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A fuzzy computational framework for dynamic multibody system considering structure damage based on information entropy

Yingying Zeng, Han Zhao, Huifang Hu, Peng Zhang, Adesola Ademiloye Orcid Logo, Ping Xiang Orcid Logo

Archives of Civil and Mechanical Engineering, Volume: 24, Issue: 3

Swansea University Author: Adesola Ademiloye Orcid Logo

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Abstract

The present study proposes a new fuzzy finite element method for dynamic multibody interaction with consideration for structural damage. Here, fuzzy parameters are equivalently transformed into stochastic parameters using information entropy, and the fuzzy response of the structure is obtained by fu...

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Published in: Archives of Civil and Mechanical Engineering
ISSN: 2083-3318
Published: Springer Science and Business Media LLC
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URI: https://cronfa.swan.ac.uk/Record/cronfa67157
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spelling v2 67157 2024-07-19 A fuzzy computational framework for dynamic multibody system considering structure damage based on information entropy e37960ed89a7e3eaeba2201762626594 0000-0002-9741-6488 Adesola Ademiloye Adesola Ademiloye true false 2024-07-19 EAAS The present study proposes a new fuzzy finite element method for dynamic multibody interaction with consideration for structural damage. Here, fuzzy parameters are equivalently transformed into stochastic parameters using information entropy, and the fuzzy response of the structure is obtained by fuzzy calculation combined with the new point estimation method. Numerical examples are used to illustrate the accuracy and efficiency of the presented methods and scanning method simulations are implemented to validate the computational results. Considering that the damage degree of the pier is uncertain, namely fuzzy uncertainty, stiffness reduction is used to simulate the damage of the pier. The fuzzy dynamic response of the train-bridge system is investigated when the pier structure and the mass of the train are fuzzy parameters. The response of the train-bridge interaction considering damage far exceeds that obtained from conventional deterministic parameter calculations. To ensure running safety, studying the response of the vehicle-system coupled vibration with fuzzy parameters is of great significance. Journal Article Archives of Civil and Mechanical Engineering 24 3 Springer Science and Business Media LLC 2083-3318 0 0 0 0001-01-01 10.1007/s43452-024-01003-7 http://dx.doi.org/10.1007/s43452-024-01003-7 COLLEGE NANME Engineering and Applied Sciences School COLLEGE CODE EAAS Swansea University This research work was jointly supported by the National Key Research and Development Program of China (2022YFC3004304, 2022YFB2302603) Key R&D Projects of Hunan Province (No.2024AQ2018) Hunan Provincial Natural Science Foundation Project (No. 2024JJ9067) Key Scientific Research Project of Hunan Provincial Department of Education, Project (21A0073) 2024-07-19T14:55:48.9010132 2024-07-19T14:49:53.9109436 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Yingying Zeng 1 Han Zhao 2 Huifang Hu 3 Peng Zhang 4 Adesola Ademiloye 0000-0002-9741-6488 5 Ping Xiang 0000-0002-1636-4111 6
title A fuzzy computational framework for dynamic multibody system considering structure damage based on information entropy
spellingShingle A fuzzy computational framework for dynamic multibody system considering structure damage based on information entropy
Adesola Ademiloye
title_short A fuzzy computational framework for dynamic multibody system considering structure damage based on information entropy
title_full A fuzzy computational framework for dynamic multibody system considering structure damage based on information entropy
title_fullStr A fuzzy computational framework for dynamic multibody system considering structure damage based on information entropy
title_full_unstemmed A fuzzy computational framework for dynamic multibody system considering structure damage based on information entropy
title_sort A fuzzy computational framework for dynamic multibody system considering structure damage based on information entropy
author_id_str_mv e37960ed89a7e3eaeba2201762626594
author_id_fullname_str_mv e37960ed89a7e3eaeba2201762626594_***_Adesola Ademiloye
author Adesola Ademiloye
author2 Yingying Zeng
Han Zhao
Huifang Hu
Peng Zhang
Adesola Ademiloye
Ping Xiang
format Journal article
container_title Archives of Civil and Mechanical Engineering
container_volume 24
container_issue 3
institution Swansea University
issn 2083-3318
doi_str_mv 10.1007/s43452-024-01003-7
publisher Springer Science and Business Media LLC
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering
url http://dx.doi.org/10.1007/s43452-024-01003-7
document_store_str 0
active_str 0
description The present study proposes a new fuzzy finite element method for dynamic multibody interaction with consideration for structural damage. Here, fuzzy parameters are equivalently transformed into stochastic parameters using information entropy, and the fuzzy response of the structure is obtained by fuzzy calculation combined with the new point estimation method. Numerical examples are used to illustrate the accuracy and efficiency of the presented methods and scanning method simulations are implemented to validate the computational results. Considering that the damage degree of the pier is uncertain, namely fuzzy uncertainty, stiffness reduction is used to simulate the damage of the pier. The fuzzy dynamic response of the train-bridge system is investigated when the pier structure and the mass of the train are fuzzy parameters. The response of the train-bridge interaction considering damage far exceeds that obtained from conventional deterministic parameter calculations. To ensure running safety, studying the response of the vehicle-system coupled vibration with fuzzy parameters is of great significance.
published_date 0001-01-01T14:55:48Z
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score 11.01753