TY - GEN
T1 - Monitoring-assisted derailment prediction of a high-speed train running on a long-span cable-stayed bridge
AU - Wang, Sumei
AU - Duan, Yuanfeng
AU - Yau, Jongda
AU - Ni, Yi Qing
PY - 2019/1/1
Y1 - 2019/1/1
N2 - In this study, a novel approach considering the dynamic interaction of train-bridge system based on the Vector Form Intrinsic Finite Element (VFIFE) method is proposed for evaluating the risk of derailment of a train traveling over a long-span cable-stayed bridge under crosswinds. Making use of the VFIFE method, the train and bridge systems can be discretized into a group of mass particles with massless stiffness elements and each mass particle satisfies the Newton's second law. The internal forces induced by pure deformations in the massless elements are calculated using the fictitious reverse motion method, by which the conventional updating, factorizing and inverse procedures for solving structural matrices of the train-bridge system are skipped. As a result, the equation of each mass particle can be solved individually. For evaluating potential derailment of a running train under crosswinds, the running safety factors including derailment factor, offload factor and lateral wheel-rail force have been obtained. In the case study, a two-phase plot with safety and derailment regions is configured for a train running on a cable-stayed bridge under crosswinds. Results show that the wind-induced vibration of the system may affect significantly the running safety of the train. When the time-varying parameters required are available from online and onboard monitoring systems, the proposed model can be executed to assess the derailment risk in a real-time manner.
AB - In this study, a novel approach considering the dynamic interaction of train-bridge system based on the Vector Form Intrinsic Finite Element (VFIFE) method is proposed for evaluating the risk of derailment of a train traveling over a long-span cable-stayed bridge under crosswinds. Making use of the VFIFE method, the train and bridge systems can be discretized into a group of mass particles with massless stiffness elements and each mass particle satisfies the Newton's second law. The internal forces induced by pure deformations in the massless elements are calculated using the fictitious reverse motion method, by which the conventional updating, factorizing and inverse procedures for solving structural matrices of the train-bridge system are skipped. As a result, the equation of each mass particle can be solved individually. For evaluating potential derailment of a running train under crosswinds, the running safety factors including derailment factor, offload factor and lateral wheel-rail force have been obtained. In the case study, a two-phase plot with safety and derailment regions is configured for a train running on a cable-stayed bridge under crosswinds. Results show that the wind-induced vibration of the system may affect significantly the running safety of the train. When the time-varying parameters required are available from online and onboard monitoring systems, the proposed model can be executed to assess the derailment risk in a real-time manner.
UR - http://www.scopus.com/inward/record.url?scp=85074273644&partnerID=8YFLogxK
M3 - Conference article published in proceeding or book
AN - SCOPUS:85074273644
T3 - Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT) - Proceedings of the 12th International Workshop on Structural Health Monitoring
SP - 2810
EP - 2817
BT - Structural Health Monitoring 2019
A2 - Chang, Fu-Kuo
A2 - Guemes, Alfredo
A2 - Kopsaftopoulos, Fotis
PB - DEStech Publications Inc.
T2 - 12th International Workshop on Structural Health Monitoring: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), IWSHM 2019
Y2 - 10 September 2019 through 12 September 2019
ER -