The post-earthquake damage state of reinforced concrete (RC) double-column piers directly affects bridge traffic capacity and emergency response efficiency. To improve the interpretability of damage assessment, this study proposes a Structural–Visual Integrated Evaluation (SVIE) framework that combines structural respo...
Surface crack delineation plays an important role in infrastructure inspection because accurate pixel-level mapping of cracks can support condition assessment, maintenance planning, and automated monitoring of roads and other civil surfaces. However, recent crack segmentation methods often depend on heavy network desig...
M. Almustafa, Israa H. Ali· Journal of Intelligent Infor...· 0 citations
An integrated framework for automated segmentation and management of DIC-based cracks using synthetic data, unsupervised learning, and building information modeling (BIM) is introduced.
Rui Li, Qi-Chang Ban, Zi-Long Wang et al.· Infrastructures· 0 citations
: Due to transportation disruptions after the earthquake, on-site surveys could not quickly assess house damage. Remote sensing can quickly acquire disaster-related information over large-scale affected areas and support rapid localization and morphological identification of damaged buildings from top-view observations...
Hai-Jia Wen, Wan-Ying Zhang, Ying-Qi Zeng et al.· Computer Modeling in Enginee...· 0 citations
Automated vision-based structural health monitoring (SHM) of catenary support components is critical for ensuring railway operational safety. However, achieving reliable structural damage identification in practical engineering scenarios is hindered by complex environmental and operational variations (EOVs) in aerial i...
Continuous, reliable monitoring of geographically dispersed oil and gas production facilities is essential for accident prevention, asset integrity, and regulatory compliance, yet ground-based inspection is labour-intensive and temporally sparse. Unmanned aerial vehicles (UAVs) offer on-demand aerial coverage, but auto...
Jian-Hua Gong, Yi-Fu Wang, Jun Zhang et al.· PLoS ONE· 0 citations
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