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A time and ensemble equivalent linearization method for nonlinear systems under combined harmonic and random excitation
An Equivalent Linearization technique, termed an Equivalent Linearization Time and Ensemble Expectation (EL-TEE) approach, is used to develop an alternative method for estimating the response of a nonlinear oscillator to a combination of deterministic harmonic and random white noise excitation. The...
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Published in: | Proceedings of the Institution of Mechanical Engineers. Part C, Journal of mechanical engineering science Journal of mechanical engineering science, 2024-05, Vol.238 (9), p.3724-3745 |
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container_title | Proceedings of the Institution of Mechanical Engineers. Part C, Journal of mechanical engineering science |
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creator | Hickey, John Butlin, Tore Langley, Robin Onozato, Naoki |
description | An Equivalent Linearization technique, termed an Equivalent Linearization Time and Ensemble Expectation (EL-TEE) approach, is used to develop an alternative method for estimating the response of a nonlinear oscillator to a combination of deterministic harmonic and random white noise excitation. The approach is based on applying equivalent linearization and averaging over the time period of one harmonic excitation cycle. This gives a set of coupled nonlinear equations that can be solved for the response averaged over time and across the ensemble. The primary advantages of the proposed method are its computational speed, ability to return physically meaningful linearization matrices and that it can be applied to a wide variety of nonlinearities. The method is applied to three example test systems: the well-known single degree of freedom Duffing oscillator; a single degree of freedom system with a displacement constraint imposing a discontinuous nonlinearity; and a multi degree of freedom oscillator with a localized polynomial nonlinearity that has also been examined experimentally. It is shown that the response predicted matches well with Monte Carlo results from direct time integration at a fraction of the computational cost, and the method is capable of reproducing key results observed experimentally. |
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The approach is based on applying equivalent linearization and averaging over the time period of one harmonic excitation cycle. This gives a set of coupled nonlinear equations that can be solved for the response averaged over time and across the ensemble. The primary advantages of the proposed method are its computational speed, ability to return physically meaningful linearization matrices and that it can be applied to a wide variety of nonlinearities. The method is applied to three example test systems: the well-known single degree of freedom Duffing oscillator; a single degree of freedom system with a displacement constraint imposing a discontinuous nonlinearity; and a multi degree of freedom oscillator with a localized polynomial nonlinearity that has also been examined experimentally. 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The method is applied to three example test systems: the well-known single degree of freedom Duffing oscillator; a single degree of freedom system with a displacement constraint imposing a discontinuous nonlinearity; and a multi degree of freedom oscillator with a localized polynomial nonlinearity that has also been examined experimentally. It is shown that the response predicted matches well with Monte Carlo results from direct time integration at a fraction of the computational cost, and the method is capable of reproducing key results observed experimentally.</description><subject>Computational efficiency</subject><subject>Computing costs</subject><subject>Degrees of freedom</subject><subject>Duffing oscillators</subject><subject>Equivalence</subject><subject>Harmonic excitation</subject><subject>Linearization</subject><subject>Nonlinear equations</subject><subject>Nonlinear systems</subject><subject>Nonlinearity</subject><subject>Polynomials</subject><subject>Random excitation</subject><subject>Time integration</subject><subject>White noise</subject><issn>0954-4062</issn><issn>2041-2983</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp1kE1LAzEQhoMoWKs_wFvA89bJJvt1LMUvKHjR85JNZm3KJmmTrVp_vduu4EGcwwzMvO8z8BJyzWDGWFHcQpUJAXmacpYCL4U4IZMUBEvSquSnZHK4JwfBObmIcQ1DpXk2IR9z2huLVDpN0UW0TYcUtzvzLjt0Pe2MQxnMl-yNd9Riv_Katj5Q5914o3Efe7SR7pzGQJW3zbDXdCWD9c6oIzoMzVuKn8r0R9QlOWtlF_HqZ07J6_3dy-IxWT4_PC3my0RxKPpEV6gZgGKqFKrSDcMG8izjZS5FVoAogUssBILCXLe80rrhrMnaRmSpVKD4lNyM3E3w2x3Gvl77XXDDy5pDBiWrhsgGFRtVKvgYA7b1Jhgrw75mUB_yrf_kO3hmoyfKN_yl_m_4BioffME</recordid><startdate>202405</startdate><enddate>202405</enddate><creator>Hickey, John</creator><creator>Butlin, Tore</creator><creator>Langley, Robin</creator><creator>Onozato, Naoki</creator><general>SAGE Publications</general><general>SAGE PUBLICATIONS, INC</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><orcidid>https://orcid.org/0000-0002-1727-3684</orcidid></search><sort><creationdate>202405</creationdate><title>A time and ensemble equivalent linearization method for nonlinear systems under combined harmonic and random excitation</title><author>Hickey, John ; Butlin, Tore ; Langley, Robin ; Onozato, Naoki</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c307t-d9ed100c1c84c9db1eb0655386a45704803ae74e0ce6df39ddb31b5fb452ac0c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Computational efficiency</topic><topic>Computing costs</topic><topic>Degrees of freedom</topic><topic>Duffing oscillators</topic><topic>Equivalence</topic><topic>Harmonic excitation</topic><topic>Linearization</topic><topic>Nonlinear equations</topic><topic>Nonlinear systems</topic><topic>Nonlinearity</topic><topic>Polynomials</topic><topic>Random excitation</topic><topic>Time integration</topic><topic>White noise</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hickey, John</creatorcontrib><creatorcontrib>Butlin, Tore</creatorcontrib><creatorcontrib>Langley, Robin</creatorcontrib><creatorcontrib>Onozato, Naoki</creatorcontrib><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>Proceedings of the Institution of Mechanical Engineers. 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The primary advantages of the proposed method are its computational speed, ability to return physically meaningful linearization matrices and that it can be applied to a wide variety of nonlinearities. The method is applied to three example test systems: the well-known single degree of freedom Duffing oscillator; a single degree of freedom system with a displacement constraint imposing a discontinuous nonlinearity; and a multi degree of freedom oscillator with a localized polynomial nonlinearity that has also been examined experimentally. It is shown that the response predicted matches well with Monte Carlo results from direct time integration at a fraction of the computational cost, and the method is capable of reproducing key results observed experimentally.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><doi>10.1177/09544062231203844</doi><tpages>22</tpages><orcidid>https://orcid.org/0000-0002-1727-3684</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Computational efficiency Computing costs Degrees of freedom Duffing oscillators Equivalence Harmonic excitation Linearization Nonlinear equations Nonlinear systems Nonlinearity Polynomials Random excitation Time integration White noise |
title | A time and ensemble equivalent linearization method for nonlinear systems under combined harmonic and random excitation |
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