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    Uncovering Complex Dam Failure Consequences: A Hybrid Gray–Fuzzy Assessment Framework for Hazard-Prone Reservoirs 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2026:;Volume ( 012 ):;issue: 002:;page 04026011-1
    Author(s): Yin, Qiaogang; Li, Yanlong; Wen, Lifeng; Zhang, Ye
    Publisher: American Society of Civil Engineers
    Abstract: AbstractAccurately assessing the consequences of dam failure is a critical yet challenging task in modern dam risk management, especially for aging dams under increasingly extreme climates. Traditional assessment methods ...
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    An Intelligent Method for Identifying and Analyzing PCCP Wire-Break Signals Based on Prototype Testing and an Ensemble Deep Learning Model 

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 003:;page 04026014-1
    Author(s): Zhang, Ye; Yuan, Simin; Li, Yanlong; Li, Kangping; Zhou, Heng; Sun, Kaiyu
    Publisher: American Society of Civil Engineers
    Abstract: AbstractWire breakage is the predominant cause of failure in prestressed concrete cylinder pipe (PCCP) within water diversion and transfer projects. This paper employs deep learning models to extract signal features and ...
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    Nonlinear Anisotropic Seepage Characteristics and Energy Loss Study of Single Dislocated Rock Fracture 

    Source: Journal of Hydrologic Engineering:;2026:;Volume ( 031 ):;issue: 002:;page 04025059-1
    Author(s): Cao, Cheng; Zhang, Zhihua; Xu, Zengguang; Chai, Junrui; Li, Yanlong; Li, Ning; Yang, Shuo
    Publisher: American Society of Civil Engineers
    Abstract: AbstractNatural, rough rock-mass fracture surfaces exhibit significant anisotropic properties. In addition, dislocation displacement and aperture variation have a significant impact on the complexity of the fracture seepage ...
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