Multi-Parameter Optimization Algorithm of Frequency-Dependent Model for Viscoelastic Damping Material

Abstract:

In order to obtain the parameters of viscoelastic damping material model, namely GHM, which account for frequency dependence and allow time-domain analysis of viscoelastic composite structure, a new optimization algorithm which is composed of particle swarm optimization(PSO) and sequential quadratic programming (SQP) algorithm is presented . The results are compared with those of standard rheological model and fractional derivative model as well as the experiment results. The results show that the hybrid algorithm can obtain the better optimum solution for the model and have a fast convergence , it will correctly describe the constitutive characteristics of viscoelastic damping material.

• Periodical: Advanced Materials Research (Volumes 129-131)
• Pages: 416-420
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.129-131.416
• Online since: August 2010
• Authors: Y.Q. Cao, Zhao Xiang Deng, J. Li, H.J. Liu
• Keywords: GHM Model, Multi-Parameter Optimization, PSO-SQP Hybrid Algorithm, Viscoelastic Damping

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