An Identification Method for the “Effective Coupling Loss Factor” Based on the Hybrid FE-SEA Model
Source abstract
Abstract
Due to the limitation of the SEA method, the hybrid FE-SEA method has become a powerful tool to solve the medium-frequency “acoustic-vibration problem”. However, in most cases, the solution process of the hybrid FE-SEA model is often accompanied by ill-posed matrix problems, such as the inverse solution of the matrix, and the calculation accuracy is not high, which affects the overall calculation accuracy of the hybrid FE-SEA model. In this paper, the calculation method for the effective coupling matrix of the hybrid FE-SEA model is further improved. Based on the basic parameter solving method of the hybrid FE-SEA model, the hybrid FE-SEA model for three-coupled systems is established. In this paper, the deterministic subsystem and the random subsystem response solving problem in three-coupled systems is studied. The method is extended to the multi-coupled system, and an improved calculation method for the coupling matrix of the hybrid FE-SEA model is proposed. On the basis of the weighted iterative method of the principal element, intermediate variables and error transfer are introduced. The parameter identification problem of the effective coupling loss factor of the hybrid FE-SEA model is solved, which provides a solution for parameter identification of the hybrid FE-SEA model.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Acoustic Wave Phenomena Research · Structural Health Monitoring Techniques · Probabilistic and Robust Engineering Design
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle, Hubei University of Arts and Science, Xiangyang 441053, China
School of Automotive and Traffic Engineering, Hubei University of Arts and Science, Xiangyang 441053, China
College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 401122, China
Funding
Hubei Superior and Distinctive Discipline Group of “New Energy Vehicle and Smart Transportation”
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