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

• Autorzy: Rainer Jakub , Szabowicz Hubert

Identyfikatory

DOI

10.2478/sgem-2020-0002

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

Cone Penetration Test; CPTu; soil stratification; convolutional filter; high-pass spatial filter

• Wydawca: De Gruyter
• Czasopismo: Studia Geotechnica et Mechanica
• Rocznik: 2020
• Tom: Vol. 42, nr 4
• Strony: 355--365
• Opis fizyczny: Bibliogr. 16 poz., rys., tab.

Twórcy

autor

Rainer Jakub

• Wrocław University of Science and Technology, Wrocław, Poland

autor

Szabowicz Hubert

• Wrocław University of Science and Technology, Wrocław, Poland

Bibliografia

• [1] Bagińska I., Kawa M., Janecki W.: Estimation of spatial variability of lignite mine dumping ground soil properties using CPTu results, Studia Geotechnica et Mechanica 38(1), pp. 3–13, 2016
• [2] Boulanger R.W., DeJong J.T.: Inverse filtering procedure to correct cone penetration data for thin-layer and transition effects, Cone penetration testing 2018: procedding of the 4th International Symposium on Cone Penetration Testing, pp. 25–44, 2018
• [3] Cristobal G., Schelkens P., Thienpont H.: Optical and Digital Image Processing: Fundamentals and Applications, Wiley- VCH Verlag GmbH&Co. KGaA, 2011
• [4] Facciorusso J., Uzzielli M., Stratigraphic profiling by cluster analysis and fuzzy soil classification, Proceedings of the 2nd International Conference on Geotechnical Site Characterization ISC-2, Porto, 2004
• [5] Kowalski P., Czyżak M., Smyk R.: Comparison of edge detection algorithms for electric wire recognition, ITM Web of Conferences 19, 01044, 2018
• [6] Lim Yi Xian, Numerical study of cone penetration test in clays using press-replace method, National University of Singapore, 2017
• [7] Lunne T., Robertson P.K., Powell J.J.M.: Cone penetration testing in geotechnical practice, Blackie Academic, EF SPON/ Routledge Publishing, 1997
• [8] Roberson P.K. Wride C.E. Evaluating cyclic liquefaction potential using the cone penetration test, Canadian Geotechnical Journal, pp. 442–459, 1998
• [9] Robertson P.K.: Cone penetration test (CPT) – based soil behaviour type (SBT) classification system- an update. Canadian Geotechnical Journal, pp. 1910–1927, 2016
• [10] Robertson P.K.: Interpretation of cone penetration test – a unified approach, Canadian Geotechnical Journal 46(11), pp. 1337–1355, 2009
• [11] Robertson P.K.: Soil classification using the cone penetration test, Canadian Geotechnical Journal 27(1), pp. 151–159, 1990
• [12] Rybak J., Stilger-Szydło E.: Importance and errors in the identification of the ground in the foundation of land transport infrastructure structures (in Polish), Nowoczesne Budownictwo Inżynieryjne 4, pp. 60–65, 2010
• [13] Van Baars, S.: 100 Years of Prandtl’s Wedge, Amsterdam: IOS Press, Incorporated, 2018
• [14] Vreugdenhil R., Davis R., Berrill J.: Interpretation of cone penetration results in multi-layered soils, International Journal for Numerical and Analytical Methods in Geomechanics, vol. 18, 585–599, 1994
• [15] Wang H, Wang X., Wellmann F, Liang R., A Bayesian unsupervised learning approach for identifying soil stratification using cone penetration data. Canadian Geotechnical Journal, 2018
• [16] Wang Y., Huang K., Cao Z., Probabilistic identification of underground soil stratification using cone penetrations test, Canadian Geotechnical Journal, pp. 766–776, 2013

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).