https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Ayoul-Guilmard_et_al_2022aAyoul-Guilmard et al 2022a - Revision history2026-04-11T12:53:39ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Ayoul-Guilmard_et_al_2022a&diff=237504&oldid=prevJSanchez: JSanchez moved page Draft Sanchez Pinedo 161965459 to Ayoul-Guilmard et al 2022a2022-03-17T10:15:09Z<p>JSanchez moved page <a href="/public/Draft_Sanchez_Pinedo_161965459" class="mw-redirect" title="Draft Sanchez Pinedo 161965459">Draft Sanchez Pinedo 161965459</a> to <a href="/public/Ayoul-Guilmard_et_al_2022a" title="Ayoul-Guilmard et al 2022a">Ayoul-Guilmard et al 2022a</a></p>
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</td></tr></table>JSanchezhttps://www.scipedia.com/wd/index.php?title=Ayoul-Guilmard_et_al_2022a&diff=237503&oldid=prevJSanchez: Created page with " == Abstract == <p>We study the use of multi-level Monte Carlo methods for wind engineering. This report brings together methodological research on uncertainty quantification..."2022-03-17T10:15:06Z<p>Created page with " == Abstract == <p>We study the use of multi-level Monte Carlo methods for wind engineering. This report brings together methodological research on uncertainty quantification..."</p>
<p><b>New page</b></p><div><br />
== Abstract ==<br />
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<p>We study the use of multi-level Monte Carlo methods for wind engineering. This report brings together methodological research on uncertainty quantification and work on target applications of the ExaQUte project in wind and civil engineering.<br><br />
First, a multi-level Monte Carlo for the estimation of the conditional value at risk and an adaptive algorithm are presented. Their reliability and performance are shown on the time-average of a non-linear oscillator and on the lift coefficient of an airfoil, with both preset and adaptively refined meshes. Then, we propose an adaptive multi-fidelity Monte Carlo algorithm for turbulent fluid flows where multilevel Monte Carlo methods were found to be inefficient. Its efficiency is studied and demonstrated on the benchmark problem of quantifying the uncertainty on the drag force of a tall building under random turbulent wind conditions.<br><br />
All numerical experiments showcase the open-source software stack of the ExaQUte project for large-scale computing in a distributed environment.</p><br />
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== Full document ==<br />
<pdf>Media:Draft_Sanchez Pinedo_161965459-8474-document.pdf</pdf></div>JSanchez