Prediction of pore water pressure generation of liquefiable clean sands under cyclic shear loading through deep learning

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Publication Details

Journal
Geomechanics and Geoengineering
Published
2025-04-15
DOI
https://doi.org/10.1080/17486025.2025.2491493
Citations
2
Primary Topic
Geotechnical Engineering and Underground Structures
Type
article
Field-Weighted Citation Impact
1.91
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article

Prediction of pore water pressure generation of liquefiable clean sands under cyclic shear loading through deep learning

Gülşen Taşkın, Mehmet Baris Can Ulker, Omer Tugsad Birinci
2 citations
Geomechanics and Geoengineering
Geotechnical Engineering and Underground Structures
1.91
article

Prediction of pore water pressure generation of liquefiable clean sands under cyclic shear loading through deep learning

Gülşen Taşkın, Mehmet Baris Can Ulker, Omer Tugsad Birinci
article en
2 citations

Abstract

No abstract available for this paper.
Geomechanics and GeoengineeringVol. 20(5)
Istanbul Technical University (TR)
Openalex Percentile: Top 16%
Geotechnical Engineering and Underground Structures
1.91
DOISourceOpenAlex
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Prediction of pore water pressure generation of liquefiable clean sands under cyclic shear loading through deep learning — Gülşen Taşkın, Mehmet Baris Can Ulker, et al. · Geomechanics and Geoengineering (2025) | TGRS Research Map | TGRS