<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The issue of the stratification of the underground subsoil is one of the principal geotechnical challenges. The development of the Cone Penetration Tests (CPTu) has resulted in the possibility to record parameters in a quasi-continuous way, which provides a very detailed description of the soil response. Such accurate measurements may therefore be treated as a signal or image and be analysed as such. This paper presents the application of high-pass spatial filters to perform soil stratification on the basis of the static penetration test. The presented algorithm has been tested on the test data set provided by the Organizers of TC304 Student Contest on Spatial Data Analysis (September 22, 2019, Hannover, Germany). It provides reasonable results at negligible computational cost and is applicable to most soils, especially if the contrast between the parameters of the adjacent layers is significant.</p></abstract>

The issue of the stratification of the underground subsoil is one of the principal geotechnical challenges. The development of the Cone Penetration Tests (CPTu) has resulted in the possibility to record parameters in a quasi-continuous way, which provides a very detailed description of the soil response. Such accurate measurements may therefore be treated as a signal or image and be analysed as such. This paper presents the application of high-pass spatial filters to perform soil stratification on the basis of the static penetration test. The presented algorithm has been tested on the test data set provided by the Organizers of TC304 Student Contest on Spatial Data Analysis (September 22, 2019, Hannover, Germany). It provides reasonable results at negligible computational cost and is applicable to most soils, especially if the contrast between the parameters of the adjacent layers is significant.

Analysis of underground stratification based on CPTu profiles using high-pass spatial filter

Wrocław University of Science and Technology

Studia Geotechnica et Mechanica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The issue of the stratification of the underground subsoil is one of the principal geotechnical challenges. The development of the Cone Penetration Tests...

SBT	Soil behaviour type
1	Sensitive, fine grained
2	Organic soils: peats
3	Clays: silty clay to clay
4	Silt mixtures: clayey silt to silty clay
5	Sand mixtures: silty sand to sandy silt
6	Sand: clean sand to silty sand
7	Gravelly sand to dense sand
8	Very stiff sand to clayey sand
9	Very stiff, fine grained

Classification	Soil behaviour type	Soil behaviour type index I_c
SBT2	Organic soils: peats	I_c > 3.60
SBT3	Clays: silty clay to clay	2.95 ≤ I_c < 3.60
SBT4	Silt mixtures: clayey silt to silty clay	2.60 ≤ I_c < 2.95
SBT5	Sand mixtures: silty sand to sandy silt	2.05 ≤ I_c < =2.60
SBT6	Sand: clean sand to silty sand	1.31 ≤ I_c < =2.05
SBT7	Gravelly sand to dense sand	I_c < 1.31

SBT	Soil Behaviour Type
1	Sensitive fine grained
2	Organic material
3	Clay
4	Silty clay to clay
5	Clayey silt to silty clay
6	Sandy silt to clayey silt
7	Silty sand to sandy silt
8	Sand to silty sand
9	Sand
10	Gravelly sand to sand
11	Very stiff fine grained
12	Sand to clayey sand

Analysis of underground stratification based on CPTu profiles using high-pass spatial filter

Article Category: Original Study

Data publikacji: 22 wrz 2020

Zakres stron: 355 - 365

Otrzymano: 28 lut 2020

Przyjęty: 03 sie 2020

DOI: https://doi.org/10.2478/sgem-2020-0002

Słowa kluczowe
Cone Penetration Test (CPTu), soil stratification, convolutional filter, high-pass spatial filter

© 2020 Jakub Rainer et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Numbers of subdivisions and corresponding Soil Behaviour Types[11]

SBT index classification proposed by Robertson and Wride[8]

Numbers of subdivisions and corresponding Soil Behaviour Types[7]

Analysis of underground stratification based on CPTu profiles using high-pass spatial filter

Article Category: Original Study

Data publikacji: 22 wrz 2020

Zakres stron: 355 - 365

Otrzymano: 28 lut 2020

Przyjęty: 03 sie 2020

DOI: https://doi.org/10.2478/sgem-2020-0002

Słowa kluczoweCone Penetration Test (CPTu), soil stratification, convolutional filter, high-pass spatial filter

© 2020 Jakub Rainer et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Figure 7

Figure 8

Figure 9

Figure 10

Figure 11

Numbers of subdivisions and corresponding Soil Behaviour Types[11]

SBT index classification proposed by Robertson and Wride[8]

Numbers of subdivisions and corresponding Soil Behaviour Types[7]

Słowa kluczowe
Cone Penetration Test (CPTu), soil stratification, convolutional filter, high-pass spatial filter