] [PubMed] [Google Scholar]
  • [55]. Gans, P., Sabatini, A., and Vacca, A., 2000, “Hyperquad Computer-Program Suite,” Abstr. Pap.—Am. Chem. Soc., 219, pp. U763–U763 [Google Scholar]
  • [56]. Horst, J., Holl, W. H., and Eberle, S. H., 1990, “Application of the Surface Complex-Formation Model to Exchange Equilibria on Ion-Exchange Resins. 1. Weak-Acid Resins,” React. Polym., 13, pp. 209–23110.1016/0923-1137(90)90092-I [Google Scholar]
  • [57]. Hasnat, A. and Juvekar, V. A., 1996, “Ion-Exchange Kinetics—Heterogeneous Resin-Phase Model,” AIChE J., 42, pp. 161–17510.1002/aic.690420114 [Google Scholar]
  • [58]. Tiihonen, J., Markkanen, I., Laatikanen, M., and Paatero, E., 2001, “Elasticity of Ion-Exchange Resin Beads in Solvent Mixtures,” J. Appl. Polym. Sci., 82, pp. 1256–126410.1002/app.1959 [Google Scholar]

Articles from Journal of Applied Mechanics are provided here courtesy of American Society of Mechanical Engineers

RESOURCES