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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Language: | English |
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Elsevier BV
2020
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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. |
first_indexed | 2024-09-23T16:03:11Z |
format | Article |
id | mit-1721.1/127272 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2024-09-23T16:03:11Z |
publishDate | 2020 |
publisher | Elsevier BV |
record_format | dspace |
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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