Prediction on soil-ground vibration induced by high-speed moving train based on artificial neural network model

Fang, Lian-Hua; Yao, Jinbao; Xia, He

doi:10.1177/1687814019847290

Cited by 17 publications

(7 citation statements)

References 20 publications

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“…In this paper, the DNN model is used to simulate the nonlinear relationship between train-induced vibration and various condition variables. Referring to existing research (Connolly et al, 2014a; Fang et al, 2019), four variables were considered as inputs to the model, which are train speed, tunnel depth, the mean dynamic modulus of the soil, and horizontal distance from the measurement point to the vibration source, as these variables have the greatest effect on the magnitude of the train-induced vibration and can be easily quantified.…”

Section: Details Of the Proposed Methodsmentioning

confidence: 99%

A novel efficient probabilistic prediction approach for train-induced ground vibrations based on transfer learning

Liang

Liu

et al. 2023

Journal of Vibration and Control

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To deal with the issues of high computational cost and prediction uncertainty of numerical models in train-induced ground-borne vibration prediction, a prediction method based on transfer learning is proposed in this study. In this method, the vehicle–track-coupled analytical model and three-dimensional finite element model are first used to calculate the train-induced ground vibration under various condition variables, and these data were used as training samples to pre-train the deep neural network models. Numerous train-induced ground vibration experiments were then conducted along the metro lines in Beijing, and those measured vibration data were used to fine-tune the pre-trained deep neural network model with the transfer learning strategy. A random variable obeying a Gaussian distribution is assumed over the predicted vibration acceleration levels to model the randomness of train-induced vibration, and the parameters of this distribution were determined by the statistical results of vibration monitoring data in the metro tunnels. The fully trained model could complete the prediction of train-induced ground vibration in seconds. Finally, a case study was carried out, by comparing the probabilistic prediction results with the statistical results of the field measurements, and the feasibility and the improvement of the proposed method were demonstrated.

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Section: Details Of the Proposed Methodsmentioning

confidence: 99%

A novel efficient probabilistic prediction approach for train-induced ground vibrations based on transfer learning

Liang

Liu

et al. 2023

Journal of Vibration and Control

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“…They thus proved that the first natural frequency of the girder beam with elastic bearing and the first natural frequency of pier beam supported by pile foundation could be the two important modal parameters of the superstructure dominating the ground displacement response. Moreover, Fang et al 103 employed an artificial NN and proposed a numerical model to predict the acceleration vibration level in the railway foundation under passing HSTs. They similarly used a numerical model and experimental data to train the artificial NN.…”

Section: Issues Indirectly Related To Train Vibration Controlmentioning

confidence: 99%

A combined review of vibration control strategies for high-speed trains and railway infrastructures: Challenges and solutions

Zhang

Kordestani

Shadabfar

2022

Journal of Low Frequency Noise, Vibration and Active Control

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People use trains as a means of transportation to travel to various nearby and distant destinations, resulting in an increasing amount of time spent inside such vehicles. Consequently, railway transportation sectors are focusing significantly more on enhancing passengers’ demand and level of satisfaction, including but not limited to high-speed travel, safety, and riding comfort. This paper provides a state-of-the-art review of available solutions for reducing undesired vibrations that have a substantial impact on improving the critical velocity limits of trains, maintaining the quality of riding comfort, and resolving safety concerns. In this regard, the solutions proposed for train vibration control are divided into two main categories: direct and indirect solutions. The direct solutions are those methods that are applied directly to trains’ bodies or bogies to attenuate the undesired vibrations, for example, improving the suspension/damper system, implementing active/semi-active control strategies, or applying various carriage optimization design modifications. Indirect solutions, on the other hand, are those that could indirectly affect trains’ vibrations, for example, controlling vibrations in railway bridge structures during train passages. Since the identification of vibration characteristics is assumed to be the first step in choosing proper solutions, particularly for active or semi-active control implementations, this review has examined the literature pertinent to modal identification of trains and railway infrastructures. Additionally, despite the installation of dampers between the bogie and suspension, the train’s equation of motion, and consequently, the vibration control of the bogie, has relied on the sky-hook model for decades. The fundamental problem for systems whose control strategies are based on the sky-hook concept is that the ‘sky’ does not actually exist. A solution to solve the sky-hook logic issue is using tuned rotatory inertia dampers and active rotatory inertia drivers which is addressed in this paper as well. Finally, it is concluded that these three solutions – employing a suspension/damper system in the bogie, an elastic connection for the train’s under-chassis-suspended equipment, and a ballastless railway – can practically mitigate vibration and noise in a train.

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“…С быстрым развитием городской застройки, проблемы вибрации, передаваемой на здания и сооружения, вызванные движением поездов метрополитена неглубокого заложения, становятся все более заметными. В то же время, по мере того как потребность людей в улучшении качества жизни продолжает расти, все более высокие требования предъявляются к защите от вибраций, вызванных внешними факторами, а исследования экологических проблем, вызванных вибрациями поездов привлекли значительное внимание ученых [1][2][3][4].…”

Section: Introductionunclassified

Finite Element Modelling of Rubber-Metal Vibration Isolators with Holes for the Vibration Protection System of Buildings

Mondrus,

Sizov,

Kvasnikov

2023

RST

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The article presents a calculation of rubber-metal vibration isolators with five holes of different diameters using a software package that implements the finite element method. A comparative analysis of the Eigen frequencies of rubber-metal vibration isolators with five holes (one in the center, 4 symmetrically at the corners) and without holes is presented. Finite element models of a rubber-metal vibration isolator with and without holes are modeled, and their characteristics are analyzed. The results show that vibration isolators with several symmetrically located holes have several advantages in a number of parameters to vibration isolators without holes, and, therefore, can be used for vibration isolation of buildings, especially in the case of delayed installation of vibration protection.

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Prediction on soil-ground vibration induced by high-speed moving train based on artificial neural network model

Cited by 17 publications

References 20 publications

A novel efficient probabilistic prediction approach for train-induced ground vibrations based on transfer learning

A novel efficient probabilistic prediction approach for train-induced ground vibrations based on transfer learning

A combined review of vibration control strategies for high-speed trains and railway infrastructures: Challenges and solutions

Finite Element Modelling of Rubber-Metal Vibration Isolators with Holes for the Vibration Protection System of Buildings

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