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The dynamic response characteristic of rockfall impact cushion is the key basis of rock-shed design. As an important feature of cushion particle size distribution,gradation determines the distribution of particle size and affects the dynamic process of rockfall impact cushion. To study the influence of particle gradation on the dynamic response of rockfall impact cushion,the numerical simulation of the dynamic response of cushion with different gradations is carried out by using a discrete element-finite difference coupling algorithm. Under the condition that the average particle size is equal,through the analysis of impact force,central compressive stress,and impact depth of falling rock,the dynamic response mechanism of rockfall impact particle cushion is revealed. The results show that: the stability of the force chain between particles determines the dynamic response characteristics of the cushion after impact. The friction between particles is the main way of energy consumption,accounting for 70%–80% of the energy consumption. For single-peak grading,the smaller the particle size of the single peak is,the longer the force chain length is,and the weaker the stability is. When the peak particle size dt = 75 mm,the peak impact force is 1.9 times that of dt = 25 mm,and the peak compressive stress is 3.6 times. For bimodal gradation,the closer the distance between the two peaks is,the less the number of constraints around the particles is,and the worse the stability of the force chain is. When the heterogeneity coefficient He = 0.65,the peak impact force is 40% larger than that when He = 0.33,and the peak compressive stress is 30% larger. The uniformity of particle distribution determines the response characteristics of the cushion after impact. © 2023 Academia Sinica. All rights reserved.
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Chinese Journal of Rock Mechanics and Engineering
ISSN: 1000-6915
Year: 2023
Issue: 2
Volume: 42
Page: 413-428
Cited Count:
WoS CC Cited Count: 0
SCOPUS Cited Count: 3
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 7
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