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


Kovačević, Meho Saša; Gavin, Kennet; Reale, Cormac; Librić, Lovorka; Jurić Kaćunić, Danijela
Developing correlations between the soil fines content and CPT results using neural networks // Proceedings of the XVII ECSMGE-2019 / Sigursteinsson, Haraldur ; Erlingsson, Sigurður ; Bessason, Bjarni (ur.).
Reykjavik: Icelandic Geotechnical Society, 2019. 244, 8 doi:10.32075/17ECSMGE-2019-0244 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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

Autori
Kovačević, Meho Saša ; Gavin, Kennet ; Reale, Cormac ; Librić, Lovorka ; Jurić Kaćunić, Danijela

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the XVII ECSMGE-2019 / Sigursteinsson, Haraldur ; Erlingsson, Sigurður ; Bessason, Bjarni - Reykjavik : Icelandic Geotechnical Society, 2019

ISBN
978-9935-9436-1-3

Skup
XVII European Conference on Soil Mechanics and Geotechnical Engineering

Mjesto i datum
Island, Rejkjavik, 01-06.09.2019

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
CPT ; fines content ; correlation ; neural network

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Građevinarstvo



POVEZANOST RADA


Ustanove
Građevinski fakultet, Zagreb

Citiraj ovu publikaciju

Kovačević, Meho Saša; Gavin, Kennet; Reale, Cormac; Librić, Lovorka; Jurić Kaćunić, Danijela
Developing correlations between the soil fines content and CPT results using neural networks // Proceedings of the XVII ECSMGE-2019 / Sigursteinsson, Haraldur ; Erlingsson, Sigurður ; Bessason, Bjarni (ur.).
Reykjavik: Icelandic Geotechnical Society, 2019. 244, 8 doi:10.32075/17ECSMGE-2019-0244 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Kovačević, M., Gavin, K., Reale, C., Librić, L. & Jurić Kaćunić, D. (2019) Developing correlations between the soil fines content and CPT results using neural networks. U: Sigursteinsson, H., Erlingsson, S. & Bessason, B. (ur.)Proceedings of the XVII ECSMGE-2019 doi:10.32075/17ECSMGE-2019-0244.
@article{article, year = {2019}, pages = {8}, DOI = {10.32075/17ECSMGE-2019-0244}, chapter = {244}, keywords = {CPT, fines content, correlation, neural network}, doi = {10.32075/17ECSMGE-2019-0244}, isbn = {978-9935-9436-1-3}, title = {Developing correlations between the soil fines content and CPT results using neural networks}, keyword = {CPT, fines content, correlation, neural network}, publisher = {Icelandic Geotechnical Society}, publisherplace = {Island, Rejkjavik}, chapternumber = {244} }

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