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Structure and Infrastructure Engineering
Maintenance, Management, Life-Cycle Design and Performance
Volume 17, 2021 - Issue 1
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Articles

Numerical study of rockfall impact on bridge piers and its effect on the safe operation of high-speed trains

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Pages 1-19 | Received 03 Jun 2019, Accepted 19 Nov 2019, Published online: 24 Feb 2020
 

Abstract

Bridges situated in mountainous regions are vulnerable to rockfall collisions, which may endanger the safe operation of high-speed trains that travel on these bridges. This article presents numerical simulations of collisions between falling rocks and piers to investigate impact forces, bridge responses and track structural deformation by using the finite element code LS-DYNA. A two-step numerical modelling technique is proposed to determine the operational safety indices for high-speed trains. The influences of rockfall velocity, diameter, impact location and train speed on the impact forces, pier-top displacements and train operational safety indices are investigated based on a case study. Results show that the rockfall impact force can be characterized by a very short impulse that has an obvious effect on bridge dynamic responses. The additional track irregularity caused by the bridge girder displacements can notably amplify the train operational safety indices, especially for the indices of derailment factor and lateral wheel/rail force. The high-speed train is in an unsafe operational state for a falling rock diameter of 1 m when the rock falling velocity reaches 30 m/s or for a falling rock velocity of 20 m/s when the diameter is greater than 1.5 m.

Acknowledgements

The first author wishes to thank Dr. Yanyan Sha from the Department of Marine Technology, Norwegian University of Science and Technology for providing great suggestions in the modeling of falling rock–pier collisions.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was funded by the National Natural Science Foundation of China (Grant Numbers. 51778534 and 51978580) and the Ministry of Science and Technology of China (Grant Number. KY201801005).

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