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    Comparative Study of Kriging and Support Vector Regression for Structural Engineering Applications 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2018:;Volume ( 004 ):;issue: 002
    Author(s): Moustapha Maliki;Bourinet Jean-Marc;Guillaume Benoît;Sudret Bruno
    Publisher: American Society of Civil Engineers
    Abstract: Metamodeling techniques have been widely used as substitutes for high-fidelity and time-consuming models in various engineering applications. Examples include polynomial chaos expansions, neural networks, kriging, and ...
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    Identification of Crashworthy Designs Combining Active Learning and the Solution Space Methodology 

    Source: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2024:;volume( 011 ):;issue: 001:;page 11201-1
    Author(s): Ascia, Paolo; Marelli, Stefano; Sudret, Bruno; Duddeck, Fabian
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This study introduces a novel methodology for vehicle development under crashworthiness constraints. We propose coupling the solution space method (SSM) with active learning reliability (ALR) to map global requirements, ...
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