GAO parameter identification method in biomechanics

摘要

Based on the material parameter identification in biomechanics, a recently developed method, to be referred to as general algorithm optimisation (GAO), was introduced by Harb et al. (2011). In this paper, we write its generalised form. We also demonstrate its efficiency by considering the identification of the seven material parameters of the law (Peng et al. 2006), describing the nonlinear elasticity of the human intervertebral disc. The law accounts for the isotropy, the anisotropy and the fibre-matrix shear interaction of the tissue. Generally, the number of additive terms in the law defines GAO's gain over the reduction of the search space solution of the material parameter identification problem. With GAO, and for the law in Peng et al. (2006), it is reduced to only two dimensions instead of initially seven.