Chapter
Jul 7, 2014
Double Random Vibration Analysis for Coupled Vehicle-Track Systems with Parameter Uncertainties
Authors: Y. Zhao [email protected], P. Xiang [email protected], and J. H. Lin [email protected]Author Affiliations
Publication: Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management
Abstract
A new random vibration-based assessment method for coupled vehicle-track system with uncertain parameters subjected to random track irregularity is proposed in this paper. The dynamic equations of the coupled vehicle-track system under the mixed physical coordinates and symplectic dual coordinates are established based on the wheel-rail coupling relations. The control equation, with respect to the uncertain parameters, is derived by using the Hermitian orthogonal polynomials for dynamic analysis of the coupled systems. By using the periodic features of the track, the "curse of dimensionality" of the control equation is effectively reduced.
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Published In
Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management
Pages: 456 - 464
Copyright
© 2014 American Society of Civil Engineers.
History
Published online: Jul 7, 2014
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ASCE Technical Topics:
- Analysis (by type)
- Continuum mechanics
- Coupling
- Dynamic analysis
- Dynamics (solid mechanics)
- Engineering fundamentals
- Engineering mechanics
- Infrastructure
- Mathematical functions
- Mathematics
- Motion (dynamics)
- Parameters (statistics)
- Polynomials
- Rail transportation
- Railroad tracks
- Solid mechanics
- Statistics
- Structural engineering
- Structural members
- Structural systems
- Transportation engineering
- Uncertainty principles
- Vibration
- Wavelets
Authors
Affiliations
State Key Laboratory of Structural Analysis for Industrial Equipment, Faculty of Vehicle Engineering and Mechanics, Dalian University of Technology, Dalian 116023, China. E-mail: [email protected]
State Key Laboratory of Structural Analysis for Industrial Equipment, Faculty of Vehicle Engineering and Mechanics, Dalian University of Technology, Dalian 116023, PR China. E-mail: [email protected]
State Key Laboratory of Structural Analysis for Industrial Equipment, Faculty of Vehicle Engineering and Mechanics, Dalian University of Technology, Dalian 116023, PR China. E-mail: [email protected]
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