TY - JOUR
T1 - A new stable inverse method for identification of the elastic constants of a three-dimensional generally anisotropic solid
AU - Hematiyan, M. R.
AU - Khosravifard, A.
AU - Shiah, Y. C.
N1 - Funding Information:
The last author acknowledges the partial financial support from the Ministry of Science and Technology of Taiwan (No. 102-2221-E-006-290-MY3).
PY - 2017/2/1
Y1 - 2017/2/1
N2 - This article presents a new approach for inverse identification of all elastic constants of a 3D generally anisotropic solid with arbitrary geometry via measured strain data. To eradicate the nonlinear inequality constraints posed on the elastic constants, the problem is first transformed to an unconstrained one by the Cholesky factorization theorem. The cost function is defined by the Tikhonov regularization method, and the inverse problem is solved using the damped Gauss-Newton technique, where a meshless method is employed for the direct and sensitivity analyses. To demonstrate the effectiveness of the proposed approach, several examples are presented in the end, where all experimental data are numerically simulated. Analyses of these examples show that all twenty-one elastic constants of an example material can be correctly identified even when measurement errors are relatively large and initial guesses are far from exact values.
AB - This article presents a new approach for inverse identification of all elastic constants of a 3D generally anisotropic solid with arbitrary geometry via measured strain data. To eradicate the nonlinear inequality constraints posed on the elastic constants, the problem is first transformed to an unconstrained one by the Cholesky factorization theorem. The cost function is defined by the Tikhonov regularization method, and the inverse problem is solved using the damped Gauss-Newton technique, where a meshless method is employed for the direct and sensitivity analyses. To demonstrate the effectiveness of the proposed approach, several examples are presented in the end, where all experimental data are numerically simulated. Analyses of these examples show that all twenty-one elastic constants of an example material can be correctly identified even when measurement errors are relatively large and initial guesses are far from exact values.
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U2 - 10.1016/j.ijsolstr.2016.11.009
DO - 10.1016/j.ijsolstr.2016.11.009
M3 - Article
AN - SCOPUS:85007002571
VL - 106-107
SP - 240
EP - 250
JO - International Journal of Solids and Structures
JF - International Journal of Solids and Structures
SN - 0020-7683
ER -