A 3D train-track-tunnel-soil coupled dynamics model based on semi-analytical cylindrical layer element

IF 5.3 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Jianjin Yang , Shengyang Zhu , Lei Xu , Georges Kouroussis , Qiuyi Li , Wanming Zhai
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引用次数: 0

Abstract

A 3D train-track-tunnel-soil (TTTS) coupled dynamics model is developed in the time domain, where the spatial dynamic interactions between the subsystems can be characterized and captured. In the model, the tunnel-soil subsystem is modeled using the semi-analytic cylindrical layer elements to improve computational efficiency, while spatial track/tunnel dynamic interactions are employed to couple the tunnel-soil and train-track subsystems. After being verified by in-situ tests under hammer impact load and train dynamic load, the developed TTTS model is employed to investigate the tunnel-soil subsystem dynamic responses caused by trains moving on straight and curved railways, which have not been adequately addressed in previous research. Results demonstrate that the developed TTTS model can more realistically and efficiently simulate the dynamic responses of tunnel and soil induced by moving trains, particularly in cases involving curved railways.
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来源期刊
Computers and Geotechnics
Computers and Geotechnics 地学-地球科学综合
CiteScore
9.10
自引率
15.10%
发文量
438
审稿时长
45 days
期刊介绍: The use of computers is firmly established in geotechnical engineering and continues to grow rapidly in both engineering practice and academe. The development of advanced numerical techniques and constitutive modeling, in conjunction with rapid developments in computer hardware, enables problems to be tackled that were unthinkable even a few years ago. Computers and Geotechnics provides an up-to-date reference for engineers and researchers engaged in computer aided analysis and research in geotechnical engineering. The journal is intended for an expeditious dissemination of advanced computer applications across a broad range of geotechnical topics. Contributions on advances in numerical algorithms, computer implementation of new constitutive models and probabilistic methods are especially encouraged.
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