Ant colony algorithm based numerical solution for inverse bimodular problems
Received:June 29, 2014  Revised:August 16, 2014
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DOI:10.7511/jslx201406002
KeyWord:bimodulus  ant colony algorithm  parameter identification  FEM  regionally inhomogeneous
     
AuthorInstitution
张国庆 大连理工大学 工程力学系 工业装备结构分析国家重点实验室, 大连
杨海天 大连理工大学 工程力学系 工业装备结构分析国家重点实验室, 大连
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Abstract:
      A smoothing function technique is employed to smooth the 2-D bimodular constitutive model,and the initial stress method is used to solve FE equations of the 2-D forward bimodulur problem.Utilizing the solution of forward problem,a continuous ant colony algorithm (ACA) based numerical model is developed to solve the 2-D inverse bimodulur problem with the consideration of regional inhomogeneity,and single/combined identification of tensional/compressive modulus and Poisson ratio is realized.The proposed approach is verified via two numerical tests,and the impacts of parameters relevant to ACA,locations of measurement points and noisy data are taken into account,respectively.Numerical verification indicates that the proposed algorithm can be used to deal with the 2-D inverse bimodulur problem effectively with fairly good computing accuracy.