Joints Parameters Identification in Numerical Modeling of Structural Dynamics
The dynamics of assembled structures are significantly dependent on joints. Joints parameters, owing to be difficultly measured, are always ignored by pure rigid in numerical modeling and it will result in unreliable or even error descriptions. 1~3 Hz deviations may cause resonance especially in eng...
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Format: | Article |
Language: | English |
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Wiley
2018-01-01
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Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.1155/2018/2365759 |
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author | Yuedong Yang Jiqing Chen Fengchong Lan Fei Xiong Zicong Zeng |
author_facet | Yuedong Yang Jiqing Chen Fengchong Lan Fei Xiong Zicong Zeng |
author_sort | Yuedong Yang |
collection | DOAJ |
description | The dynamics of assembled structures are significantly dependent on joints. Joints parameters, owing to be difficultly measured, are always ignored by pure rigid in numerical modeling and it will result in unreliable or even error descriptions. 1~3 Hz deviations may cause resonance especially in engineering optimization issues; hence it is necessary to identify joints parameters for structural dynamics investigation. In present work, multiobjective optimization algorithms are used to identify joints parameters by approaching actual test results in each series of structure to decrease unreliable or error for numerical modeling. Taking automotive dynamics with seam-welding and spot-welding as examples, the relationship of joints parameters perturbation and structural dynamics is derived to give the selecting reason of parameters’ identification. The actual dynamics of an SUV’s frame and a thin-walled part in BIW (body in white) are utilized to validate the methodology. Results demonstrate that the validated model has enough accuracy to reflect the dynamics of the actual structure. The methodology provides reliable guarantee for dynamic analysis and the design of structure. |
format | Article |
id | doaj-art-efb752da35674d8daccf7254bcc919a9 |
institution | Kabale University |
issn | 1070-9622 1875-9203 |
language | English |
publishDate | 2018-01-01 |
publisher | Wiley |
record_format | Article |
series | Shock and Vibration |
spelling | doaj-art-efb752da35674d8daccf7254bcc919a92025-02-03T05:46:08ZengWileyShock and Vibration1070-96221875-92032018-01-01201810.1155/2018/23657592365759Joints Parameters Identification in Numerical Modeling of Structural DynamicsYuedong Yang0Jiqing Chen1Fengchong Lan2Fei Xiong3Zicong Zeng4School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou 510640, ChinaSchool of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou 510640, ChinaSchool of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou 510640, ChinaGuangzhou Automobile Group Co. Ltd. Automotive Engineer Institute, Guangzhou 511434, ChinaSchool of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou 510640, ChinaThe dynamics of assembled structures are significantly dependent on joints. Joints parameters, owing to be difficultly measured, are always ignored by pure rigid in numerical modeling and it will result in unreliable or even error descriptions. 1~3 Hz deviations may cause resonance especially in engineering optimization issues; hence it is necessary to identify joints parameters for structural dynamics investigation. In present work, multiobjective optimization algorithms are used to identify joints parameters by approaching actual test results in each series of structure to decrease unreliable or error for numerical modeling. Taking automotive dynamics with seam-welding and spot-welding as examples, the relationship of joints parameters perturbation and structural dynamics is derived to give the selecting reason of parameters’ identification. The actual dynamics of an SUV’s frame and a thin-walled part in BIW (body in white) are utilized to validate the methodology. Results demonstrate that the validated model has enough accuracy to reflect the dynamics of the actual structure. The methodology provides reliable guarantee for dynamic analysis and the design of structure.http://dx.doi.org/10.1155/2018/2365759 |
spellingShingle | Yuedong Yang Jiqing Chen Fengchong Lan Fei Xiong Zicong Zeng Joints Parameters Identification in Numerical Modeling of Structural Dynamics Shock and Vibration |
title | Joints Parameters Identification in Numerical Modeling of Structural Dynamics |
title_full | Joints Parameters Identification in Numerical Modeling of Structural Dynamics |
title_fullStr | Joints Parameters Identification in Numerical Modeling of Structural Dynamics |
title_full_unstemmed | Joints Parameters Identification in Numerical Modeling of Structural Dynamics |
title_short | Joints Parameters Identification in Numerical Modeling of Structural Dynamics |
title_sort | joints parameters identification in numerical modeling of structural dynamics |
url | http://dx.doi.org/10.1155/2018/2365759 |
work_keys_str_mv | AT yuedongyang jointsparametersidentificationinnumericalmodelingofstructuraldynamics AT jiqingchen jointsparametersidentificationinnumericalmodelingofstructuraldynamics AT fengchonglan jointsparametersidentificationinnumericalmodelingofstructuraldynamics AT feixiong jointsparametersidentificationinnumericalmodelingofstructuraldynamics AT zicongzeng jointsparametersidentificationinnumericalmodelingofstructuraldynamics |