Prediction of Vibration Induced by High-Speed Train: Consideration of Soil Spatial Variability

Chen, F. Y.; Zhang, J.; Zhang, X. L.; Feng, Shi‐Jin

doi:10.1061/9780784480717.041

Cited by 3 publications

(1 citation statement)

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“…Some studies have investigated the effects of spatially variable soil parameters on foundation pit excavation (Luo and Hu, 2020), slope stability (Hu and Luo, 2018), and the environmental vibration of high-speed railway subgrades (Chen et al, 2017). Although some vibration prediction methods have been established to account for soil variation characteristics, including empirical formula-based methods and hybrid methods that combine numerical simulations and empirical formulas (Melke, 1988;Paneiro et al, 2015;Colaço et al, 2017;Sadeghi et al, 2019), these empirical formula-based prediction methods have limited regional applicability and cannot quantitatively reveal the impact of soil properties on ground vibrations.…”

Section: Introductionmentioning

confidence: 99%

Predicting ground vibrations from railway tunnels using an improved 2.5D FEM-PML model with soil spatial variability

Di,

Xu,

Gong

et al. 2024

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PurposeThis study establishes a method for predicting ground vibrations caused by railway tunnels in unsaturated soils with spatial variability.Design/methodology/approachFirst, an improved 2.5D finite-element-method-perfect-matching-layer (FEM-PML) model is proposed. The Galerkin method is used to derive the finite element expression in the ub-pl-pg format for unsaturated soil. Unlike the ub-v-w format, which has nine degrees of freedom per node, the ub-pl-pg format has only five degrees of freedom per node; this significantly enhances the calculation efficiency. The stretching function of the PML is adopted to handle the unlimited boundary domain. Additionally, the 2.5D FEM-PML model couples the tunnel, vehicle and track structures. Next, the spatial variability of the soil parameters is simulated by random fields using the Monte Carlo method. By incorporating random fields of soil parameters into the 2.5D FEM-PML model, the effect of soil spatial variability on ground vibrations is demonstrated using a case study.FindingsThe spatial variability of the soil parameters primarily affected the vibration acceleration amplitude but had a minor effect on its spatial distribution and attenuation over time. In addition, ground vibration acceleration was more affected by the spatial variability of the soil bulk modulus of compressibility than by that of saturation.Originality/valueUsing the 2.5D FEM-PML model in the ub-pl-pg format of unsaturated soil enhances the computational efficiency. On this basis, with the random fields established by Monte Carlo simulation, the model can calculate the reliability of soil dynamics, which was rarely considered by previous models.

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Section: Introductionmentioning

confidence: 99%

Predicting ground vibrations from railway tunnels using an improved 2.5D FEM-PML model with soil spatial variability

Di,

Xu,

Gong

et al. 2024

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Modeling of ground vibrations from a tunnel in layered unsaturated soil with spatial variability

Guo

et al. 2022

Archiv.Civ.Mech.Eng

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On the use of dispersion curves to determine the critical speed of railway tracks. Application to case studies

Estaire,

Crespo-Chacón

2024

Transportation Geotechnics

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Prediction of Vibration Induced by High-Speed Train: Consideration of Soil Spatial Variability

Cited by 3 publications

References 1 publication

Predicting ground vibrations from railway tunnels using an improved 2.5D FEM-PML model with soil spatial variability

Predicting ground vibrations from railway tunnels using an improved 2.5D FEM-PML model with soil spatial variability

Modeling of ground vibrations from a tunnel in layered unsaturated soil with spatial variability

On the use of dispersion curves to determine the critical speed of railway tracks. Application to case studies

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