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Estimation of structural stiffness with the use of Particle Swarm Optimization

Abstract

The paper presents the theoretical background and four applications examples of the new method for the estimation of support stiffness coefficients of complex structures modelled discretely (e.g. with the use of the Finite Element Model (FEM) method based on the modified Particle Swarm Optimization (PSO) algorithm. In real-life cases, exact values of the supports’ stiffness coefficients may change for various reasons (e.g. order of fastening, state of the contact surfaces, environment changes, etc.). Becaus e of the unknown coefficients, reliable simulations of fixed structure (i.e. mounted, assembled, not in a free-free state) are difficult to perform. The method serves as a tool to obtain good correlation between the FEM of a structure and the experimental data. Simple modal tests are required to estimate the first few modes of the fixed system. The FEM of the structure is considered in a free-free state and the support stiffness coefficients of the FEM are estimated by the proposed method. Further simulations with test - tuned and correlated complete FEM could be performed in time or frequency domain.

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Category:
Articles
Type:
artykuły w czasopismach
Published in:
Latin American Journal of Solids and Structures no. 18, pages 1 - 18,
ISSN: 1679-7825
Language:
English
Publication year:
2021
Bibliographic description:
Mazur M., Galewski M., Kaliński K.: Estimation of structural stiffness with the use of Particle Swarm Optimization// Latin American Journal of Solids and Structures -Vol. 18,iss. 2 (2021), s.1-18
DOI:
Digital Object Identifier (open in new tab) 10.1590/1679-78256400
Sources of funding:
Verified by:
Gdańsk University of Technology

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