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    TransModel-BSDL: Bayesian Sparse Dictionary Learning for Development of Site-Specific Transformation Models Using Limited Data and a Database of Existing Models 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2025:;Volume ( 011 ):;issue: 003:;page 04025038-1
    Author(s): Hua-Ming Tian; Yu Wang
    Publisher: American Society of Civil Engineers
    Abstract: Determination of soil design parameters at a specific site is a long-lasting challenge in geotechnical practice, because design parameters are generally not measured directly but estimated from limited measured data using ...
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    Construction of Quasi-Site-Specific Geotechnical Transformation Models Using Bayesian Sparse Dictionary Learning 

    Source: Journal of Geotechnical and Geoenvironmental Engineering:;2025:;Volume ( 151 ):;issue: 001:;page 04024147-1
    Author(s): Hua-Ming Tian; Yu Wang; Kok-Kwang Phoon
    Publisher: American Society of Civil Engineers
    Abstract: Transformation models commonly are used in geotechnical practice to estimate design parameters (e.g., friction angle ϕ) required for geotechnical design and analysis from measurement data obtained from laboratory or ...
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    DSpace software copyright © 2002-2015  DuraSpace
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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
    yabeshDSpacePersian