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Ricceri, G; Simonini, Paolo; Cola, Simonetta

doi:10.1023/a:1015043911091

Cited by 22 publications

(2 citation statements)

References 17 publications

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“…In-situ tests offer an alternative method to determine soil parameters. The cone penetration test (CPT) is one of the most popular in-situ tests as it is quick and can be used in soil profiling and determining soil parameters (Lunne et al 1997;Ricceri et al 2002;Anagnostopoulos et al 2003;Schnaid 2009). Furthermore, compared to laboratory tests, CPT has other advantages, including lower cost and minimal disturbance of the soil.…”

Section: An Automated System For Determining Constitutive Model Param...mentioning

confidence: 99%

A Case Study on Advanced CPT Data Interpretation: From Stratification to Soil Parameters

Marzouk,

Granitzer,

Rauter

et al. 2024

Geotech Geol Eng

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The cone penetration test (CPT) is considered as one of the most reliable in-situ tests and has found numerous applications in the geotechnical engineering field. Traditional CPT interpretation includes, but are not limited to the identification of the soil stratification and the determination of soil parameters. This paper presents a case study concerning a test site located in Salzburg, Austria, in which we focus on the interpretation of CPTs from different perspectives. The manuscript is divided into three main sections dealing with three different aspects of CPT interpretation, namely stratification, ground variability and soil parameters. The first strategy introduces a machine learning based stratification identification strategy to detect soil layer boundaries from CPT measurements. A comparison with reference solutions demonstrates relative merits of this approach to classical filter algorithms based on empirical CPT classifications. The second strategy introduces an intuitive approach to evaluate the ground variability. This is achieved by calculating the level of fluctuation on the basis of CPT measurements and could be used as a data-driven decision-making tool for the improved design of CPT investigation layouts. The third strategy is embedded in an ongoing research project that aims to determine constitutive model parameters from in-situ tests using a graph-based methodology. In the present work, the developed automated parameter determination framework is applied to evaluate the soil parameters of one selected soil layer identified from the CPT interpretations. Potential lines of research in the context of CPT interpretation are explored throughout this work and may serve as valuable reference in future research.

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Section: An Automated System For Determining Constitutive Model Param...mentioning

confidence: 99%

A Case Study on Advanced CPT Data Interpretation: From Stratification to Soil Parameters

Marzouk,

Granitzer,

Rauter

et al. 2024

Geotech Geol Eng

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show abstract

“…Initially, a generally applicable method was sought to classify soils based on the CPTu measurements, which resulted into sev eral classification charts (Robertson 1990, Schneider et al 2012, Eslami et al 2017. Despite the break throughs, the observed inaccuracies of the charts for different sites have left the question open, and researchers are still proposing soil-type-or sitespecific classification charts (Ricceri et al 2002, Gylland et al 2017). However, using only the classi fication charts could not provide accurate stratifica tion profiles while they represented largely high number of strata especially in highly variable soils.…”

Section: Introductionmentioning

confidence: 99%

Application of two novel CPTu-based stratification models

Farhadi¹,

Länsivaara²,

L’Heureux³

et al. 2022

Cone Penetration Testing 2022

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Two novel CPTu-based stratification models are applied to the measurements at four Norwe gian sites, including a broad range of soil behavior types (SBTs). The two models, called RIGTOSS and SIG TOSS, are developed based on the recently proposed integrated Game Theory-optimization subground stratification (-IGTOSS) model. The RIGTOSS model includes two submodels classifying the SBTs based on either the F r -Q t or B q -Q t charts by Robertson (1990); and similarly, the SIGTOSS model includes two submo dels classifying the SBTs based on either the F r -Q t or (Δu 2 /σ'v 0 ) Q t charts by Schneider et al. (2012). The result ing stratification profiles of the four submodels were compared with the ones provided by experts, derived from extensive field and experimental testing. Similarity was observed and the results are promising. Differences at this stage can be attributed to incompatibility of the classification charts with the Norwegian soils and more spe cifically soil heterogeneities at the Øysand test site.

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Site Investigation in Relation to Analysis and Design of Foundations

2016

Shallow Foundations

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Untitled

Cited by 22 publications

References 17 publications

A Case Study on Advanced CPT Data Interpretation: From Stratification to Soil Parameters

A Case Study on Advanced CPT Data Interpretation: From Stratification to Soil Parameters

Application of two novel CPTu-based stratification models

Site Investigation in Relation to Analysis and Design of Foundations

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