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Calibration of a Finite Element Model to Predict the Dynamic Response of a Railway Track Bed Subjected to Low- and High-Speed Moving Train Loads
Sustainable and resilient design of railway track beds subjected to low and high moving train loads nowadays require the use of sophisticated three-dimensional finite element analysis. Nonetheless, there is no insight in the available studies regarding the parameters that influence the accuracy of the finite element model, especially for high-speed trains. This might create confusion and lead to several trial-and-error analyses by engineers to reach a robust three-dimensional finite element modelling of low and high-speed moving trains. However, such analyses are not always feasible due to a lack of experience and knowledge of the designers in the finite element analysis or limitations of the design budget. Hence, this study has been conducted to show how the mesh density, time step of the analysis, thickness of soil deposit being considered in the analysis, finite element model width, and shear strength parameters affect the results of the finite element analysis of the aforementioned problem. It was found that the mesh density has no influence on the dynamic response of the track bed if Plaxis 3D automatic meshing technique has been used. However, a pronounced effect has been found for the time step, the thickness of soil deposit, finite element model width, and shear strength parameters. Hence, recommended values or approaches for all of the aforementioned parameters have been proposed to ensure robust modelling of the dynamic response of a track bed subjected to moving trains. The findings of this study will provide useful information to researchers and engineers working on the analysis and design of problems that involve moving trains and vibration effects of trains and will help to reduce the design costs.
Calibration of a Finite Element Model to Predict the Dynamic Response of a Railway Track Bed Subjected to Low- and High-Speed Moving Train Loads
Sustainable and resilient design of railway track beds subjected to low and high moving train loads nowadays require the use of sophisticated three-dimensional finite element analysis. Nonetheless, there is no insight in the available studies regarding the parameters that influence the accuracy of the finite element model, especially for high-speed trains. This might create confusion and lead to several trial-and-error analyses by engineers to reach a robust three-dimensional finite element modelling of low and high-speed moving trains. However, such analyses are not always feasible due to a lack of experience and knowledge of the designers in the finite element analysis or limitations of the design budget. Hence, this study has been conducted to show how the mesh density, time step of the analysis, thickness of soil deposit being considered in the analysis, finite element model width, and shear strength parameters affect the results of the finite element analysis of the aforementioned problem. It was found that the mesh density has no influence on the dynamic response of the track bed if Plaxis 3D automatic meshing technique has been used. However, a pronounced effect has been found for the time step, the thickness of soil deposit, finite element model width, and shear strength parameters. Hence, recommended values or approaches for all of the aforementioned parameters have been proposed to ensure robust modelling of the dynamic response of a track bed subjected to moving trains. The findings of this study will provide useful information to researchers and engineers working on the analysis and design of problems that involve moving trains and vibration effects of trains and will help to reduce the design costs.
Calibration of a Finite Element Model to Predict the Dynamic Response of a Railway Track Bed Subjected to Low- and High-Speed Moving Train Loads
Transp. Infrastruct. Geotech.
Alzabeebee, Saif (author)
Transportation Infrastructure Geotechnology ; 10 ; 504-520
2023-06-01
17 pages
Article (Journal)
Electronic Resource
English
Springer Verlag | 2023
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