| contributor author | Rateria, Gunjan | |
| contributor author | Maurer, M.ASCE, Brett W. | |
| date accessioned | 2026-08-20T10:58:47Z | |
| date available | 2026-08-20T10:58:47Z | |
| date copyright | 2026/05/22 | |
| date issued | 2026 | |
| identifier other | JGGEFK.GTENG-14428.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4311524 | |
| description abstract | AbstractVolume-averaging effects significantly influence the accuracy of cone-penetration-test
(CPT) measurements in layered soil profiles. This study presents a machine learning
(ML)–based inversion model designed to correct these effects, leveraging a ... | |
| publisher | American Society of Civil Engineers | |
| title | A Cone-Penetration-Test Inversion Model Developed via Machine Learning of Physical and Virtual Calibration-Chamber Experiments | |
| type | Journal Article | |
| journal volume | 152 | |
| journal issue | 8 | |
| journal title | Journal of Geotechnical and Geoenvironmental Engineering | |
| identifier doi | 10.1061/JGGEFK.GTENG-14428 | |
| journal fristpage | 04026050-1 | |
| journal lastpage | 04026050-15 | |
| page | 15 | |
| tree | Journal of Geotechnical and Geoenvironmental Engineering:;2026:;Volume ( 152 ):;issue: 008 | |
| contenttype | Fulltext | |