Paper
5 July 2024 Review on research of uncertain dynamics for bimetallic structures
Zongyang Hao, Timothy Rogers, Fajia Li
Author Affiliations +
Proceedings Volume 13183, International Conference on Optoelectronic Information and Functional Materials (OIFM 2024); 1318313 (2024) https://doi.org/10.1117/12.3033873
Event: The 3rd International Conference on Optoelectronic Information and Functional Materials (OIFM 2024), 2024, Wuhan, China
Abstract
Bimetallic structures are used in a wide range of applications and play a key role in equipment such as aerospace and thermostats. However, the abundance of internal and external excitations and nonlinearities in bimetallic structures, as well as the complexity and variability of their operating environments, make their dynamics more complex to analyse compared to other systems. In addition, the interactions between the components that make up the bimetallic structure, wear and tear, and the operating environment will lead to uncertainties in the internal and external excitations and system parameters of the bimetallic structure. These uncertainties need to be taken into account in the dynamic analysis of bimetallic structures. At present, extensive research work has been carried out by scholars for the uncertainty analysis of bimetallic structures. We systematically review the current research status of the uncertainty dynamics of bimetallic structures by scholars at home and abroad in terms of the uncertainty in dynamics, beam dynamics, bolted joint dynamics, etc., and give the problems that need to be further investigated.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Zongyang Hao, Timothy Rogers, and Fajia Li "Review on research of uncertain dynamics for bimetallic structures", Proc. SPIE 13183, International Conference on Optoelectronic Information and Functional Materials (OIFM 2024), 1318313 (5 July 2024); https://doi.org/10.1117/12.3033873
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KEYWORDS
Uncertainty analysis

Composites

Vibration

Reliability

Finite element methods

Stochastic processes

Fuzzy logic

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