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    Novel Intelligent Approach for the Early Warning of Rainfall-Type Landslides Based on the BRB Model 

    Source: International Journal of Geomechanics:;2022:;Volume ( 022 ):;issue: 010:;page 06022027
    Author(s): Man Huang; Hanqian Weng; Chenjie Hong; Xiaobin Xu; Zhigang Tao; Changhong Li; Yixiao Huang
    Publisher: ASCE
    Abstract: This work attempts to apply belief rule-based (BRB) model in information fusion method to landslides, to improve the accuracy and efficiency for early warning of landslides. Taking a typical rainfall-type landslide as the ...
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    Investigation of 3D Printing Sand Core Technology on the Mechanical Behaviors of Soft–Hard Interbedded Rock Masses 

    Source: Journal of Materials in Civil Engineering:;2023:;Volume ( 035 ):;issue: 012:;page 04023440-1
    Author(s): Yun Tian; Faquan Wu; Linkai He; Hongming Tian; Man Huang; Weizhong Chen
    Publisher: ASCE
    Abstract: Three-dimensional (3D) printing has been increasingly applied to experimental research in geotechnical engineering. In this paper, standard cylinder specimens with high and low strength were prepared using 3D-printing sand ...
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    New Statistical Quantification Method for the Size Effect Behavior of Rock Mass Using Compressive Strength as an Example 

    Source: International Journal of Geomechanics:;2022:;Volume ( 022 ):;issue: 011:;page 06022031
    Author(s): Man Huang; Dan Liu; Chenjie Hong; Zhigang Tao; Shigui Du; Yixiao Huang
    Publisher: ASCE
    Abstract: The statistical law on mechanical parameters of rock mass with size is the key to the study of the size effect. Since the existing statistical methods of the size effect only consider the continuity of the size but not the ...
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    Prediction of Peak Shear Strength of Rock Joints Based on Back-Propagation Neural Network 

    Source: International Journal of Geomechanics:;2021:;Volume ( 021 ):;issue: 006:;page 04021085-1
    Author(s): Man Huang; Chenjie Hong; Jie Chen; Chengrong Ma; Changhong Li; Yongliang Huang
    Publisher: ASCE
    Abstract: The shear strength model, a predictive method for effectively characterizing the shear strength of joints, can be used to evaluate the stability of the rock mass. However, the traditional shear model is difficult to apply ...
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