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. 2020 Dec 7;34:106618. doi: 10.1016/j.dib.2020.106618

Cone penetration test dataset Premstaller Geotechnik

Simon Oberhollenzer a,, Michael Premstaller b, Roman Marte a, Franz Tschuchnigg a, Georg H Erharter c, Thomas Marcher c
PMCID: PMC7744689  PMID: 33354601

Abstract

The dataset contains 1339 cone penetration tests (CPT, CPTu, SCPT, SCPTu) executed within Austria and Germany by the company Premstaller Geotechnik ZT GmbH. As a first processing step, core drillings, located within a maximum distance of approximately 50 m to the insitu tests, were assigned to these cone penetration tests, which allow an interpretation of the insitu measurements based on its grain size distribution. In a second step, the software Geologismiki was used to calculate various normalized measures, which can e.g. be used as input parameters for soil behaviour type charts. The present data can be utilized by researches for example to develop new approaches related to soil classification based on cone penetration test. Furthermore, it provides a framework for combining insitu measurements (qc, fs, Rf, u2, Vs), normalized measures (i.e. Qt, Bq, U2) and soil classifications.

Keywords: Geotechnical engineering, Insitu test, Cone penetration test, Soil classification, Soil behaviour type chart, Machine learning, Big data

Specifications Table

Subject Geotechnical Engineering and Engineering Geology
Specific subject area Soil classification, cone penetration test
Type of data Table
Chart
csv (supplementary data)
How data were acquired The cone penetration tests (CPT, CPTu, SCPT, SCPTu) were executed by Premstaller Geotechnik ZT GmbH. Further processing of the insitu measurements was performed using the software Geologismiki [1].
Assignment of soil classification (i.e. core logs mapped by geotechnical engineers next to cone penetration test) to data was done manually.
Data format Raw
Analyzed
Parameters for data collection The insitu tests and core drillings within the dataset were anonymized and can therefore not be related to single projects.
Description of data collection The execution of insitu tests complies the following standards:
  • ISSMGE: IRTP 1999/2001 [2]

  • ASTM D:5778-95, 1996 [3]

  • EN ISO 22476-1 [4]

The soil classifications (of core drillings) were homogenized according to EN ISO 14688-1 [5].
Data source location Country: Austria / Germany
States: Burgenland, Carinthia, Lower Austria, Upper Austria, Salzburg, Styria, Tirol, Vorarlberg, Vienna / Bavaria
The single insitu tests are further assigned to basins and valleys within the supplementary data (see column: basin_valley).
Data accessibility Repository name: Database_CPT_PremstallerGeotechnik
Direct URL to data: https://www.tugraz.at/en/institutes/ibg/research/computational-geotechnics-group/database/

Value of the Data

  • The dataset includes 1339 CPT, CPTu, SCPT and SCPTu executed in a wide range of grain size distributions within Austria and Germany. All cone penetration tests have been performed by Premstaller Geotechnik ZT GmbH. Furthermore, the soil classification of core drillings was assigned to 490 insitu tests, which allow an interpretation of the insitu measuments based on the grain size distribution.

  • The data can be used by researches to develop e.g. new approaches related to soil classification or the identification of soil layers based on CPT results.

  • The data provide a framework for combining insitu measurements (qc, fs, Rf, u2, Vs), normalized measures (i.e. Qt, Bq, U2) and soil classifications (of core drillings) to achieve an improved characterization of soils.

  • The dataset addresses the problem that there is a lack of publicly available datasets that can be used for benchmark tests in geotechnics (e.g. for machine learning applications). This dataset should serve especially as basis of supervised machine learning techniques for CPT data processing.

1. Data Description

1.1. Raw data

Cone penetration tests (CPT) allow continuous, rapid and cost-effective measurements over depth. Therefore, they are becoming increasingly popular in geotechnical engineering. During the test procedure, a probe is pushed under constant rate (2 cm/s) in the subsurface and measures the tip resistance qc as well as the sleeve friction fs. In addition, the generated porewater pressure can be measured at position u2 (above the cone) when performing CPTu tests. The shear wave velocity Vs of soils can be determined in intervals of 50 cm by means of seismic CPT / CPTu (denoted as SCPT, SCPTu). The different types of cone penetration tests are summarized in Table 1.

Table 1.

Overview of insitu measurements and number of tests for different test types.

Test type Measurements Total number of tests Number of tests with soil classification
CPT qc, fs 931 336
CPTu qc, fs, u2 312 106
SCPT qc, fs, Vs 46 23
SCPTu qc, fs, u2, Vs 50 25

The dataset presents a collection of 1339 insitu tests executed by Premstaller Geotechnik in basins and valleys of various Alpine regions and forelands (Austria, Germany). Those basins were formed during the last glacial period, remained as lakes after the melting of ice masses and are often filled by fine-grained sediments over thousands of years [6]. Consequently, its properties can strongly vary within a basin and are in many cases additionally overlaid by coarse-grained top layers. On the other hand, today's alpine valley fills are often characterized by a succession of (from bottom to top): deposits from the glaciation (e.g. basal till); deposits from the period of glacial retreat (e.g. fine-grained lake deposits) and a cover of recent (Holocene) coarse grained fluviatile deposits. Therefore, valley fillings are usually characterised by a coarser grain size distribution and more heterogeneous subsoil properties than basins.

The respective basins or valleys - within the insitu tests are located - are named within the supplementary data. Additional soil classifications based on core drillings, located next to the insitu tests, are included and assigned to these tests (see Section 1.3). The total number of insitu tests are listed in Table 1 for the different test types. Furthermore, the number of insitu tests with an additional soil classification (based on core drillings) are listed in column four.

1.2. Normalized parameters

In practical engineering, normalized parameters - calculated based on the insitu measurements - are often used for soil characterization by means of soil behaviour type charts. Nowadays, especially the SBT charts according to Robertson [7][8][9][10] (see Fig. 2) are widely used in practical engineering. Different SBT-charts found in literature are summarized in Table 5.For detailed information, reference should be made to Section 2.2.

Fig. 2.

Fig 2

Soil behaviour type charts according to Robertson [8,9.10]

Table 5.

Overview of developed soil behaviour type charts.

Publication Input variables Permitted insitu tests
Begemann (1965) [12] qc, fs CPT, CPTu, SCPT, SCPTu
Schmertmann (1978) [13] qc, Rf CPT, CPTu, SCPT, SCPTu
Douglas & Olson (1981) [14] qc, Rf CPT, CPTu, SCPT, SCPTu
Eslami & Fellenius (1997) [15] qE = qt – u2, fs CPTu, SCPTu
Robertson et al. (1986) [7] qt, Rf, Bq CPTu, SCPTu
Robertson (1991) [8] Qt, Fr, Bq CPTu, SCPTu
Jefferies & Davies (1991) [16] Q*(1-Bq), Fr CPTu, SCPTu
Schneider et al. (2008) [17] Qt, U2, Bq CPTu, SCPTu
Robertson (2009) [9] Qtn, Fr CPTu, SCPTu
Schneider et al. (2012) [18] Qt, Fr, U2 CPTu, SCPTu
Robertson (2016) [10] Qtn, Fr CPTu, SCPTu

All normalized parameters used within the dataset are described in Table 2. These normalized parameters can also be utilized to determine stiffness, strength and other properties of soils based on correlations [11].

Table 2.

Normalized parameters - Abbreviation, name, equation and application.

Abbreviation Name Equation Application
qt (MPa) Cone resistance corrected for water effects qt=qc+u2·(1a)a = cone area ratio Various soil behaviour type charts; determination of normalized parameters (i.e. Qt, Fr)
Rf (%) Friction ratio Rf=fs/qc Various soil behaviour type charts
Qt (-) Normalized cone resistance Qt=[(qtσv)/σv] Various soil behaviour type charts
σv = insitu total vertical stress
σv = insitu effective vertical stress
Qtn (-) Updated normalized cone resistance Qtn=[(qtσv)/pa]·(pa/σv)n Various soil behaviour type charts
pa = atmospheric pressure in the same units as qt and σv
Fr (%) Normalized friction ratio Fr=[fs/(qtσv)]100% Various soil behaviour type charts
Bq (-) Pore pressure parameter Bq=(u2u0)/(qtσv)u0 = insitu pore pressure Various soil behaviour type charts
U2 (-) Normalized excess pore pressure U2=(u2u0)/σv Various soil behaviour type charts
SBT (-) Soil behaviour type (non-normalized) IC-SBT < 1.31: Sand Soil behaviour type according to Robertson (2010), based on IC-SBT
IC-SBT = 1.31 – 2.05: Sand & silty sand
IC-SBT = 2.05 – 2.60: Silty sand & sandy silt
IC-SBT = 2.60 – 2.95: Clay & silty clay
IC-SBT = 2.95 – 3.60: Clay
IC-SBT > 3.60: Organic soil
SBTn (-) Soil behaviour type (normalized) Ic < 1.31: Sand Soil behaviour type according to Robertson (1991), based on IC
Ic = 1.31 – 2.05: Sand & silty sand
Ic = 2.05 – 2.60: Silty sand & sandy silt
Ic = 2.60 – 2.95: Clay & silty clay
Ic = 2.95 – 3.60: Clay
Ic > 3.60: Organic soil
Mod. SBTn (-) Modified soil behaviour type (normalized) IB < 22: Clay-like Soil behaviour type according to Robertson (2016), based on IB
IB = 22 – 32: Transitional
IB > 32: Sand-like
CD=(Qtn11)·(1+0.06·Fr)17
CD > 70: Dilative
CD < 70: Contractive
n Stress exponent n=0.381·Ic+0.05·(σv/p1)0.15 Calculation of updated normalized cone resistance Qtn (n ≤1.0)
Ic (-) Soil behaviour type index IC=[(3.47logQt)2+(logFr+1.22)2]0.5 Approximation of SBTn boundaries according to Robertson (1991)
Ic-SBT (-) Soil behaviour type index ICSBT=[(3.47logQtn)2+(logFr+1.22)2]0.5 Approximation of SBT boundaries according to Robertson (2010)
IB Modified soil behaviour type index IB=100·(Qtn+10)/(Qtn·Fr+70) Approximation of SBTn boundaries according to Robertson (2016)

1.3. Core drillings

Core drillings executed within a maximum distance of approximately 50 m to the insitu tests were interpreted according to EN ISO 14688-1. The soil types of a core drilling are also related to the different measurements of the cone penetration test, as shown in Fig. 1 (see also Section 2.4).

Fig. 1.

Fig 1

Assignment of core drillings to CPTu measurements: Example.

To enable a holistic interpretation including the grain size distribution, Oberhollenzer defined 7 groups additionally. As shown in Table 3, each group includes a defined range of grain sizes. Those soils, which could not be directly assigned to a specific group were ignored and replaced with 0 within the dataset. An overview of the single soil classifications is given in Table 3.

Table 3.

Classification according to Oberhollenzer based on the grain size distribution of core drillings.

Group 1: Gr,sa,si’ → Gr,co Group 2: Or,cl →Or,sa’ Group 3: Or,sa → Or/Sa Group 4: Sa,gr,si → Gr,sa,si Group 5: Sa,si → Sa,gr,si’ Group 6: Si,sa,cl’ → Si,sa,gr Group 7: Cl/Si,sa’ → Si,cl,sa Ignored classifications
Gr,Sa Si,or Sa,Or Gr,Si FSa,msa,fgr Sa,Si,gr- Cl,Si,fsa Si,cl,gr,co
Gr,Sa,si- Si,or- Sa,or Gr,sa+,si CSa Si,gr,sa Cl,si,gr- FGr,MGr,MSa,CSa,fsa,si-
Gr,sa Or Gr,sa,si,or Gr,sa,si FSa Si,gr Si,Cl,FSa K,sa
Gr,sa+ Or,Si FSa,si,or Gr,sa,si+ FSa, msa, csa Si,gr-,fsa Si,Cl,gr Mgr,fsa,cl,gr
Gr,sa+,si- Or,si Si,fsa,or FGr,MGr,cgr-,si+ FSa,MSa Si,gr,sa,co Cl,si,fsa Predrill
Gr,sa,si- Or,si- FSa,Si,or FGr,MGr,si FSa,msa Si,gr,sa,cl Cl,si,sa MGr,cgr,co
Sa,Gr, co- Or,si,cl Si,cl,sa,or MGr,CGr,si FSa,cl- Si,sa+,gr+ Cl,Sa MGr,cgr,fgr
FGr Or,Si,sa- Or,FSa FGr,csa MSa,FSa Si,sa,gr Cl,fgr- FGr,MGr,Sa,cgr,si,co
FGr,CGr,sa+ Si,cl,or Gr,si,sa+ MSa,FSa,si– Si,sa,gr- Cl,fsa M
FGr,MGr Or,sa- Gr,si,sa+,co Sa Si,FGr,sa+,cl- Cl,gr- A,fgr,mgr,sa
FGr,MGr,sa+ CGr,si FSa,msa,csa,si- Si,gr+,sa-,cl Cl,mgr Tm
FGr,sa+ CGr,co,si++,sa++ Sa,fgr,si Si,fsa,fgr,msa,csa Cl,si-,fsa Gr,sa,co,si
CGr,FGr,CSa,FSa Gr,Cl,Sa Sa,fgr- Si,sa,cgr++ Cl,si+,sa CGr,CSa
MGr Gr,sa,co-,si Sa,fsa,si Si,cl,sa,gr- Cl,fsa- Gr,sa,co,bo
MGr,CSa Sa,Gr,Co,si Sa,si-,fgr- Si,gr+ Si Gr,co,sa,bo-
MGr,sa Gr,si,sa FGr,Sa,si FSa,Si,MSa Si,grcl FGr,FSa,si
MGr,sa+ Gr,si,sa-,co- FSa,fgr- FSa,CSi Si,cl Si,Cl,Sa,Gr,co,bo
MGr,sa- Gr,si,co- FSa,CSa FSa,MSa,msi+,cl Cl,Si FSa,gr,si
Sa,FGr Gr,si,sa,co- FSa,CSa,si Si,Gr,sa Cl,sa-,si A,sa,si+
Si,Sa,Gr Gr,si,sa- FSa,MSa,si+,csa Si,Sa Cl,si FSa,MSa,CSa
FSa,MGr,gr Sa,Co,Gr,si FSa,sa,si-,fgr- Si,FSa Si,Cl A,gr,sa+,si
Gr,Co Gr,Sa,Si CSa,fgr,si– Si,FSa,MSa Si,co Tst,si
CGr,FGr,CSa,FSa,si FGr,Sa CSa,si– Si,fsa Cl Mgr,gr,sa
A,gr,sa MGr,CGr,si+,sa MSa,csa+ Si,fsa,fsa+ Si,cl- Si,Cl,Sa,Gr,co
FGr,CSa,si,gr Sa,FGr,MGr Sa,fgr,mgr,cgr- Si,sa Si,cl A
A,sa,si Sa,gr FGr,si Si,sa,cl- Si,cl+ Gst
Gr,co,sa- Sa,gr,co Sa,si,gr- Si,sa- A,Gr
Gr,sa,co- Sa,fgr,mgr Sa,si,cl- FSa,Si MGr,cgr,fgr,co
A,sa,mgr,fgr,cgr Sa,gr,si CSa,MSa FSa,Si,cl- CSa,Gr,Co
Co,Gr,A Sa,gr,si- CSa,si- Si,fsa- A,Gr,Sa,co,si-
CGr,MGr FSa,FGr CSa, fsa Si,fsa-,fsa A,Gr,sa,si-
A,msa,mgr,cgr,co FGr,FSa FSa,csa Si,fsa+ A,Gr,sa,si
Gr,sa,co FGr,MGr,Sa Sa,si Si,fsa+,sa Br,Si,fsa
MGr,CGr,sa CSa,fgr+ Sa,si+,gr- Si,fsa,gr- A,Gr,co,sa,si
A,gr,sa,si- Gr,csa+,msa- Sa,si- Si,msa,csa- Gr
A,Gr,sa FGr,csa,si FSa,csi Si,sa,gr– Gr,si
CGr,co CSa,gr,co,sa,si FSa,MSa,si+ Si,sa+,gr- Sa,Si,gr
A,Gr,sa+,si- MGr,sa+,si FSa,MSa,si- FSa,cl,si Sa,si,fgr
A,gr,sa,si FSa,gr FSa,MSa,si-,si Si,CSa Co,sa,si
A,fsa,csa,fgr FSa,MSa,si, fgr+, mgr+ FSa,sa,si- Si,sa-,gr– Z
Gr,co,fsa,si CSa,FSa,gr FSa,si FSa,si,cl CSa,fgr,si
A,sa MSa,CSa,si-,mgr-,cgr- FSa,si+ CSi,fsa,cl- MGr,FGr,sa,si-
MGr,CGr,si,si+ MSa,mgr,cgr FSa,si+,cl- Si,fsa-,cl A,sa,si-
FSa,cgr,csi MSa,FSa,fgr++,csa+ FSa,si- Si,fsa-,cl- Gr,co
Bo Sa,si,gr FSa,si-,msa- Si,cl,fgr- Grn
A,Gr,fsa+,csa+ MGr,si FSa,si-,si Si,cl,fsa Kst
CGr,sa CSa,FSa,si,gr,cl MSa, si Si,cl,fsa- Sa,Si
MGr,cgr CSa,si FSa,MSa,si Si,cl,sa- Sa,Si,fgr
A,sa,gr,co FSa,MSa,si-,gr FSa,sa,si Si,fsa,cl Tst
Gr,co,sa Sa,fgr,si- FSa,sa-,si Si,FSa,cl Si,cl,gr
MGr,cgr,sa Sa,fsa,si-,fgr-,mgr- FSa,cl Si,fsa,cl- Co,Bo
A,Gr,Sa FSa,msa,fgr- FSa,si,msa Si,FSa,MSa,Cl FGr,mgr,sa
FGr,CGr,fsa MSa,CSa,fgr-,si- Si,cl,sa FSa,si,co-
FGr,MGr,csa Sa,gr- Si,Sa,gr,cl MGr,fgr,cgr
FGr,MGr,sa Si,fsa,csa,fgr-,co- Si,cl+,sa Cl,Gr
FGr,MGr,sa+,si- Gr,fsa,si Si,gr,cl- Phy
MGr,FGr,sa+ FSa,si,gr,co Si,cl+,fsa- Sa,mgr-
MGr,FGr,si- FSa,si,gr– Si,FSa,cl– Cl,gr,si
MGr,cgr-,fgr+,sa GSa,MSa,si,gr- Gr,si,cl
Gr,Sa,si Sa,gr-,si-
Gr,sa+,co Sa,gr+,si-
Gr,sa,cl CSa,fgr,fsa
Gr,sa,cl- FSa,si,gr,cl-
Sa,gr+,co Sa,fgr
MGr,CGr
MGr,CGr,cl+
Si,Sa,gr
Co,sa
Gr,co,si-
Co
Gr,sa,si-,co
CGr
MGr,co
A,Gr,sa,si-,co
Gr,co+,sa,si-
Gr,sa,co,si-
MGr,csa,fgr
Gr,Sa,co
Gr,co,si-,sa-
Sa,Gr
Gr,sa+,co,si-
Sa,Gr,si-
Gr,Sa,co-
Gr,si-,sa-
CGr,MGr,co

1.4. Structure of dataset (supplementary data)

The supplementary data (csv file) contains the insitu measurements as well as normalized parameters for all insitu tests. For each test a characteristic ID-number was defined and the parameters are listed in 1 cm intervals over depth, except for the shear wave velocity which was determined approximately every 50 cm. Parameters which were not measured insitu (i.e. the u2 measurement when performing a CPT), which are smaller -100 or larger 10,000 are left blank. An extract of the data is given in Table 4, where exemplary parameters of CPT, CPTu, SCPT and SCPTu are shown. Besides ID number (column 1), test type (column 2), location (column 3), depth (column 4), insitu measurements (columns 5–8) and normalized parameters (columns 9 - 26), a soil classification (columns 27–28) based on the close by core drillings is given. As explained in section 1.1 and 1.3 core drillings were assigned only to insitu tests executed next to the performed drilling. The soil classifications were homogenized according to EN ISO 14688-1 (column 27) and grouped according to their grain size distribution by Oberhollenzer (column 28).

Table 4.

Exemplary extract from the dataset (see supplementary data).

Column name CPT example CPTu example SCPT example SCPTu example
1 ID 2 1164 1210 1286
2 test_type CPT CPTu SCPT SCPTu
3 basin_valley Zell basin Salzburg basin Salzburg basin Salzburg basin
4 Depth (m) 13.9 15.26 20 26.5
5 qc (MPa) 1.65 7.45 0.73 1.09
6 fs (kPa) 29 100.8 10.9 14.6
7 u2 (kPa) 158.6 1032.2
8 Vs (m/s) 242 249
9 qt (MPa) 12.11 7.48 0.73 1.25
10 Rf (%) 0.24 1.35 1.49 1.17
11 γunsat / γsat (kN/m³) 19 19 19 19
12 σv (kPa) 264.1 289.94 380 503.5
13 u0 (kPa) 136.36 120.27 196.2 259.96
14 σ'v (kPa) 127.74 169.67 183.8 243.54
15 Qt (-) 92.69 42.36 1.92 3.06
16 Qtn (-) 103.77 47.11 1.92 3.06
17 Fr (%) 0.24 1.4 3.09 1.96
18 Bq (-) 0.01 1.04
19 U2 (-) 0.23 3.17
20 SBT (-) 6 5 3 4
21 SBTn (-) 6 5 3 3
22 Mod. SBTn (-) 7 7 2 1
23 n (-) 0.51 0.79 1 1
24 Ic (-) 1.57 2.26 3.62 3.35
25 Ic SBT (-) 1.51 2.09 2.96 2.71
26 Ib (-) 119.6 41.97 15.69 17.18
27 EN_ISO_14688_classes Si,cl,sa- Si,cl Si,cl
28 Oberhollenzer_classes 6 7 7

2. Experimental Design, Materials and Methods

2.1. General

In practical engineering, soils are often characterized based on their grain size distribution. The latter can be determined using laboratory tests (i.e. hydrometer and sieve analyses) or based on subjective experience. On the other hand, the insitu behaviour of soils is strongly related to the stress history, density, degree of consolidation as well as other physical and chemical processes [10].

Therefore, alternative classification procedures based on CPT or CPTu measurements have been developed by various authors. Based on so-called “soil behaviour type charts” the soil can be characterized using insitu measurements (i.e. qc, fs, u2) or normalized parameters (i.e. Qt, Bq, U2). For this procedure no soil sampling nor time-consuming laboratory tests are needed. However, information regarding its grain size cannot be evaluated directly and has to be estimated based on experience. The dataset enables a direct comparison of cone penetration measurements as well as normalized parameters with soil classifications according to EN ISO 14688 (based on core drillings).

2.2. In-situ measurements and normalized parameters

The present dataset contains insitu tests executed according to the current standards (ISSMGE: IRTP 1999/2001 [2], ASTM D:5778-95, 1996 [3]) by Premstaller Geotechnik ZT GmbH. For all tests, CPT-trucks or CPT-rigs were used to push standard probes (cross-section area of 15 cm²) under constant rate of approximately 2 cm/s into the soil. In a second step all insitu measurements (GEF-format) were imported to the software “Geologismiki” [1] for post-processing and calculating the normalized parameters (see Section 1.2). Therefore, several estimations were required:

  • The net area ratio a depends on the geometry of the cone and is determined from calibration measurements at the laboratory. The value varies between 0.75 and 0.85 for the tests executed.

  • A hydrostatic insitu pore water pressure distribution was assumed for all tests. The groundwater table was estimated based on u2 measurements or neighbouring core drillings.

  • The insitu total and effective stresses were calculated based on a wet unit weight, saturated unit weight and buoyant unit weight equal to 19 kN/m³, 19 kN/m3 and 9 kN/m3 respectively. These values were defined based on personal experience.

  • All normalized parameters (calculated based on CPTu and SCPTu) consider pore water pressure measurements at position u2. For CPT and SCPT, where no pore water pressure was determined u2 column was left blank.

  • Normalized tip resistance Qtn > 1000 cannot be calculated by using the software package “Geologismiki”. Therefore, those values are set equal to 1001 within the dataset.

2.3. Soil behaviour type charts

Results of cone penetration tests executed at standard rate (2 cm/s) can be used for interpretations based on soil behaviour type (SBT) charts, which enable an interpretation based on insitu measurements (row data) or normalized parameters. Nowadays, especially charts developed by Robertson [8,9,10] have a wide application in practical engineering. These SBT charts are based on normalized parameters (Qt, Qtn, Fr, Bq – see Fig. 2). Consequently, u2 measurements are required for their application and CPT or SCPT could lead to wrong, misleading classifications. Defined boundaries within the charts enable an efficient characterization of soils for different depth levels and a wide range of material behaviour. But it has to be reminded, that those classification systems do not consider the grain sized distribution. Table 5 summarizes the input variables as well as the required types of cone penetration test for different SBT-charts found in the literature.

2.4. Core drillings

Core drillings executed within a maximum distance of approximately 50 m to the insitu tests were interpreted according to EN ISO 14688-1. In the next step the different soil layers within one core drilling were assigned manually to one or more insitu tests (depending on the distance). Thereby, insitu tests and core drillings with the smallest distance were combined. Furthermore, it was ensured that the lithologies (within the core drillings) agree with the general trend of the respective insitu measurements (i.e. small grain size leads to small qc and fs). To improve the agreement between core drillings and insitu measurements the elevation of layer changes was sometimes adjusted slightly (as shown in Fig. 1).

The classification of the different core drillings was carried out by various engineers and / or geologists. Consequently, the (subjective) assessment can differ between different involved parties. It must be kept in mind that especially for fine grained soils (i.e. silts) the soil classification becomes difficult without additional laboratory tests.

It should be noted that the chosen methodology according to Oberhollenzer (see Table 3 & Table 4 – column 28) for the categorization of soils is only one of many possibilities to investigate the insitu measurements in combination with its grain size distribution.

Ethics Statement

The work does not involve the use of human subjects or animal experiments

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships which have, or could be perceived to have, influenced the work reported in this article.

Acknowledgments

The authors acknowledge the financial and logistical support provided by the Austrian Research Promotion Agency and the Federal Chamber of Architects and Chartered Engineering Consultants.

Footnotes

Supplementary material associated with this article can be found in the online version at doi:10.1016/j.dib.2020.106618.

Appendix. Supplementary materials

mmc1.zip (79.8MB, zip)

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