Reliability and Safety of Cable-Supported Bridges

Naiwei Lu is an associate professor of civil engineering at the Changsha University of Science and Technology, China. He received his B.D.(2008), M.D.(2011), and Ph.D. (2015) from Changsha University of Science and Technology. He was a postdoctoral researcher (May. 2015 to Jun. 2017) at the Southeast University, China, and a visiting postdoctoral researcher (Jan. 2016 to Jan. 2017) in the Institute for Risk and Reliability at Leibniz University Hannover, Germany. His research interests are in reliability and safety assessment of long-span bridges. Yang Liu is a professor of civil Engineering and an eminent scholar at Hunan University of Technology, and a guest professor of civil engineering at Changsha University of Science and Technology. He received his Ph.D. (2005) from Hunan University, China. His research interests are in bridge safety control and reliability assessment. Prof. Mohammad Noori is a professor of mechanical engineering at California Polytechnic State University, San Luis Obispo. He received his BS (1977), his MS (1980) and his PhD (1984) from the University of Illinois, Oklahoma State University and the University of Virginia respectively; all degrees in Civil Engineering with a focus on Applied Mechanics. His research interests are in stochastic mechanics, non-linear random vibrations, earthquake engineering and structural health monitoring, AI-based techniques for damage detection, stochastic mechanics, and seismic isolation. He serves as the executive editor, associate editor, the technical editor or a member of editorial boards of 8 international journals. He has published over 250 refereed papers, has been an invited guest editor of over 20 technical books, has authored/co-authored 6 books, and has presented over 100 keynote and invited presentations. He is a Fellow of ASME, and has received the Japan Society for Promotion of Science Fellowship.

Introduction. Serviceability Reliability Assessment of Prestressed Concrete Cable-Stayed Bridges Using Intelligent Neural Networks. System Reliability Assessment of A Cable-Stayed Bridge Using an Adaptive Support Vector Regression Method. System Reliability Evaluation of In-Service Cable-Stayed Bridges Subjected to Cable Degradation. Reliability Evaluation of a Cable-Stayed Bridge Subjected to Cable Rupture During Construction. Fatigue Reliability Evaluation of Orthotropic Steel Bridge Decks Based on Site-Specific Weigh-In-Motion Measurements. Probabilistic Fatigue Damage of Orthotropic Steel Deck Details Based on Structural Health Monitoring Data. Fatigue Crack Propagation of Rib-to-Deck Double-Sided Welded Joints of Orthotropic Steel Bridge Decks. Maximum Probabilistic Traffic Load Effects on Large Bridges Based on Long-Term Traffic Monitoring Data. Dynamic Reliability of Cable-Supported Bridges Under Moving Stochastic Traffic Loads. A Deep Belief Network Based Intelligent Approach for Structural Reliability Evaluation and Its Application to Cable-Supported Bridges.