| contributor author | Bessette, Caroline | |
| contributor author | Dashti, Shideh | |
| contributor author | Liel, Abbie B. | |
| contributor author | Hwang, Yu-Wei | |
| date accessioned | 2026-08-20T10:56:38Z | |
| date available | 2026-08-20T10:56:38Z | |
| date copyright | 2025/09/15 | |
| date issued | 2025 | |
| identifier other | JGGEFK.GTENG-13775.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4311476 | |
| description abstract | AbstractIn this paper, we introduce physics-informed, machine learning (ML)–based predictive
models for the permanent settlement of foundations on stratigraphically variable liquefiable
deposits. In this paper, we define stratigraphic variability as two-... | |
| publisher | American Society of Civil Engineers | |
| title | Machine Learning–Based Settlement Models for Shallow-Founded Structures on Interbedded Liquefiable Sites Considering Dense Granular Columns | |
| type | Journal Article | |
| journal volume | 151 | |
| journal issue | 11 | |
| journal title | Journal of Geotechnical and Geoenvironmental Engineering | |
| identifier doi | 10.1061/JGGEFK.GTENG-13775 | |
| journal fristpage | 04025143-1 | |
| journal lastpage | 04025143-22 | |
| page | 22 | |
| tree | Journal of Geotechnical and Geoenvironmental Engineering:;2025:;Volume ( 151 ):;issue: 011 | |
| contenttype | Fulltext | |
