Modeling and Stochastic Model Updating of Bolt-Jointed Structure

Bolt-jointed structure is widely used in engineering fields. The dynamic characteristics of bolt-jointed structure are complex, and there is a variety of uncertainties in the jointed structure. In this study, modeling and updating of a typical bolt-jointed structure are investigated. In modeling ter...

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Main Authors: Ming Zhan, Qintao Guo, Lin Yue, Baoqiang Zhang
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2018/8354249
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spelling doaj-4de1ec9d1f804ac690a30c37f5ae6f592020-11-25T00:42:39ZengHindawi LimitedShock and Vibration1070-96221875-92032018-01-01201810.1155/2018/83542498354249Modeling and Stochastic Model Updating of Bolt-Jointed StructureMing Zhan0Qintao Guo1Lin Yue2Baoqiang Zhang3Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaNanjing University of Aeronautics and Astronautics, Nanjing, ChinaNanjing University of Aeronautics and Astronautics, Nanjing, ChinaXiamen University, Xiamen, ChinaBolt-jointed structure is widely used in engineering fields. The dynamic characteristics of bolt-jointed structure are complex, and there is a variety of uncertainties in the jointed structure. In this study, modeling and updating of a typical bolt-jointed structure are investigated. In modeling terms, three-dimensional brick elements are used to represent the substructures, and thin-layer elements with virtual material properties are employed to represent the joint interface. Modal tests and experimental modal analysis of substructures and built-up structure are performed. A hierarchical model updating strategy based on Bayesian inference is applied to identify the unknown parameters in the substructures model and those in the overall model. Radial basis function (RBF) models are used as surrogates of time-consuming finite element model with high resolution to avoid the enormous computational cost. The results indicate that the updated model can reproduce modal frequencies used in updating and can predict those not used in the updating procedure.http://dx.doi.org/10.1155/2018/8354249
collection DOAJ
language English
format Article
sources DOAJ
author Ming Zhan
Qintao Guo
Lin Yue
Baoqiang Zhang
spellingShingle Ming Zhan
Qintao Guo
Lin Yue
Baoqiang Zhang
Modeling and Stochastic Model Updating of Bolt-Jointed Structure
Shock and Vibration
author_facet Ming Zhan
Qintao Guo
Lin Yue
Baoqiang Zhang
author_sort Ming Zhan
title Modeling and Stochastic Model Updating of Bolt-Jointed Structure
title_short Modeling and Stochastic Model Updating of Bolt-Jointed Structure
title_full Modeling and Stochastic Model Updating of Bolt-Jointed Structure
title_fullStr Modeling and Stochastic Model Updating of Bolt-Jointed Structure
title_full_unstemmed Modeling and Stochastic Model Updating of Bolt-Jointed Structure
title_sort modeling and stochastic model updating of bolt-jointed structure
publisher Hindawi Limited
series Shock and Vibration
issn 1070-9622
1875-9203
publishDate 2018-01-01
description Bolt-jointed structure is widely used in engineering fields. The dynamic characteristics of bolt-jointed structure are complex, and there is a variety of uncertainties in the jointed structure. In this study, modeling and updating of a typical bolt-jointed structure are investigated. In modeling terms, three-dimensional brick elements are used to represent the substructures, and thin-layer elements with virtual material properties are employed to represent the joint interface. Modal tests and experimental modal analysis of substructures and built-up structure are performed. A hierarchical model updating strategy based on Bayesian inference is applied to identify the unknown parameters in the substructures model and those in the overall model. Radial basis function (RBF) models are used as surrogates of time-consuming finite element model with high resolution to avoid the enormous computational cost. The results indicate that the updated model can reproduce modal frequencies used in updating and can predict those not used in the updating procedure.
url http://dx.doi.org/10.1155/2018/8354249
work_keys_str_mv AT mingzhan modelingandstochasticmodelupdatingofboltjointedstructure
AT qintaoguo modelingandstochasticmodelupdatingofboltjointedstructure
AT linyue modelingandstochasticmodelupdatingofboltjointedstructure
AT baoqiangzhang modelingandstochasticmodelupdatingofboltjointedstructure
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