| contributor author | Niu, Gang | |
| contributor author | He, Xuzhen | |
| date accessioned | 2026-08-20T12:09:40Z | |
| date available | 2026-08-20T12:09:40Z | |
| date copyright | 2026/01/07 | |
| date issued | 2026 | |
| identifier other | IJGNAI.GMENG-11938.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4313170 | |
| description abstract | Abstract Tunneling-induced ground surface settlement (GSS) is a critical concern in urban areas
as it can lead to differential settlement of surface constructions and cracking of
underground pipelines. While numerical methods and machine learning ... | |
| publisher | American Society of Civil Engineers | |
| title | A Deep Learning–Based Approach for the Evaluation of Tunneling-Induced Ground Surface Settlement Considering Spatial Variability of the Soil | |
| type | Journal Article | |
| journal volume | 26 | |
| journal issue | 3 | |
| journal title | International Journal of Geomechanics | |
| identifier doi | 10.1061/IJGNAI.GMENG-11938 | |
| journal fristpage | 04026010-1 | |
| journal lastpage | 04026010-17 | |
| page | 17 | |
| tree | International Journal of Geomechanics:;2026:;Volume ( 026 ):;issue: 003 | |
| contenttype | Fulltext | |
