Discrete element method hypoplasticity data for data-driven causal relation discovery

Published: 9 November 2020| Version 1 | DOI: 10.17632/755bk3tvz9.1
Contributors:
Nikolaos N. Vlassis, Bahador Bahmani, WaiChing Sun

Description

This data set contains 60 true triaxial discrete element method simulations performed on granular material used for data-driven causal relation discovery.

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Institutions

  • Columbia University
  • Johns Hopkins University

Categories

Granular Material, Discrete Element Method

Licence