| contributor author | Wen, Yue | |
| contributor author | Yuan, Dan | |
| contributor author | Cai, Gaochuang | |
| date accessioned | 2026-08-20T21:23:53Z | |
| date available | 2026-08-20T21:23:53Z | |
| date copyright | 2025/07/28 | |
| date issued | 2025 | |
| identifier other | JCCEE5.CPENG-6476.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314387 | |
| description abstract | AbstractGiven the rapid advancement of AI technology, deep learning (DL) is increasingly being
utilized to assess the damage of reinforced concrete (RC) elements. This paper adopts
DL to discuss the relationship between the surface damage and the seismic ... | |
| publisher | American Society of Civil Engineers | |
| title | Deep Learning–Based Quantitative Evaluation of the Relationship between Damage Evolution and Seismic Capacity of RC Columns | |
| type | Journal Article | |
| journal volume | 39 | |
| journal issue | 6 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/JCCEE5.CPENG-6476 | |
| journal fristpage | 04025087-1 | |
| journal lastpage | 04025087-15 | |
| page | 15 | |
| tree | Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 006 | |
| contenttype | Fulltext | |
