Extreme events and their optimal mitigation in nonlinear structural systems excited by stochastic loads: Application to ocean engineering systems

We develop an efficient numerical method for the probabilistic quantification of the response statistics of nonlinear multi-degree-of-freedom structural systems under extreme forcing events, emphasizing accurate heavy-tail statistics. The response is decomposed to a statistically stationary part and...

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Main Authors: Joo, Han Kyul, Mohamad, Mustafa A., Sapsis, Themistoklis Panagiotis
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering
Format: Article
Language:English
Published: Elsevier BV 2020
Online Access:https://hdl.handle.net/1721.1/127272
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author Joo, Han Kyul
Mohamad, Mustafa A.
Sapsis, Themistoklis Panagiotis
author2 Massachusetts Institute of Technology. Department of Mechanical Engineering
author_facet Massachusetts Institute of Technology. Department of Mechanical Engineering
Joo, Han Kyul
Mohamad, Mustafa A.
Sapsis, Themistoklis Panagiotis
author_sort Joo, Han Kyul
collection MIT
description We develop an efficient numerical method for the probabilistic quantification of the response statistics of nonlinear multi-degree-of-freedom structural systems under extreme forcing events, emphasizing accurate heavy-tail statistics. The response is decomposed to a statistically stationary part and an intermittent component. The stationary part is quantified using a statistical linearization method while the intermittent part, associated with extreme transient responses, is quantified through i) either a few carefully selected simulations or ii) through the use of effective measures (effective stiffness and damping). The developed approach is able to accurately capture the extreme response statistics orders of magnitude faster compared with direct methods. The scheme is applied to the design and optimization of small attachments that can mitigate and suppress extreme forcing events delivered to a primary structural system. Specifically, we consider the problem of suppression of extreme responses in two prototype ocean engineering systems. First, we consider linear and cubic springs and perform parametric optimization by minimizing the forth-order moments of the response. We then consider a more generic, possibly asymmetric, piecewise linear spring and optimize its nonlinear characteristics. The resulting asymmetric spring design far outperforms the optimal cubic energy sink and the linear tuned mass dampers.
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spelling mit-1721.1/1272722022-10-02T06:00:57Z Extreme events and their optimal mitigation in nonlinear structural systems excited by stochastic loads: Application to ocean engineering systems Joo, Han Kyul Mohamad, Mustafa A. Sapsis, Themistoklis Panagiotis Massachusetts Institute of Technology. Department of Mechanical Engineering We develop an efficient numerical method for the probabilistic quantification of the response statistics of nonlinear multi-degree-of-freedom structural systems under extreme forcing events, emphasizing accurate heavy-tail statistics. The response is decomposed to a statistically stationary part and an intermittent component. The stationary part is quantified using a statistical linearization method while the intermittent part, associated with extreme transient responses, is quantified through i) either a few carefully selected simulations or ii) through the use of effective measures (effective stiffness and damping). The developed approach is able to accurately capture the extreme response statistics orders of magnitude faster compared with direct methods. The scheme is applied to the design and optimization of small attachments that can mitigate and suppress extreme forcing events delivered to a primary structural system. Specifically, we consider the problem of suppression of extreme responses in two prototype ocean engineering systems. First, we consider linear and cubic springs and perform parametric optimization by minimizing the forth-order moments of the response. We then consider a more generic, possibly asymmetric, piecewise linear spring and optimize its nonlinear characteristics. The resulting asymmetric spring design far outperforms the optimal cubic energy sink and the linear tuned mass dampers. Office of Naval Research (Grants N00014-14-1-0520 and N00014-15-1-2381) Air Force Office of Scientific Research (Grant FA9550-16-1-0231) 2020-09-15T18:04:58Z 2020-09-15T18:04:58Z 2017-09 2017-06 2019-09-26T15:46:19Z Article http://purl.org/eprint/type/JournalArticle 0029-8018 https://hdl.handle.net/1721.1/127272 Joo, Han Kyul et al. "Extreme events and their optimal mitigation in nonlinear structural systems excited by stochastic loads: Application to ocean engineering systems." Ocean Engineering 142 (September 2017): 145-160 © 2017 Elsevier Ltd en http://dx.doi.org/10.1016/j.oceaneng.2017.06.066 Ocean Engineering Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier BV arXiv
spellingShingle Joo, Han Kyul
Mohamad, Mustafa A.
Sapsis, Themistoklis Panagiotis
Extreme events and their optimal mitigation in nonlinear structural systems excited by stochastic loads: Application to ocean engineering systems
title Extreme events and their optimal mitigation in nonlinear structural systems excited by stochastic loads: Application to ocean engineering systems
title_full Extreme events and their optimal mitigation in nonlinear structural systems excited by stochastic loads: Application to ocean engineering systems
title_fullStr Extreme events and their optimal mitigation in nonlinear structural systems excited by stochastic loads: Application to ocean engineering systems
title_full_unstemmed Extreme events and their optimal mitigation in nonlinear structural systems excited by stochastic loads: Application to ocean engineering systems
title_short Extreme events and their optimal mitigation in nonlinear structural systems excited by stochastic loads: Application to ocean engineering systems
title_sort extreme events and their optimal mitigation in nonlinear structural systems excited by stochastic loads application to ocean engineering systems
url https://hdl.handle.net/1721.1/127272
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AT mohamadmustafaa extremeeventsandtheiroptimalmitigationinnonlinearstructuralsystemsexcitedbystochasticloadsapplicationtooceanengineeringsystems
AT sapsisthemistoklispanagiotis extremeeventsandtheiroptimalmitigationinnonlinearstructuralsystemsexcitedbystochasticloadsapplicationtooceanengineeringsystems