2024
DOI: 10.1063/5.0216408
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Prediction of force chains for dense granular flows using machine learning approach

Ching-Hung Cheng,
Cheng-Chuan Lin

Abstract: Force chain networks among particles play a crucial role in understanding and modeling dense granular flows, with widespread applications ranging from civil engineering structures to assessing geophysical hazards. However, experimental measurement of microscale interparticle contact forces in dense granular flows is often impractical, especially for highly complex granular flow systems. On the other hand, discrete-based simulation approaches suffer from extremely high computational costs. Thus, this study prop… Show more

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