Journal article 16 views
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 
,
Ping Xiang
,
Ping Xiang
Archives of Civil and Mechanical Engineering, Volume: 24, Issue: 3
Swansea University Author:
Adesola Ademiloye
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DOI (Published version): 10.1007/s43452-024-01003-7
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...
| Published in: | Archives of Civil and Mechanical Engineering |
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| ISSN: | 2083-3318 |
| Published: |
Springer Science and Business Media LLC
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa67157 |
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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 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. |
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| College: |
Faculty of Science and Engineering |
| Funders: |
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) |
| Issue: |
3 |