| contributor author | Liu, Mingpeng | |
| contributor author | Lu, Dechun | |
| contributor author | Shiau, Jim | |
| contributor author | Lai, Fengwen | |
| contributor author | Huang, Ming | |
| contributor author | Zhou, Xin | |
| date accessioned | 2026-08-20T21:11:21Z | |
| date available | 2026-08-20T21:11:21Z | |
| date copyright | 2026/06/05 | |
| date issued | 2026 | |
| identifier other | IJGNAI.GMENG-13743.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314085 | |
| description abstract | Abstract Numerical modeling is an effective approach to investigating deformation responses
caused by deep excavations; however, it often shows discrepancies when compared with
field measurements. To this end, this study develops a multifidelity neural ... | |
| publisher | American Society of Civil Engineers | |
| title | A Multifidelity Neural Network Model for Predicting Deformation in Deep Excavations and Nearby Existing Tunnels | |
| type | Journal Article | |
| journal volume | 26 | |
| journal issue | 8 | |
| journal title | International Journal of Geomechanics | |
| identifier doi | 10.1061/IJGNAI.GMENG-13743 | |
| journal fristpage | 04026153-1 | |
| journal lastpage | 04026153-16 | |
| page | 16 | |
| tree | International Journal of Geomechanics:;2026:;Volume ( 026 ):;issue: 008 | |
| contenttype | Fulltext | |
