| dc.contributor.author | Guo, Pengwei | |
| dc.contributor.author | Jiang, Zhan | |
| dc.contributor.author | Meng, Weina | |
| dc.contributor.author | Bao, Yi | |
| dc.date.accessioned | 2026-08-20T21:21:41Z | |
| dc.date.available | 2026-08-20T21:21:41Z | |
| dc.date.copyright | 2025/12/11 | |
| dc.date.issued | 2026 | |
| dc.identifier.other | JBENF2.BEENG-7893.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314340 | |
| dc.description.abstract | Abstract Concrete structures deteriorate over time due to environmental exposure and mechanical
stress, leading to various types of damage such as cracking, spalling, corrosion,
and exposed rebar. Automated detection using deep learning-based computer ... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | MDMCS: A Benchmark Data Set for Multidamage Monitoring of Concrete Structures | |
| dc.type | Journal Article | |
| dc.journal.volume | 31 | |
| dc.journal.issue | 2 | |
| dc.journal.title | Journal of Bridge Engineering | |
| dc.identifier.doi | 10.1061/JBENF2.BEENG-7893 | |
| dc.journal.fristpage | 04725002-1 | |
| dc.journal.lastpage | 04725002-11 | |
| dc.page | 11 | |
| dc.tree | Journal of Bridge Engineering:;2026:;Volume ( 031 ):;issue: 002 | |
| dc.contenttype | Fulltext | |
