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contributor authorAi, Changfa
contributor authorHe, Anzheng
contributor authorWu, Di
contributor authorZhang, Allen A.
contributor authorChen, Zhenyu
contributor authorSun, Yangyong
contributor authorPeng, Yi
contributor authorCheng, Huixuan
date accessioned2026-08-20T21:28:32Z
date available2026-08-20T21:28:32Z
date copyright2026/03/20
date issued2026
identifier otherJCCEE5.CPENG-7381.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314516
description abstractAbstractThis paper proposes an efficient and robust model named bridge crack segmentation network (BCS-Net), tailored for high-precision segmentation of surface cracks on concrete bridges. BCS-Net adopts an encoder-decoder framework augmented by a ...Practical ApplicationsThe bridge surface crack is a primary form of structural damage in concrete bridges and a significant focus of bridge surface inspections. Accurate detection and timely repair of surface cracks prior to their deterioration are ...
publisherAmerican Society of Civil Engineers
titleAn Efficient and Robust Model for Precise Surface Crack Segmentation on Concrete Bridge Structures
typeJournal Article
journal volume40
journal issue4
journal titleJournal of Computing in Civil Engineering
identifier doi10.1061/JCCEE5.CPENG-7381
journal fristpage04026035-1
journal lastpage04026035-15
page15
treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 004
contenttypeFulltext


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