Paper Review Records
All Paper Review Records
20 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.
Developing a transferable YOLO-DeepCrack model for surface defect detection in CFRP-strengthened concrete
AuthorsKeyu Chen; Jun Lin; Zilong Wang; Zhexiong Shang
Affiliations1. School of Civil Engineering and Architecture, Hainan University, Haikou, China
Wideband response of MEMS resonators beyond their natural frequency for structural health monitoring applications
AuthorsTalha Masood Khan; Ronghua Xu; Hrishikesh Danawe; Steffen Marx; Serife Tol; Didem Ozevin
Affiliations1. Department of Civil, Materials, and Environmental Engineering, University of Illinois Chicago, Chicago, USA; 2. Institute of Concrete Structures, TUD Dresden University of Technology, Dresden, Germany; 3. Department of Mechanical Engineering, University of Michigan, Ann Arbor, USA
Intelligent damage monitoring system for hydraulic structures with the detection–segmentation collaborative framework
AuthorsXinxin Jin; Chang Zhou; Mengyao Shen; Ding Nie; Xiaorong Xu; Hui Jiang
Affiliations1. State Key Laboratory of Water Cycle and Water Security, China Institute of Water Resources and Hydropower Research, Beijing, China; 2. School of Water Resources and Hydropower Engineering, North China Electric Power University, Beijing, China; 3. National Key Laboratory of Bridge Safety and Resilience, Beijing University of Technology, Beijing, China
DInSAR-based fully remote assessment of building damage
AuthorsS. Scoccola; G. Fabbrocino; A. Sandoli
Affiliations1. Department of Biosciences and Territory, University of Molise, Campobasso, Italy
Machine learning-enabled probabilistic hybrid model updating of pitting corrosion with application to hydraulic steel structures: an experimental validation
AuthorsGuofeng Qian; Duncan J. Fure; Long Wang; Zhen Hu; Michael D. Todd
Affiliations1. Department of Structural Engineering, University of California San Diego, La Jolla, USA; 2. Department of Civil and Environmental Engineering, California Polytechnic State University, San Luis Obispo, USA; 3. Department of Industrial and Manufacturing Systems Engineering, University of Michigan-Dearborn, Dearborn, USA
Lightweight YOLO-LYE enables edge intelligence for climbing robotic inspection of the bridge cable sheath defects
AuthorsXinfeng Yin; Chenhao Wang; Yang Quan; Yong Liu; Jun He; Zhou Huang
Affiliations1. School of Civil and Environment Engineering, Changsha University of Science and Technology, Changsha, China; 2. Hubei Communications Investment Group Co., Ltd, Wuhan, China; 3. School of Civil Engineering, Changsha University, Changsha, China
Application of joint identification algorithm optimized by improved genetic algorithm in shield tunnel dislocation detection
AuthorsYu Li; Huai-Na Wu; Dong-Lin Feng; Tao Chen; Hong-Zhan Cheng; Ren-Peng Chen
Affiliations1. Hunan Provincial Engineering Research Center for Advanced Technology and Intelligent Equipment for Underground Space Development, Hunan University, Changsha, China; 2. College of Civil Engineering, Hunan University, Changsha, China
Acoustic resonance method for the rapid and quantitative identification of bolt looseness
Authorsİbrahim YILDIZ
Affiliations1. Mechatronics Engineering Department, Necmettin Erbakan University, Koycegiz, Konya, Turkey
Structural health monitoring of a long-span cable-stayed bridge using GNSS observations from a dual-frequency smartphone
AuthorsJ. Rene Vazquez-Ontiveros; G. Michel Guzman-Acevedo; Juan A. Quintana-Rodriguez; Alvaro Martinez-Trujano; Maria Clara de Lacy
Affiliations1. Department of Earth and Space Sciences, Autonomous University of Sinaloa, Culiacan, Mexico; 2. Department of Instrumentation, CANDE Ingenieros, S.A. DE C.V., CDMX, Mexico; 3. Department of Vehicle Engineering and Structural Integrity, Mexican Institute of Transportation, Queretaro, Mexico; 4. Departament of Applied Mathematics and Data Science, School of Economic and Business, University San Pablo CEU, Madrid, Spain
Application of satellite for geotechnical monitoring of high-speed railway subgrade settlement: a comparative study of PS-InSAR and ComSAR
AuthorsByung-Kyu Kim; Ilwha Lee; Winter Kim; Sang Yeob Kim
Affiliations1. Track & Civil Infrastructure Division, Korea Railroad Research Institute, Uiwang, Republic of Korea; 2. Department of Fire and Disaster Prevention, Konkuk University, Chungju-Si, Republic of Korea
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