CPT-Based Geotechnical Design Manual, Volume 1: CPT Interpretation—Estimation of Soil Properties

Niazi, Fawad S.

doi:10.5703/1288284317346

Cited by 8 publications

(1 citation statement)

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“…Since its introduction to the geotechnical engineering field the cone penetration test (CPT) has been applied to numerous engineering tasks, such as the estimation of bearing capacity, design of shallow and deep foundations, walls and embankments, as well as the assessment of ground improvement measures and the site resistance to liquefaction (Umar et al 2018;Kumar et al 2021). Nevertheless, estimating soil parameters and site characterization may be regarded as the main purposes for carrying out CPTs (Lunne et al 1997;Schnaid 2009;Niazi 2022). Essentially, these tasks are non-trivial and often carried out considering empirical interpretation approaches and simplified assumptions that may have limited applicability in engineering practice.…”

Section: Introductionmentioning

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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