| contributor author | Qi, Yafei | |
| contributor author | Liu, Wenli | |
| contributor author | Qu, Yao | |
| contributor author | Liu, Tianxiang | |
| contributor author | Shao, Yixiao | |
| contributor author | Liu, Fenghua | |
| date accessioned | 2026-08-20T21:28:26Z | |
| date available | 2026-08-20T21:28:26Z | |
| date copyright | 2025/11/27 | |
| date issued | 2026 | |
| identifier other | JCCEE5.CPENG-7330.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314513 | |
| description abstract | AbstractDeep learning (DL) has significantly enhanced risk management in highway bridge operation.
Although DL models exhibit strong predictive capabilities, their outputs derive from
“black box” processes and cannot characterize uncertainty, leading to ... | |
| publisher | American Society of Civil Engineers | |
| title | Causality Constrained Deep Learning for Explainable Risk Analysis of Bridge Pier Settlement | |
| type | Journal Article | |
| journal volume | 40 | |
| journal issue | 2 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/JCCEE5.CPENG-7330 | |
| journal fristpage | 04025156-1 | |
| journal lastpage | 04025156-20 | |
| page | 20 | |
| tree | Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 002 | |
| contenttype | Fulltext | |
