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Shunchuan Wu, Jiaxin Wang, Shihuai Zhang, Shigui Huang, Lei Xia, and Qianping Zhao, Retrospective and prospective review of the generalized nonlinear strength theory for geomaterials, Int. J. Miner. Metall. Mater., 31(2024), No. 8, pp.1767-1787. https://dx.doi.org/10.1007/s12613-024-2929-1
Shunchuan Wu, Jiaxin Wang, Shihuai Zhang, Shigui Huang, Lei Xia, and Qianping Zhao, Retrospective and prospective review of the generalized nonlinear strength theory for geomaterials, Int. J. Miner. Metall. Mater., 31(2024), No. 8, pp.1767-1787. https://dx.doi.org/10.1007/s12613-024-2929-1
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岩土材料广义非线性强度理论的回顾及展望

摘要: 强度理论是土木、水利、机械、航空、军工等工程材料强度计算和设计的基础理论,因此,开展岩土材料广义非线性强度理论(GNST)研究对工程岩体强度的构建具有重要参考意义。为探索复杂应力路径下岩土材料的非线性强度特征,本文开展了岩土材料GNST的综述工作。首先,系统地阐述了GNST(包括经典和经验准则)的研究进展;然后,介绍了笔者近5年开展的GNST最新研究工作,提出一种真正意义上的广义三维非线性Hoek‒Brown准则(NGHB准则),该准则可退化为现有的3种修正HB准则,且具有良好的预测性能,6种完整岩石和2种原位岩体的强度预测误差分别在2.0724%~3.5091%和1.0144%~3.2321%的范围内;最后,论述了GNST的发展和展望,提出了构建岩体强度指标以及确定原位工程岩体强度的新课题,开展GNST综述为构建原位工程岩体强度提供理论溯源和优选。

 

Retrospective and prospective review of the generalized nonlinear strength theory for geomaterials

Abstract: Strength theory is the basic theory for calculating and designing the strength of engineering materials in civil, hydraulic, mechanical, aerospace, military, and other engineering disciplines. Therefore, the comprehensive study of the generalized nonlinear strength theory (GNST) of geomaterials has significance for the construction of engineering rock strength. This paper reviews the GNST of geomaterials to demonstrate the research status of nonlinear strength characteristics of geomaterials under complex stress paths. First, it systematically summarizes the research progress of GNST (classical and empirical criteria). Then, the latest research the authors conducted over the past five years on the GNST is introduced, and a generalized three-dimensional (3D) nonlinear Hoek‒Brown (HB) criterion (NGHB criterion) is proposed for practical applications. This criterion can be degenerated into the existing three modified HB criteria and has a better prediction performance. The strength prediction errors for six rocks and two in-situ rock masses are 2.0724%–3.5091% and 1.0144%–3.2321%, respectively. Finally, the development and outlook of the GNST are expounded, and a new topic about the building strength index of rock mass and determining the strength of in-situ engineering rock mass is proposed. The summarization of the GNST provides theoretical traceability and optimization for constructing in-situ engineering rock mass strength.

 

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