Nowadays, we are facing the increasing necessity of dealing with uncertainties in many different engineering fields, together with the constant development of computational capabilities. Current solvers must satisfy both statistical convergence and computational efficiency. This chapter aims to apply a specific Monte Carlo algorithm, developed to run in modern supercomputers, to wind engineering. In particular, we focus on the variability estimation of relevant parameters, such as the drag force, building base moment, and pressure coefficient.


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    Titel :

    Scalable Dynamic Asynchronous Monte Carlo Framework Applied to Wind Engineering Problems


    Weitere Titelangaben:

    Space Technol.Proceedings


    Beteiligte:
    Vasile, Massimiliano (Herausgeber:in) / Quagliarella, Domenico (Herausgeber:in) / Tosi, Riccardo (Autor:in) / Nuñez, Marc (Autor:in) / Keith, Brendan (Autor:in) / Pons-Prats, Jordi (Autor:in) / Wohlmuth, Barbara (Autor:in) / Rossi, Riccardo (Autor:in)

    Kongress:

    International Conference on Uncertainty Quantification & Optimisation ; 2020 ; Brussels, Belgium November 17, 2020 - November 20, 2020



    Erscheinungsdatum :

    16.07.2021


    Format / Umfang :

    14 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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