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    Slope Reliability Analysis Using a Convolutional Neural Networks Surrogate Model with Emphasis on the Nonstationary Spatial Variability of Soil Properties 

    Source: International Journal of Geomechanics:;2026:;Volume ( 026 ):;issue: 002:;page 04025338-1
    Author(s): Zhang, Sheng; Ding, Li; Yang, Rui; Zhang, Feng; Tong, Chen-Xi
    Publisher: American Society of Civil Engineers
    Abstract: Abstract Slope reliability analysis has always been a research focus for geotechnical engineers. Currently, most studies use stationary random fields to simulate the spatial variability of soil parameters. However, many ...
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    Enhancing Empirical Predictions from CPTU Data Using a Hierarchical Bayesian Framework with Adaptive Model Weighting 

    Source: Journal of Geotechnical and Geoenvironmental Engineering:;2026:;Volume ( 152 ):;issue: 008:;page 04026058-1
    Author(s): Xiong, Haibin; Dai, Shaoheng; Shan, Feng; He, Xuzhen; Tong, Chenxi; Zhang, Sheng; Sheng, Daichao
    Publisher: American Society of Civil Engineers
    Abstract: AbstractEmpirical correlations are extensively employed in geotechnical engineering for their practical simplicity, yet their deterministic nature and neglect of inherent uncertainties often constrain their predictive ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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