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

• Autorzy: Zeng Yingying , Zhao Han , Hu Huifang , Zhang Peng , Ademiloye A. S. , Xiang Ping

Identyfikatory

DOI

10.1007/s43452-024-01003-7

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

fuzzy; information entropy; multibody system; damage

PL

entropia informacji; uszkodzenie konstrukcji; metoda elementów skończonych

• Wydawca: Springer ; Wrocław University of Science and Technology
• Czasopismo: Archives of Civil and Mechanical Engineering
• Rocznik: 2024
• Tom: Vol. 24, no. 3
• Strony: art. no. e197, 2024
• Opis fizyczny: Bibliogr. 44 poz., tab., wykr.

Twórcy

autor

Zeng Yingying

• School of Civil Engineering, Central South University, Changsha, China
• School of Civil Engineering, Taishan University, Taian 271000, Shandong, China

autor

Zhao Han

• School of Civil Engineering, Central South University, Changsha, China

autor

Hu Huifang

• School of Civil Engineering, Central South University, Changsha, China

autor

Zhang Peng

• School of Civil Engineering, Central South University, Changsha, China

autor

Ademiloye A. S.

• Zienkiewicz Institute for Modelling, Data and AI, Faculty of Science and Engineering, Swansea University, Swansea, UK

autor

Xiang Ping

• School of Civil Engineering, Central South University, Changsha, China
• School of Civil Engineering, Taishan University, Taian 271000, Shandong, China

• https://orcid.org/0000-0002-1636-4111

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025)