Investigation of saturation effects on vibrations of nearly saturated ground due to moving train loads using 2.5D FEM

Gao, Guanghai; Zhang, Jiyan; Chen, Juan; Bi, Junwei

doi:10.1016/j.soildyn.2022.107288

Cited by 12 publications

(5 citation statements)

References 37 publications

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“…Given the hypothetical scenario in which air exists only in the form of bubbles within groundwater, the water-air mixture can be equated to a homogeneous liquid [5]. Thus, the two-phase porous medium theory can be used.…”

Section: Model Approachmentioning

confidence: 99%

“…Coastal areas always exhibit high water tables, prompting the prevalent utilization of saturated models for ground vibration characteristics [2][3][4]. However, near-saturated ground, containing fewer gas bubbles matches the actual situation [5]. Furthermore, pore gas has a significant effect on wave production and attenuation characteristics.…”

Section: Introductionmentioning

confidence: 99%

“…Fang et al [10] demonstrated the effects of saturation on ground vibrations under HST loading. In a study on near-saturated ground under HST loading, only Gao et al [5] explored the vibration characteristics of near-saturated layered ground using a 2.5D finite element model (2.5D FEM). To date, there has been a dearth of adequate comparative research on ground vibrations between saturated and near-saturated layered soils under different HST loads.…”

Section: Introductionmentioning

confidence: 99%

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Ground vibrations induced by high-speed trains moving on layered near-saturated ground using 2.5D FEM

Geng,

Gao,

Shi

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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An improved 2.5-dimensional finite element model is developed to investigate ground vibrations induced by high-speed trains moving on layered near-saturated soil. The accuracy of the model is validated using a theoretical solution. The effects of the train speed, soil type, and saturation on the vibration acceleration, displacement, and excess pore pressure are evaluated by comparing soft- and hard-layered near-saturated and saturated soil models. The findings suggest that the effect of saturation on the ground vibration acceleration and displacement is minimal when the train speed is below the critical speed of the soil. The vibration acceleration, displacement, and excess pore pressure in the soft-layered soil are higher than those in harder soil. Compared to harder layered soil, saturation has a more prominent influence on vibration acceleration and displacement in softer soil, whereas its influence on excess pore pressure is low. The rebound of the excess pore pressure at the saturated soil interface is more pronounced than that at the near-saturated interface. The effect of saturation on excess pore pressure is independent of the train speed.

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Section: Model Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Ground vibrations induced by high-speed trains moving on layered near-saturated ground using 2.5D FEM

Geng,

Gao,

Shi

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…They also employed automated mesh expansion and verified the accuracy of their results by comparing them with analytical solutions. Gao et al [20] utilized a sophisticated 2.5D finite element analysis to explore the vibrations induced by high-speed trains and observed that the influence of saturation is correlated with train speed and soil structure. Hall [21] extensively analyzed the environmental vibrations caused by trains.…”

Section: Introductionmentioning

confidence: 99%

Research on vibration characteristics of a straddle-type station induced by moving trains

Lu,

Zhu,

Zhou

2024

Eng. Res. Express

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The novelty of straddle-type railway stations as a modern railway infrastructure necessitates thoroughly examining their vibration behavior under high-speed train-induced vibrations. This study focuses on Shangrao station, the inaugural straddle-type high-speed railway station in China, to investigate its vibration properties induced by high-speed trains. A comprehensive finite element model is developed and validated against empirical data to ensure accuracy. The vibration response and propagation patterns induced by railway operations are extensively studied under diverse operational conditions. The results illustrate that the peak acceleration in the vertical (Z) direction significantly exceeds that in the horizontal (X and Y) directions in most test cases. Moreover, under consistent train speed and axle load, the multiple parallel traffic scenario results in higher peak accelerations in all directions compared to the grade separation traffic scenario. Additionally, a positive correlation exists between the railway platform's maximum amplitude, corresponding frequency, and train speed. Furthermore, increased train axle load leads to higher peak accelerations in the station building. The findings of this research offer valuable insights for the predictive modeling and design of high-speed straddle-type railway stations, providing essential technical support for future station projects.

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“…To better understand the vibration source, an improved track vibration model based on the semi-analytical finite element (SAFE) allows multiple layers of support and the accurate shape of the rail cross-section to be considered [17]. Additionally, the influence of the vehicle's speed, observation location, rail irregularity, subgrade bed stiffness, and vehicle type on the ground vibrations are investigated thoroughly with some semi-analytical vehicle-track-ground coupling models [18][19][20]. Since the vibration of the track structure and underlying soil induced by HSR trains differs notably from those caused by lowspeed trains, numerical methods such as the 3D/2.5D finite element method (FEM) [21,22], the FEM-combining boundary element method (FEM-BEM) [23], TLM-perfectly matched layers (TLM-PML) [24], and some hybrid methods [25] have been proposed.…”

Section: Introductionmentioning

confidence: 99%

Experimental Analysis and Machine Learning of Ground Vibrations Caused by an Elevated High-Speed Railway Based on Random Forest and Bayesian Optimization

Cao,

Li,

Xiang

et al. 2023

Sustainability

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With the aim of predicting the environmental vibrations induced by an elevated high-speed railway, a machine learning method was developed by combining a random forest algorithm and Bayesian optimization, using a dataset from on-site experiments. When it comes to achieving a rapid and effective prediction of environmental vibrations, there is little research on comparisons between and verifications of different algorithms, and none on the parameter tuning and optimization of machine learning algorithms. In this paper, a field experiment is firstly carried out to measure the ground vibrations caused by high-speed trains running on a bridge, and then the environmental vibration characteristics are analyzed in view of ground accelerations and weighted vibration levels. Subsequently, three machine learning algorithms using linear regression, support vector machine, and random forest are developed using an experimental database, and their prediction performance is discussed. Finally, two optimization models for the hyperparameter set of the random forest algorithm are further compared. The results show that the integrated random forest algorithm has a higher accuracy in predicting environmental vibrations than linear regression and the support vector machine; the Bayesian optimization has an excellent performance and a high efficiency in achieving efficient and in-depth optimization of parameters and can be combined with the RF machine learning algorithm to effectively predict the environmental vibrations induced by the high-speed railway.

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Investigation of saturation effects on vibrations of nearly saturated ground due to moving train loads using 2.5D FEM

Cited by 12 publications

References 37 publications

Ground vibrations induced by high-speed trains moving on layered near-saturated ground using 2.5D FEM

Ground vibrations induced by high-speed trains moving on layered near-saturated ground using 2.5D FEM

Research on vibration characteristics of a straddle-type station induced by moving trains

Experimental Analysis and Machine Learning of Ground Vibrations Caused by an Elevated High-Speed Railway Based on Random Forest and Bayesian Optimization

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