Applications of multifidelity reduced order modeling to single and multiphysics nonlinear structural problems

The present investigation focuses on the response of uncertain structures that are excited well beyond their linear regime so that significant nonlinear geometric effects take place. Such situations may occur due to the application of large mechanical loads but also, and especially, when the structu...

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Autores principales:	X.Q. Wang, P. Song, M.P. Mignolet
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Multifidelity modeling Reduced order modeling Monte Carlo simulation Uncertain structures Aeroelasticity Heated structures Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/591985485f4946b4b66b42071a864573
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spelling	oai:doaj.org-article:591985485f4946b4b66b42071a8645732021-12-01T05:05:54ZApplications of multifidelity reduced order modeling to single and multiphysics nonlinear structural problems2666-496810.1016/j.apples.2021.100035https://doaj.org/article/591985485f4946b4b66b42071a8645732021-03-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2666496821000017https://doaj.org/toc/2666-4968The present investigation focuses on the response of uncertain structures that are excited well beyond their linear regime so that significant nonlinear geometric effects take place. Such situations may occur due to the application of large mechanical loads but also, and especially, when the structure is part of a multiphysics problem, e.g., coupled to aerodynamics and/or heating. It is demonstrated here that the computational burden associated with the prediction of the statistics of the response can be dramatically reduced by combining nonlinear reduced order modeling and multifidelity Monte Carlo (MFMC) simulation. The MFMC approach combines the simulations of several different models of different fidelity to accurately estimates the desired statistics. This approach is well suited to reduced order models where different fidelities are easily obtained with different number of basis functions. Three such nonlinear applications are considered the first of which is a purely structural problem. The second one is a multiphysics problem, a panel undergoing a simulated high speed trajectory with aerodynamic-structural-thermal coupling. The third application is also multiphysics and focuses on the limit cycle oscillation behavior of a wing past flutter due to structural nonlinearity. In all of these applications, the MFMC performed very well leading to accurate predictions of the statistics of the response at a reduced/much reduced computational cost.X.Q. WangP. SongM.P. MignoletElsevierarticleMultifidelity modelingReduced order modelingMonte Carlo simulationUncertain structuresAeroelasticityHeated structuresEngineering (General). Civil engineering (General)TA1-2040ENApplications in Engineering Science, Vol 5, Iss , Pp 100035- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Multifidelity modeling Reduced order modeling Monte Carlo simulation Uncertain structures Aeroelasticity Heated structures Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Multifidelity modeling Reduced order modeling Monte Carlo simulation Uncertain structures Aeroelasticity Heated structures Engineering (General). Civil engineering (General) TA1-2040 X.Q. Wang P. Song M.P. Mignolet Applications of multifidelity reduced order modeling to single and multiphysics nonlinear structural problems
description	The present investigation focuses on the response of uncertain structures that are excited well beyond their linear regime so that significant nonlinear geometric effects take place. Such situations may occur due to the application of large mechanical loads but also, and especially, when the structure is part of a multiphysics problem, e.g., coupled to aerodynamics and/or heating. It is demonstrated here that the computational burden associated with the prediction of the statistics of the response can be dramatically reduced by combining nonlinear reduced order modeling and multifidelity Monte Carlo (MFMC) simulation. The MFMC approach combines the simulations of several different models of different fidelity to accurately estimates the desired statistics. This approach is well suited to reduced order models where different fidelities are easily obtained with different number of basis functions. Three such nonlinear applications are considered the first of which is a purely structural problem. The second one is a multiphysics problem, a panel undergoing a simulated high speed trajectory with aerodynamic-structural-thermal coupling. The third application is also multiphysics and focuses on the limit cycle oscillation behavior of a wing past flutter due to structural nonlinearity. In all of these applications, the MFMC performed very well leading to accurate predictions of the statistics of the response at a reduced/much reduced computational cost.
format	article
author	X.Q. Wang P. Song M.P. Mignolet
author_facet	X.Q. Wang P. Song M.P. Mignolet
author_sort	X.Q. Wang
title	Applications of multifidelity reduced order modeling to single and multiphysics nonlinear structural problems
title_short	Applications of multifidelity reduced order modeling to single and multiphysics nonlinear structural problems
title_full	Applications of multifidelity reduced order modeling to single and multiphysics nonlinear structural problems
title_fullStr	Applications of multifidelity reduced order modeling to single and multiphysics nonlinear structural problems
title_full_unstemmed	Applications of multifidelity reduced order modeling to single and multiphysics nonlinear structural problems
title_sort	applications of multifidelity reduced order modeling to single and multiphysics nonlinear structural problems
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/591985485f4946b4b66b42071a864573
work_keys_str_mv	AT xqwang applicationsofmultifidelityreducedordermodelingtosingleandmultiphysicsnonlinearstructuralproblems AT psong applicationsofmultifidelityreducedordermodelingtosingleandmultiphysicsnonlinearstructuralproblems AT mpmignolet applicationsofmultifidelityreducedordermodelingtosingleandmultiphysicsnonlinearstructuralproblems
_version_	1718405541547474944

Applications of multifidelity reduced order modeling to single and multiphysics nonlinear structural problems

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