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Prediction of Pile Running during Installation Using Deep Learning Method

Prediction of Pile Running during Installation Using Deep Learning Method

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e3fcc7254e634555aaa3aea6eb6673fa

Prediction of Pile Running during Installation Using Deep Learning Method

About this item

Full title

Prediction of Pile Running during Installation Using Deep Learning Method

Publisher

Basel: MDPI AG

Journal title

Journal of marine science and engineering, 2024-07, Vol.12 (7), p.1099

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Pile running during the installation of offshore large diameter pipe piles poses a significant challenge to construction safety and pile bearing capacity. This paper proposes a deep learning (DL)-based method for predicting pile running occurrences. Utilizing a dataset of pile installation records collected from various construction sites, the DL m...

Alternative Titles

Full title

Prediction of Pile Running during Installation Using Deep Learning Method

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_e3fcc7254e634555aaa3aea6eb6673fa

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e3fcc7254e634555aaa3aea6eb6673fa

Other Identifiers

ISSN

2077-1312

E-ISSN

2077-1312

DOI

10.3390/jmse12071099

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