Intelligent prediction of deep rock strength based on modified three-dimensional Hoek-Brown criterion 认领被引量：1

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摘要 To study the deep rock strength,this paper proposes a five-parameter deviatoric function to modify the deviato...展开更多

作者 Jiaxin Wang Hongru Jiang Shunchuan Wu Shihuai Zhang Chaoqun Chu Xiaoping Zhang Yingming Xiao

机构地区 Faculty of Land Resource Engineering,Kunming University of Science and Technology Key Laboratory of Geohazard Forecast and Geoecological Restoration in Plateau Mountainous Area,Ministry of Natural Resources of the Peoples Republic ofChina Yunnan Key Laboratory of Geohazard Forecast and Geoecological Restoration in Plateau Mountainous Area School of Earth and Space Sciences,University of Science and Technology of China School of Civil and Resource Engineering,University of Science and Technology Beijing School of Civil Engineering,Wuhan University School of Civil Engineering,Central South University

出处《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2026年第7期2454-2472,I0020-I0030,共19页 矿物冶金与材料学报（英文版）

基金 financially supported by the National Natural Science Foundation of China(Nos.42567024 and 52334004) the Yunnan Fundamental Research Projects,China(No.202401BE070001-051) the Yunnan Major Scientific and Technological Projects,China(No.202602AG050013) the Key Laboratory of Geohazard Forecast and Geoecological Restoration in Plateau Mountainous Area,MNR,China the Yunnan Key Laboratory of Geohazard Forecast and Geoecological Restoration in Plateau Mountainous Area,China。

关键词 rock strength Hoek-Brown criterion Intermediate principal stress intelligent optimization algorithm intelligent predictionsystem

分类号 TU45 [建筑科学—岩土工程]

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