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Correlation between Cone Penetration Test parameters, soil type, and soil liquidity index using long short-term memory neural network

Jocz Mateusz, Lefik Marek

Studia Geotechnica et Mechanica

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2023

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Vol. 45, nr s1

405--415

EN

Accuracy and quality of recognizing soil properties are crucial for optimal building design and for ensuring safety in the construction and exploitation stages. This article proposes use of long short-term memory (LSTM) neural network to establish a correlation between Cone Penetration Test (CPTU) results, the soil type, and the soil liquidity index IL. LSTM artificial neural network belongs to the class of networks requiring deep machine learning and is qualitatively different from artificial neural networks of the multilayer perceptron type, which have long been widely used to interpret the results of geotechnical experiments. The article outlines the methodology of CPTU testing and laboratory testing of the liquidity index, as well as construction and preparation of data for the network. The proposed network achieved good results when considering a database consisting of the parameters of eight CPTU soundings, soil stratifications, and laboratory test results.

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

Rainer Jakub, Szabowicz Hubert

Studia Geotechnica et Mechanica

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2020

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Vol. 42, nr 4

355-365

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.

3

Charakterystyka zagęszczenia piasków eolicznych i bezpośredniego podłoża wydm na obszarze Międzyrzecza Warciańsko-Noteckiego (MWN)

Radaszewski Robert, Wierzbicki Jędrzej

Geologos

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2007

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Vol. 11

253--266

PL

W obszarze zainteresowań geologii inżynierskiej stopień zagęszczenia gruntu (ID) znalazł szerokie zastosowanie jako jeden z ważniejszych parametrów fizycznych gruntów niespoistych. Zupełnie inaczej przedstawia się znaczenie zagęszczenia osadów w naukach ogólno-geologicznych - np. w sedymentologii, gdzie ta cecha teksturalna jest często pomijana. W artykule wskazano, wstępnie zaobserwowane, możliwości wykorzystania zagęszczenia osadów przy interpretacjach geologicznych: genezy osadu, zmian czynników zewnętrznych panujących w czasie i po jego depozycji. Ponadto scharakteryzowano zmienność stopnia zagęszczenia w obszarze pola wydmowego na międzyrzeczu Warty i Noteci określonego metodą sondowań statycznych CPT. Jednocześnie sygnalizuje się w pracy konieczność dalszego udoskonalania metod interpretacyjnych tych sondowań.

EN

Density ratio is one of the fundamental parameters describing non- cohesive soils which is used in engineering geology. In another branches of geology, as sedymentology, this textural feature is often omitted. In the paper the possibility of use the density ratio of sand, for the purpose of interpretation of genesis and influence of post sedimentation processes on aeolian and fluvial sands has been discussed. Investigations were focused on the area of the Warta-Noteć interfluve area and were carried out, among others, using in-situ tests: Cone Penetration Test (CPT) and Dynamic Penetration Light (DPL) tests.