| contributor author | Bazrafshan, Pedram | |
| contributor author | Osan, Rhythm | |
| contributor author | Ebrahimkhanlou, Arvin | |
| date accessioned | 2026-08-20T12:29:01Z | |
| date available | 2026-08-20T12:29:01Z | |
| date copyright | 2026/02/27 | |
| date issued | 2026 | |
| identifier other | JSENDH.STENG-15932.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4313523 | |
| description abstract | AbstractThe rapid and accurate assessment of structural damage in reinforced concrete shear
walls (RCSWs) following seismic events remains a critical yet unresolved challenge
in structural engineering. Current methods rely heavily on subjective visual ... | |
| publisher | American Society of Civil Engineers | |
| title | Vision-Based Quantification of Stiffness Degradation in Reinforced Concrete Shear Walls Using Graph-Based Surface Crack Features and Machine Learning | |
| type | Journal Article | |
| journal volume | 152 | |
| journal issue | 5 | |
| journal title | Journal of Structural Engineering | |
| identifier doi | 10.1061/JSENDH.STENG-15932 | |
| journal fristpage | 04026047-1 | |
| journal lastpage | 04026047-14 | |
| page | 14 | |
| tree | Journal of Structural Engineering:;2026:;Volume ( 152 ):;issue: 005 | |
| contenttype | Fulltext | |
