Efficient time–frequency approach for prediction of subway train-induced tunnel and ground vibrations. (March 2022)

• Record Type: Journal Article
• Authors: Wang, Lidong; Han, Yan; Zhu, Zhihui; Hu, Peng; Cai, CS
• Is Part Of: Proceedings of the Institution of Mechanical Engineers. Volume 236:Number 3(2022)
• Page Start: 288
• Page End: 301
• Publication Date: 2022-03
• Subjects: Train-induced tunnel and ground vibrations -- time–frequency approach -- wheel–rail contact model -- strongly coupled model -- two-and-a-half-dimensional approach -- subway train; Railroads -- Periodicals; Personal rapid transit -- Periodicals; 625.1
• DOI: 10.1177/09544097211020586
• Languages: English
• ISSNs: 0954-4097

Abstract

In this paper, an efficient time–frequency approach is presented for the prediction of subway train-induced tunnel and ground vibrations. The proposed approach involves two steps. In the first step, a time domain simulation of the vehicle–track subsystem is used to determine the track–tunnel interaction forces and, in the second step, the resulting forces are then applied to a 2.5 D FEM–PML model of the tunnel–soil system. There are two main aspects to the novelty and contribution of this work: First, the errors of the linearized Hertzian wheel–rail contact models in the calculation of the track–tunnel interaction forces are quantified by a comparison with the nonlinear Hertzian contact model. The results show that the relative errors are less than 2%. Second, an efficient time–frequency analysis framework is proposed, including the use of a strongly coupled model in the time domain solution and a 2.5 D FEM–PML model in the frequency–wavenumber domain solution. Finally, the accuracy and efficiency of the proposed approach are verified by comparison with a time-dependent 3 D approach, where three types of soil, i.e. soft, medium, and hard, are considered.