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    Efficient Evaluation of Reliability for Slopes with Circular Slip Surfaces Using Importance Sampling 

    Source: Journal of Geotechnical and Geoenvironmental Engineering:;2009:;Volume ( 135 ):;issue: 006
    Author(s): Jianye Ching; Kok-Kwang Phoon; Yu-Gang Hu
    Publisher: American Society of Civil Engineers
    Abstract: Evaluating the reliability of a slope is a challenging task because the possible slip surface is not known beforehand. Approximate methods via the first-order reliability method provide efficient ways of evaluating failure ...
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    Observations on Limit Equilibrium–Based Slope Reliability Problems with Inclined Weak Seams 

    Source: Journal of Engineering Mechanics:;2010:;Volume ( 136 ):;issue: 010
    Author(s): Jianye Ching; Kok-Kwang Phoon; Yu-Gang Hu
    Publisher: American Society of Civil Engineers
    Abstract: This study addresses the complexity of slope reliability problems based on limit equilibrium methods (LEMs). The main focus is on the existence of multiple failure modes that poses difficulty to many LEM-based slope ...
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    Prediction of Fake Toll-Free Logistic Vehicles Based on Historical Traffic Data 

    Source: Journal of Highway and Transportation Research and Development (English Edition):;2021:;Volume ( 015 ):;issue: 002:;page 54-64-1
    Author(s): Yu-gang Liu; Shuai Zheng; Xu-dong Xu; Tian-bi Wang; Jin-song Ye
    Publisher: ASCE
    Abstract: At present, the green channel policy is fully implemented. However, the detection is relatively lagging, and truck drivers are susceptible to fake the toll-free logistics vehicles (TFLVs), causing huge losses to the ...
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    Scenario Modeling for Urban Road Emergency Management: A Cognitive Digital Twin–Based Method 

    Source: Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 005:;page 04025058-1
    Author(s): Yu, Gang; Li, Jialin; Xiong, Jing; Hu, Min; Zeng, Ruoceng; Sugumaran, Vijayan
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe cognitive digital twin (CDT) concept provides a promising way to organize and integrate the full life-cycle data of urban road emergency scenarios, as well as facilitate scenario deduction and prediction. The ...
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