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    Analysis of Three Bridges That Exhibited Various Performance Levels in Liquefied and Laterally Spreading Ground 

    Source: Journal of Geotechnical and Geoenvironmental Engineering:;2013:;Volume ( 139 ):;issue: 007
    Author(s): Scott J.; Brandenberg; Minxing; Zhao; Pirooz; Kashighandi
    Publisher: American Society of Civil Engineers
    Abstract: Three bridges supported on deep foundations that exhibited various performance levels in liquefied and laterally spreading ground are analyzed using a beam on nonlinear Winkler foundation method. The performance levels ...
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    p-y Plasticity Model for Nonlinear Dynamic Analysis of Piles in Liquefiable Soil 

    Source: Journal of Geotechnical and Geoenvironmental Engineering:;2013:;Volume ( 139 ):;issue: 008
    Author(s): Scott J; Brandenberg; Minxing; Zhao; Ross W; Boulanger; Daniel W; Wilson
    Publisher: American Society of Civil Engineers
    Abstract: Liquefiable soil-structure interaction material models are developed and implemented in the open-source finite-element modeling platform
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    Effective Anaerobic Bio-Treatment of Fresh Leachate From Municipal Solid Waste Incineration Plant by Full-Scale Internal Circulation Reactor 

    Source: Journal of Energy Resources Technology:;2019:;volume( 141 ):;issue: 004:;page 42005
    Author(s): Wang, Tao; Huang, Zhenxing; Ren, Hongyan; Miao, Hengfeng; Zhao, Minxing; Ruan, Wenquan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This study aimed to investigate the effectiveness of the full-scale internal circulation (IC) reactor in biodegrading of municipal solid waste (MSW) fresh leachate under mesophilic conditions, where the anaerobic process ...
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    Addressing Data Scarcity in GPR Road Defect Detection: A Novel Framework Combining Stable Diffusion and Efficient GCP-YOLO 

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 005:;page 04026073-1
    Author(s): Cui, Minxing; Du, Yanliang; Wu, Difei; Sun, Lijun; Yan, Yu
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe application of deep learning to ground penetrating radar (GPR) detection of urban road subsurface defects is often limited by the scarcity of real-world data and high computational costs. To address this, we ...
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