IMPROVEMENT OF EMPIRICAL PREDICTION METHOD OF TRAIN-INDUCED GROUND VIBRATIONS IN VIADUCT SECTIONS

This paper aims to improve the accuracy of an empirical method for predicting train-induced ground vibration in viaduct sections. We first investigated values of distance attenuation on surface ground in the cases with/without considering dynamic characteristics of a viaduct foundation using a numerical simulation. Secondly, a formula to estimate the correction value of the distance attenuation that is used by the empirical prediction method was proposed based on the simulation results. Finally, the applicability of the formula was investigated by comparing with field measurement records. The result showed that the prediction accuracy is improved by using the proposed formula.

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Publication Details

Journal
Journal of Environmental Engineering (Transactions of AIJ)
Published
2025-11-30
DOI
https://doi.org/10.3130/aije.90.559
Primary Topic
Railway Engineering and Dynamics
Type
article
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article

IMPROVEMENT OF EMPIRICAL PREDICTION METHOD OF TRAIN-INDUCED GROUND VIBRATIONS IN VIADUCT SECTIONS

Masanori NOYORI, Hidefumi YOKOYAMA
Journal of Environmental Engineering (Transactions of AIJ)
Railway Engineering and Dynamics
article

IMPROVEMENT OF EMPIRICAL PREDICTION METHOD OF TRAIN-INDUCED GROUND VIBRATIONS IN VIADUCT SECTIONS

Masanori NOYORI, Hidefumi YOKOYAMA
article en

Abstract

This paper aims to improve the accuracy of an empirical method for predicting train-induced ground vibration in viaduct sections. We first investigated values of distance attenuation on surface ground in the cases with/without considering dynamic characteristics of a viaduct foundation using a numerical simulation. Secondly, a formula to estimate the correction value of the distance attenuation that is used by the empirical prediction method was proposed based on the simulation results. Finally, the applicability of the formula was investigated by comparing with field measurement records. The result showed that the prediction accuracy is improved by using the proposed formula.

Journal of Environmental Engineering (Transactions of AIJ)Vol. 90(838)
Railway Technical Research Institute (JP)
Openalex Percentile: Top 61%
Railway Engineering and Dynamics
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