Uncertainty propagation and experimental verification of nonlinear viscoelastic sandwich beams
•Stochastic nonlinear modeling of sandwich beams having geometric nonlinearities.•Numerical and experimental studies of the influence of parameters on the behavior of the sandwich beam.•Comparing the computed and measured nonlinear frequency responses.•Curve-fitting procedure to calibrate the nonlin...
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Veröffentlicht in: | Mechanical systems and signal processing 2019-10, Vol.132, p.654-669 |
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description | •Stochastic nonlinear modeling of sandwich beams having geometric nonlinearities.•Numerical and experimental studies of the influence of parameters on the behavior of the sandwich beam.•Comparing the computed and measured nonlinear frequency responses.•Curve-fitting procedure to calibrate the nonlinear characteristics of the nonlinear FE model.•Influence of the parametric uncertainties on the envelopes of nonlinear frequency responses.
The nonlinear dynamic analysis of viscoelastic systems is not an easy task. In some cases, it is due to the difficulty in dealing with the temperature- and frequency-dependent properties of the viscoelastic substructure. Also, since the real-life viscoelastic treatments are characterized by inherent uncertainties affecting their efficiency, their handling in the nonlinear modeling is essential from an engineering point of view. In this contribution, a stochastic modeling based on the Karhunen-Loève expansion is proposed for a three-layer sandwich beam having nonlinear behavior using the concept of complex modulus and shift factor. The nonlinear frequency responses were obtained by using an approximated harmonic balance method with the Galerkin bases. Due to the difficulty in solving the resulting complex nonlinear eigenproblem with a frequency-dependent stiffness, making the stochastic nonlinear analyses very costly, it is proposed an iterative reduction method to approximate the complex eigenmodes. The influence of the forcing amplitude and temperature on the computed nonlinear frequency responses has been confirmed by performing laboratory experiments with a three-layer sandwich beam specimen placed inside an environmental chamber. Also, a curve-fitting has been performed to calibrate the deterministic nonlinear model using optimization tools. The envelopes of nonlinear responses demonstrate the relevance of considering the uncertainties in design variables. |
doi_str_mv | 10.1016/j.ymssp.2019.07.022 |
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The nonlinear dynamic analysis of viscoelastic systems is not an easy task. In some cases, it is due to the difficulty in dealing with the temperature- and frequency-dependent properties of the viscoelastic substructure. Also, since the real-life viscoelastic treatments are characterized by inherent uncertainties affecting their efficiency, their handling in the nonlinear modeling is essential from an engineering point of view. In this contribution, a stochastic modeling based on the Karhunen-Loève expansion is proposed for a three-layer sandwich beam having nonlinear behavior using the concept of complex modulus and shift factor. The nonlinear frequency responses were obtained by using an approximated harmonic balance method with the Galerkin bases. Due to the difficulty in solving the resulting complex nonlinear eigenproblem with a frequency-dependent stiffness, making the stochastic nonlinear analyses very costly, it is proposed an iterative reduction method to approximate the complex eigenmodes. The influence of the forcing amplitude and temperature on the computed nonlinear frequency responses has been confirmed by performing laboratory experiments with a three-layer sandwich beam specimen placed inside an environmental chamber. Also, a curve-fitting has been performed to calibrate the deterministic nonlinear model using optimization tools. The envelopes of nonlinear responses demonstrate the relevance of considering the uncertainties in design variables.</description><identifier>ISSN: 0888-3270</identifier><identifier>EISSN: 1096-1216</identifier><identifier>DOI: 10.1016/j.ymssp.2019.07.022</identifier><language>eng</language><publisher>Berlin: Elsevier Ltd</publisher><subject>Beams (structural) ; Cost analysis ; Curve fitting ; Dynamical systems ; Galerkin method ; Harmonic balance method ; Iterative methods ; Mechanics ; Modelling ; Nonlinear analysis ; Nonlinear dynamics ; Nonlinear vibrations ; Optimization ; Parametric uncertainties ; Passive control ; Physics ; Sandwich structures ; Stiffness ; Stochastic finite element ; Stochastic models ; Substructures ; Temperature dependence ; Test chambers ; Uncertainty ; Viscoelastic materials ; Viscoelasticity</subject><ispartof>Mechanical systems and signal processing, 2019-10, Vol.132, p.654-669</ispartof><rights>2019 Elsevier Ltd</rights><rights>Copyright Elsevier BV Oct 1, 2019</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c410t-4aa77935c6682a94ec0e7bf2fd7f78f67fd009bf3a6d4b971ea975dc61e8adf73</citedby><cites>FETCH-LOGICAL-c410t-4aa77935c6682a94ec0e7bf2fd7f78f67fd009bf3a6d4b971ea975dc61e8adf73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0888327019304492$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,776,780,881,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://hal.science/hal-03427061$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Silva, V.A.C.</creatorcontrib><creatorcontrib>de Lima, A.M.G.</creatorcontrib><creatorcontrib>Bouhaddi, N.</creatorcontrib><creatorcontrib>Lacerda, H.B.</creatorcontrib><title>Uncertainty propagation and experimental verification of nonlinear viscoelastic sandwich beams</title><title>Mechanical systems and signal processing</title><description>•Stochastic nonlinear modeling of sandwich beams having geometric nonlinearities.•Numerical and experimental studies of the influence of parameters on the behavior of the sandwich beam.•Comparing the computed and measured nonlinear frequency responses.•Curve-fitting procedure to calibrate the nonlinear characteristics of the nonlinear FE model.•Influence of the parametric uncertainties on the envelopes of nonlinear frequency responses.
The nonlinear dynamic analysis of viscoelastic systems is not an easy task. In some cases, it is due to the difficulty in dealing with the temperature- and frequency-dependent properties of the viscoelastic substructure. Also, since the real-life viscoelastic treatments are characterized by inherent uncertainties affecting their efficiency, their handling in the nonlinear modeling is essential from an engineering point of view. In this contribution, a stochastic modeling based on the Karhunen-Loève expansion is proposed for a three-layer sandwich beam having nonlinear behavior using the concept of complex modulus and shift factor. The nonlinear frequency responses were obtained by using an approximated harmonic balance method with the Galerkin bases. Due to the difficulty in solving the resulting complex nonlinear eigenproblem with a frequency-dependent stiffness, making the stochastic nonlinear analyses very costly, it is proposed an iterative reduction method to approximate the complex eigenmodes. The influence of the forcing amplitude and temperature on the computed nonlinear frequency responses has been confirmed by performing laboratory experiments with a three-layer sandwich beam specimen placed inside an environmental chamber. Also, a curve-fitting has been performed to calibrate the deterministic nonlinear model using optimization tools. The envelopes of nonlinear responses demonstrate the relevance of considering the uncertainties in design variables.</description><subject>Beams (structural)</subject><subject>Cost analysis</subject><subject>Curve fitting</subject><subject>Dynamical systems</subject><subject>Galerkin method</subject><subject>Harmonic balance method</subject><subject>Iterative methods</subject><subject>Mechanics</subject><subject>Modelling</subject><subject>Nonlinear analysis</subject><subject>Nonlinear dynamics</subject><subject>Nonlinear vibrations</subject><subject>Optimization</subject><subject>Parametric uncertainties</subject><subject>Passive control</subject><subject>Physics</subject><subject>Sandwich structures</subject><subject>Stiffness</subject><subject>Stochastic finite element</subject><subject>Stochastic models</subject><subject>Substructures</subject><subject>Temperature dependence</subject><subject>Test chambers</subject><subject>Uncertainty</subject><subject>Viscoelastic materials</subject><subject>Viscoelasticity</subject><issn>0888-3270</issn><issn>1096-1216</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kDFv2zAQhYmiAeom-QVZBHTqIOVIyaQ0dDCCJilgoEu8hjhTx5qGTKqk4tb_PnRUdMx0xPG9w3sfYzccKg5c3u6r0yGlsRLAuwpUBUJ8YAsOnSy54PIjW0DbtmUtFHxin1PaA0DXgFyw5403FCd0fjoVYwwj_sLJBV-g7wv6O1J0B_ITDsUxP60z82-whQ9-cJ4wFkeXTKAB0-RMkbLxjzO7Ykt4SFfswuKQ6PrfvGSb--9Pd4_l-ufDj7vVujQNh6lsEJXq6qWRshXYNWSA1NYK2yurWiuV7XPgra1R9s22U5ywU8veSE4t9lbVl-zrfHeHgx5zZownHdDpx9Van3dQN7m85EeetV9mba77-4XSpPfhJfocT4salgCiUzKr6lllYkgpkv1_loM-Q9d7_QZdn6FrUDpDz65vs4ty2aOjqJNxlBH3LpKZdB_cu_5X_HSN-Q</recordid><startdate>20191001</startdate><enddate>20191001</enddate><creator>Silva, V.A.C.</creator><creator>de Lima, A.M.G.</creator><creator>Bouhaddi, N.</creator><creator>Lacerda, H.B.</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><general>Elsevier</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>1XC</scope><scope>VOOES</scope></search><sort><creationdate>20191001</creationdate><title>Uncertainty propagation and experimental verification of nonlinear viscoelastic sandwich beams</title><author>Silva, V.A.C. ; de Lima, A.M.G. ; Bouhaddi, N. ; Lacerda, H.B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c410t-4aa77935c6682a94ec0e7bf2fd7f78f67fd009bf3a6d4b971ea975dc61e8adf73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Beams (structural)</topic><topic>Cost analysis</topic><topic>Curve fitting</topic><topic>Dynamical systems</topic><topic>Galerkin method</topic><topic>Harmonic balance method</topic><topic>Iterative methods</topic><topic>Mechanics</topic><topic>Modelling</topic><topic>Nonlinear analysis</topic><topic>Nonlinear dynamics</topic><topic>Nonlinear vibrations</topic><topic>Optimization</topic><topic>Parametric uncertainties</topic><topic>Passive control</topic><topic>Physics</topic><topic>Sandwich structures</topic><topic>Stiffness</topic><topic>Stochastic finite element</topic><topic>Stochastic models</topic><topic>Substructures</topic><topic>Temperature dependence</topic><topic>Test chambers</topic><topic>Uncertainty</topic><topic>Viscoelastic materials</topic><topic>Viscoelasticity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Silva, V.A.C.</creatorcontrib><creatorcontrib>de Lima, A.M.G.</creatorcontrib><creatorcontrib>Bouhaddi, N.</creatorcontrib><creatorcontrib>Lacerda, H.B.</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Mechanical systems and signal processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Silva, V.A.C.</au><au>de Lima, A.M.G.</au><au>Bouhaddi, N.</au><au>Lacerda, H.B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Uncertainty propagation and experimental verification of nonlinear viscoelastic sandwich beams</atitle><jtitle>Mechanical systems and signal processing</jtitle><date>2019-10-01</date><risdate>2019</risdate><volume>132</volume><spage>654</spage><epage>669</epage><pages>654-669</pages><issn>0888-3270</issn><eissn>1096-1216</eissn><abstract>•Stochastic nonlinear modeling of sandwich beams having geometric nonlinearities.•Numerical and experimental studies of the influence of parameters on the behavior of the sandwich beam.•Comparing the computed and measured nonlinear frequency responses.•Curve-fitting procedure to calibrate the nonlinear characteristics of the nonlinear FE model.•Influence of the parametric uncertainties on the envelopes of nonlinear frequency responses.
The nonlinear dynamic analysis of viscoelastic systems is not an easy task. In some cases, it is due to the difficulty in dealing with the temperature- and frequency-dependent properties of the viscoelastic substructure. Also, since the real-life viscoelastic treatments are characterized by inherent uncertainties affecting their efficiency, their handling in the nonlinear modeling is essential from an engineering point of view. In this contribution, a stochastic modeling based on the Karhunen-Loève expansion is proposed for a three-layer sandwich beam having nonlinear behavior using the concept of complex modulus and shift factor. The nonlinear frequency responses were obtained by using an approximated harmonic balance method with the Galerkin bases. Due to the difficulty in solving the resulting complex nonlinear eigenproblem with a frequency-dependent stiffness, making the stochastic nonlinear analyses very costly, it is proposed an iterative reduction method to approximate the complex eigenmodes. The influence of the forcing amplitude and temperature on the computed nonlinear frequency responses has been confirmed by performing laboratory experiments with a three-layer sandwich beam specimen placed inside an environmental chamber. Also, a curve-fitting has been performed to calibrate the deterministic nonlinear model using optimization tools. The envelopes of nonlinear responses demonstrate the relevance of considering the uncertainties in design variables.</abstract><cop>Berlin</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.ymssp.2019.07.022</doi><tpages>16</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Beams (structural) Cost analysis Curve fitting Dynamical systems Galerkin method Harmonic balance method Iterative methods Mechanics Modelling Nonlinear analysis Nonlinear dynamics Nonlinear vibrations Optimization Parametric uncertainties Passive control Physics Sandwich structures Stiffness Stochastic finite element Stochastic models Substructures Temperature dependence Test chambers Uncertainty Viscoelastic materials Viscoelasticity |
title | Uncertainty propagation and experimental verification of nonlinear viscoelastic sandwich beams |
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