Optimizing fluid–structure interaction systems with immersogeometric analysis and surrogate modeling: Application to a hydraulic arresting gear

dc.contributor.author Wu, Michael
dc.contributor.author Kamensky, David
dc.contributor.author Wang, Chenglong
dc.contributor.author Herrema, Austin
dc.contributor.author Xu, Fei
dc.contributor.author Pigazzini, Marco
dc.contributor.author Verma, Aekaansh
dc.contributor.author Marsden, Alison `
dc.contributor.author Bazilevs, Yuri
dc.contributor.author Hsu, Ming-Chen
dc.contributor.department Mechanical Engineering
dc.date 2018-01-25T21:59:40.000
dc.date.accessioned 2020-06-30T06:04:21Z
dc.date.available 2020-06-30T06:04:21Z
dc.date.copyright Fri Jan 01 00:00:00 UTC 2016
dc.date.embargo 2018-04-01
dc.date.issued 2017-04-01
dc.description.abstract <p>This work describes a fluid–structure interaction (FSI) design optimization framework and applies it to improving the structural performance of a water brake used to stop aircraft landing on short runways. Inside the water brake, a dissipative torque is exerted on a rotor through interactions between rotor blades and a surrounding fluid. We seek to optimize blade shape over a parameterized design space, to prevent potentially-damaging stress concentrations without compromising performance. To avoid excessive numbers of costly simulations while exploring the design space, we use a surrogate management framework that combines derivative-free pattern search optimization with automated construction of a low-fidelity surrogate model, requiring only a handful of high-fidelity FSI simulations. We avoid the difficult problem of generating fluid and structure meshes at new points in the design space by using immersogeometric FSI analysis. The structure is analyzed isogeometrically: its design geometry also serves as a computational mesh. This geometry is then immersed in an unfitted fluid mesh that does not depend on the structure’s design parameters. We use this framework to make significant improvements to a baseline design found in the literature. Specifically, there is a 35% reduction of von Mises stress variance and a 25% reduction of maximum of stress, while the resisting torque and mass of the optimized blades remain uncompromised.</p>
dc.description.comments <p>This article is published as Wu, Michael CH, David Kamensky, Chenglong Wang, Austin J. Herrema, Fei Xu, Marco S. Pigazzini, Aekaansh Verma, Alison L. Marsden, Yuri Bazilevs, and Ming-Chen Hsu. "Optimizing fluid–structure interaction systems with immersogeometric analysis and surrogate modeling: Application to a hydraulic arresting gear." Computer Methods in Applied Mechanics and Engineering 316 (2017): 668-693. doi: <a href="https://doi.org/10.1016/j.cma.2016.09.032" target="_blank" title="Persistent link using digital object identifier">10.1016/j.cma.2016.09.032</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/me_pubs/261/
dc.identifier.articleid 1256
dc.identifier.contextkey 11348625
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath me_pubs/261
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/55122
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/me_pubs/261/2017_Hsu_OptimizingFluid.pdf|||Fri Jan 14 23:02:12 UTC 2022
dc.source.uri 10.1016/j.cma.2016.09.032
dc.subject.disciplines Computer-Aided Engineering and Design
dc.subject.disciplines Mechanical Engineering
dc.subject.keywords Fluid–structure interaction
dc.subject.keywords Immersogeometric analysis
dc.subject.keywords Isogeometric analysis
dc.subject.keywords Parametric design optimization
dc.subject.keywords Surrogate management framework
dc.subject.keywords Water brake
dc.title Optimizing fluid–structure interaction systems with immersogeometric analysis and surrogate modeling: Application to a hydraulic arresting gear
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication a780f854-309d-4de9-a355-1cebcaf3d6a5
relation.isOrgUnitOfPublication 6d38ab0f-8cc2-4ad3-90b1-67a60c5a6f59
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