Structural Parameter Identification Based on Equivalent Single Degree Systems

Yan Wei Wang; Zi Fa Wang; Rui Zhi Wen

doi:10.4028/www.scientific.net/KEM.450.510

Paper Titles

Attenuation of Structurally Radiated Sound from an Elastic Cylindrical Shell by Local Vibration Control
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Selection of Artificial Boundary Condition on Soil-Structure Dynamic Interaction
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The Effect of Adhesive for Fillet on Stress in Weld-Bonded Joints
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Application of Optimization Analysis on Structure Damage Identification Based on ACO Algorithm
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Structural Parameter Identification Based on Equivalent Single Degree Systems
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Precise Mechanics Behavior Analysis Method of Mega Members and Nodes in Steel Mega-Frame Structures
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Application Analysis of an Improved N-R Iterative Method about Finite Element Numerical Calculation
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Investigation on Finite Strain Constitutive Model with Logarithmic Strain Based on Torsion Experiments
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Work Assignment Optimization Using Genetic Algorithms
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HomeKey Engineering MaterialsKey Engineering Materials Vol. 450Structural Parameter Identification Based on...

Structural Parameter Identification Based on Equivalent Single Degree Systems

Abstract:

In order to solve the problems of optimization algorithm used to identify the physical parameters of structures, a new method based on a series of equivalent single degree systems is proposed in this paper. The key idea of the method is that a multi-degree system can be represented by a series of single degree systems that can be identified one by one to perform the identification of the whole system. This method can not only decrease the dimensions of optimization algorithm, but also reduce the amount of estimation work in searching for the bound of parameters, and at the same time improve the identification results when parameters might suddenly change. In the numerical simulation of the physical parameter identification of a multi-degree system, Differential evolution is one of the optimization algorithm methods which are used to identify a series of equivalent single degree systems instead of the multi-degree system they represent, and the identification results prove that the method proposed in this paper is valid.

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Periodical:

Key Engineering Materials (Volume 450)

Pages:

510-513

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.450.510

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Online since:

November 2010

Authors:

Yan Wei Wang, Zi Fa Wang, Rui Zhi Wen

Keywords:

Differential Evolution (DE), Equivalent Single Degree Systems, Optimisation Algorithm, Parameter Identification

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References

[1] Sara Casciati: Structural Control and Health Monitoring. Vol. 15 (3) (2008), pp.436-449.

Google Scholar

[2] Marco Savoia and Loris Vincenzi: Journal of Earthquake Engineering. Vol. 12 (5) (2008), pp.800-821.

Google Scholar

[3] Hesheng Tang, Songtao Xue and Cunxin Fan: Computers and Structures. Vol. 86(21-22) (2008), p.2004-(2012).

Google Scholar

[4] Kenneth V. Price, Rainer M. Storn and Jouni A. Lampinen: Differential Evolution: A Practical Approach to Global Optimization (Springer-Verlag, Germany 2005).

Google Scholar

[5] Ferrante Neri and Ville Tirronen: Artificial Intelligence Review. Vol. 33 (1-2) (2010), pp.61-106.

Google Scholar

[6] Information on http: /www. icsi. berkeley. edu/~storn/code. html.

Google Scholar