Developing correlations between the soil fines content and CPT results using neural networks

Cormac Reale, Kenneth Gavin, L. Libric, M. S. Kovacevic, Danijela Jurić-Kaćunić

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Abstract

Knowledge of the fines content is necessary for all soil classification systems and an important factor in the evaluation of soil strength in liquefaction and seismic settlement analysis. This paper presents the application of cone penetration test, CPT data for estimating the soil fines content. The correlation can be used either as a first estimate of fines content (for example in the offshore environment) or to provide statistical information on the variation of fines content within a given area of interest (e.g. for a regional liquefaction study). The paper shows how field and laboratory test data were used with a neural network to correlate the CPT results and the fines content. Data from five site investigation locations across Northern Croatia were utilised. Verification of the approach is performed using field and lab test data from the Veliki vrh landslide.
Original languageEnglish
Publication statusPublished - 2019
EventThe XVII European Conference on
Soil Mechanics and Geotechnical Engineering
- Reykjavik, Iceland
Duration: 1 Sep 20196 Sep 2019
https://www.ecsmge-2019.com/

Conference

ConferenceThe XVII European Conference on
Soil Mechanics and Geotechnical Engineering
Abbreviated titleXVII ECSMGE
Period1/09/196/09/19
Internet address

Cite this

Reale, C., Gavin, K., Libric, L., Kovacevic, M. S., & Jurić-Kaćunić, D. (2019). Developing correlations between the soil fines content and CPT results using neural networks. Paper presented at The XVII European Conference on
Soil Mechanics and Geotechnical Engineering, .