Journal of Civil Structural Health Monitoring - Top 10 Downloaded Articles 2023
We want to thank the authors of our most-downloaded articles in 2023, and highlight to our readers some of the most impactful research to have been published in the journal. We hope that you will find the data interesting.
Semi-autonomous inspection for concrete structures using digital models and a hybrid approach based on deep learning and photogrammetry, by Ali Mirzazade, Cosmin Popescu, Jaime Gonzalez-Libreros, Thomas Blanksvärd, Björn Täljsten & Gabriel Sas
Civil infrastructure defect assessment using pixel-wise segmentation based on deep learning, by Pierclaudio Savino & Francesco Tondolo
Fire risk assessment of bridges: from state of the art to structural vulnerability mitigation, by Donatella Silva, Marco Gallo, Laura Falco & Emidio Nigro
Full-scale computational fluid dynamics study on wind condition of the long-span Queensferry Crossing Bridge, by Licheng Zhu, Daniel McCrum, Conor Sweeney & Jennifer Keenahan
Prestressed concrete bridge tested to failure: the Alveo Vecchio viaduct case study, by D. Tonelli, F. Rossi, F. Brighenti, A. Verzobio, A. Bonelli & D. Zonta
Personalised federated learning framework for damage detection in structural health monitoring, by Ali Anaissi, Basem Suleiman & Widad Alyassine
Vibration-based and computer vision-aided nondestructive health condition evaluation of rail track structures, by Shaohua Wang, Hao Zheng, Lihua Tang, Zhaoyu Li, Renda Zhao, Yuqian Lu & Kean C. Aw
An innovative structural health assessment tool for existing precast concrete buildings using deep learning methods and thermal infrared satellite imagery, by Madi Kargin, Rauan Lukpanov, Andrey Serenkov, Yerkin Shaymagambetov, Jumat Kargin, Reyes Garcia & Irwanda Laory
Real-time sewer defect detection based on YOLO network, transfer learning, and channel pruning algorithm, by Zuxiang Situ, Shuai Teng, Xiaoting Liao, Gongfa Chen & Qianqian Zhou
Field tests and numerical analysis of the effects of scour on a full-scale soil–foundation–structural system, by Enrico Tubaldi, Christos Antonopoulos, Stergios Aristoteles Mitoulis, Sotirios Argyroudis, Fabrizio Gara, Laura Ragni, Sandro Carbonari, Francesca Dezi, Athanasios Vratsikidis, Dimitris Pitilakis & Anastasios Anastasiadis