A new general method for assigning frequencies with low spillover through structural modifications

Autor: Zihao Liu, Jichao Pang, Huajiang Ouyang, Guocheng Xie
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Journal of Low Frequency Noise, Vibration and Active Control, Vol 42 (2023)
Druh dokumentu: article
ISSN: 1461-3484
2048-4046
14613484
DOI: 10.1177/14613484231187818
Popis: By modifying the mass and stiffness parameters of a structure, a subset of its natural frequencies can be assigned. However, such an assignment is usually accompanied with changes of the remaining frequencies, known as ‘spillover’. Eigenvalue or frequency spillover often needs to be avoided in engineering. In this paper, a new and general method is proposed for assigning a subset of the natural frequencies of a structure with a low level of spillover through structural modifications. The method combines a multi-population genetic algorithm and a radial basis function neural network and is implemented in a MATLAB-PYTHON-ABAQUS data interaction system. It is suitable for theoretical models (for example, finite element models) of general structures. By means of three numerical examples, the ability of the method to assign subsets of frequencies to discrete and discretised continuous structures while maintaining low spillover is demonstrated.
Databáze: Directory of Open Access Journals
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