Ontology highlight
ABSTRACT:
SUBMITTER: Chen J
PROVIDER: S-EPMC6594615 | biostudies-literature | 2019
REPOSITORIES: biostudies-literature
Chen Jianhong J Chen Yi Y Yang Shan S Zhong Xudong X Han Xu X
PloS one 20190626 6
Rockburst is a common dynamic disaster in deep underground engineering. To accurately predict rockburst intensity grade, this study proposes a novel rockburst prediction model based on variable weight and matter-element extension theory. In the proposed model, variable weight theory is used to optimize the weights of prediction indexes. Matter-element extension theory and grade variable method are used to calculate the grade variable interval corresponding to the classification standard of rockb ...[more]