论文信息 - Optimization of Adhesive-Bonded Fiber Glass Strip using Imperialist Competitive Algorithm

Optimization of Adhesive-Bonded Fiber Glass Strip using Imperialist Competitive Algorithm

This paper presents an implementation of the Imperialist Competitive Algorithm (ICA) in optimization of intermediate epoxy adhesive layer which is bonded between two dissimilar strips of material. The recently introduced ICA has demonstrated excellent capabilities such as faster convergence and better global optimum achievement. The results of ICA are finally compared with the Finite Element Method (FEM) and Genetic Algorithm (GA). In application, comparison shows the success of ICA for designing adhesive joints in composite materials.

Behzad Abdi | Hamid Mozafari | Amran Ayob

[1] Ronald C. Averill,et al. A mesh-independent interface technology for simulation of mixed-mode delamination growth , 2004 .

[2] E. Plueddemann,et al. SILANE COUPLING AGENTS , 1982 .

[3] H. Ishida. A review of recent progress in the studies of molecular and microstructure of coupling agents and their functions in composites, coatings and adhesive joints , 1984 .

[4] A. Bunsell,et al. Micromechanisms of load transfer in a unidirectional carbon fibre–reinforced epoxy composite due to fibre failures. Part 1: Micromechanisms and 3D analysis of load transfer: The elastic case , 2006 .

[5] Ulf Stigh,et al. Specimen proposals for mixed mode testing of adhesive layer , 2006 .

[6] H. Ishida,et al. A review on the structure and characterization techniques of silane/matrix interphases , 1996 .

[7] Haralambos Sarimveis,et al. A line up evolutionary algorithm for solving nonlinear constrained optimization problems , 2005, Comput. Oper. Res..

[8] A. Bunsell,et al. Micromechanisms of load transfer in a unidirectional carbon fibre–reinforced epoxy composite due to fibre failures. Part 2: Influence of viscoelastic and plastic matrices on the mechanisms of load transfer , 2006 .

[9] Caro Lucas,et al. Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition , 2007, 2007 IEEE Congress on Evolutionary Computation.