Inconsistent effect of dynamic load waveform on macro- and micro-scale responses of ballast bed characterized in individual cycle: a numerical study

Longlong Fu, Yuexiao Zheng, Yongjia Qiu, Shunhua Zhou

Railway Engineering Science ›› 2023, Vol. 31 ›› Issue (4) : 370-380.

Railway Engineering Science ›› 2023, Vol. 31 ›› Issue (4) : 370-380. DOI: 10.1007/s40534-023-00310-8
Article

Inconsistent effect of dynamic load waveform on macro- and micro-scale responses of ballast bed characterized in individual cycle: a numerical study

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Abstract

Cyclic load is widely adopted in laboratory to simulate the effect of train load on ballast bed. The effectiveness of such load equivalence is usually testified by having similar results of key concerns of ballast bed, such as deformation or stiffness, while the consistency of particle scale characteristics under two loading patterns is rarely examined, which is insufficient to well-understand and use the load simplification. In this study, a previous laboratory model test of ballast bed under cyclic load is rebuilt using 3D discrete element method (DEM), which is validated by dynamic responses monitored by high-resolution sensors. Then, train load having the same magnitude and amplitude as the cyclic load is applied in the numerical model to obtain the statistical characteristics of inter-particle contact force and particle movements in ballast bed. The results show that particle scale responses under two loading patterns could have quite deviation, even when macro-scale responses of ballast bed under two loading patterns are very close. This inconsistency indicates that the application scale of the DEM model should not exceed the validation scale. Moreover, it is important to examine multiscale responses to validate the effectiveness of load simplification.

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Longlong Fu, Yuexiao Zheng, Yongjia Qiu, Shunhua Zhou. Inconsistent effect of dynamic load waveform on macro- and micro-scale responses of ballast bed characterized in individual cycle: a numerical study. Railway Engineering Science, 2023, 31(4): 370‒380 https://doi.org/10.1007/s40534-023-00310-8

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Funding
Natural Science Foundation of Shanghai(21ZR1465400)

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