The primary objective of this work is to develop a computationally efficient and accurate approach to a reliability analysis of thermal protection systems using support vector machines. An adaptive sampling approach is introduced, which informs an iterative support vector machine approximation of the limit-state function, which is used for measuring reliability. The proposed sampling approach efficiently adds samples along the limit-state function until the reliability approximation is converged. This methodology is applied to two mathematical functions to test and demonstrate the applicability. Then, the adaptive sampling-based support vector machine approach is applied to the reliability analysis of a thermal protection system. The results of all three problems highlight the potential capability of the new approach in terms of accuracy and computational savings for determining thermal protection system reliability.


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    Titel :

    Reliability-Based Design of Thermal Protection Systems with Support Vector Machines


    Beteiligte:
    White, Laura M. (Autor:in) / West, Thomas K. (Autor:in) / Brune, Andrew J. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.07.2019




    Medientyp :

    Aufsatz (Konferenz) , Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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