High-speed Railway Train–Track–Bridge Systems: A Seismic Safety Technology Framework systematically constructs a seismic safety technology framework for high-speed railways, focusing on three key dimensions: catastrophe simulation innovation, in-depth mechanism revelation, and the implementation of prevention technologies. The book transcends the traditional limitation of modeling tracks as inertial masses by establishing, for the first time, a seismic failure model of railway tracks. For core prevention technologies, it proposes a disruptive SI (Spectral Intensity) velocity spectrum index that dynamically maps train derailment states to the responses of bridges.
These results have already been applied to hundreds of bridges along the Guiyang–Guangzhou and Shanghai–Kunming high-speed railways, surviving nine strong earthquakes of magnitude 5.5 or greater. This book serves as an integrated knowledge source for both academic researchers and professional engineers: scholars will gain proficiency in the complete "experiment–simulation–mechanism" research workflow; engineers can directly leverage SI velocity spectrum design metrics embedded in industry standards, improving efficiency in seismic-region bridge design; industry leaders can adapt maglev train-bridge coupled vibration test technologies to support national maglev R&D initiatives.
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Wei Guo is Professor and Vice Dean of the School of Civil Engineering at Central South University, China. He also serves as the Executive Deputy Director of the National Engineering Research Center of High-Speed Railway Construction Technology. Prof. Guo is a recipient of the National Science Fund of China for Excellent Young Scholars in recognition of his outstanding research contributions. Prof. Guo has led more than eight national-level research projects, including major programs funded by the National Natural Science Foundation of China (NSFC) and China State Railway Group, covering key topics such as high-speed railway bridge dynamics, train–track–bridge interaction, intelligent sensing, seismic safety, and performance prediction. Prof. Guo has published over 240 peer-reviewed academic papers, authored five academic monographs, and held 59 authorized invention patents
Dr Yu Zhiwu is a professor based at Central South University. He is Director of the National Engineering Research Center of High-Speed Railway Construction Technology. His research interests cover stochastic vibration and operational safety of train–track–bridge systems
Dr Jiang Lizhong is a professor based at Central South University. He is President of Hunan University of Science and Technology, and Executive Deputy Director of the National Engineering Research Center of High-Speed Railway Construction Technology. His research interests include: high-speed railway bridge seismic resistance and the stability of composite structures. He has led over 80 projects including the National Natural Science Foundation of China and China Railway Corporation Joint Fund for Basic Research of High-speed Railways
High-speed Railway Train–Track–Bridge Systems: A Seismic Safety Technology Framework systematically constructs a seismic safety technology framework for high-speed railways, focusing on three key dimensions: catastrophe simulation innovation, in-depth mechanism revelation, and implementation of prevention technologies. In catastrophe simulations, it integrates platforms such as OpenSees and SIMPACK to develop a collaborative simulation system. The book transcends the traditional limitation of modelling tracks as inertial masses by establishing, for the first time, a seismic failure model of railway tracks. For core prevention technologies, it proposes a disruptive SI (Spectral Intensity) velocity spectrum index that dynamically maps train derailment states to the responses of bridges. These results have already been applied to hundreds of bridges along the Guiyang–Guangzhou and Shanghai–Kunming high-speed railways, surviving nine strong earthquakes of magnitude 5.5 or greater. This book serves as an integrated knowledge source for both academic researchers and professional engineers: scholars will gain proficiency in the complete "experiment–simulation–mechanism" research workflow; engineers can directly leverage SI velocity spectrum design metrics embedded in industry standards, improving efficiency in seismic-region bridge design; industry leaders can adapt maglev train-bridge coupled vibration test technologies to support national maglev R&D initiatives
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