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Large Scale Parameter Estimation Problems in Frequency-Domain Elastodynamics Using an Error in Constitutive Equation Functional.

Publication ,  Journal Article
Banerjee, B; Walsh, TF; Aquino, W; Bonnet, M
Published in: Computer methods in applied mechanics and engineering
January 2013

This paper presents the formulation and implementation of an Error in Constitutive Equations (ECE) method suitable for large-scale inverse identification of linear elastic material properties in the context of steady-state elastodynamics. In ECE-based methods, the inverse problem is postulated as an optimization problem in which the cost functional measures the discrepancy in the constitutive equations that connect kinematically admissible strains and dynamically admissible stresses. Furthermore, in a more recent modality of this methodology introduced by Feissel and Allix (2007), referred to as the Modified ECE (MECE), the measured data is incorporated into the formulation as a quadratic penalty term. We show that a simple and efficient continuation scheme for the penalty term, suggested by the theory of quadratic penalty methods, can significantly accelerate the convergence of the MECE algorithm. Furthermore, a (block) successive over-relaxation (SOR) technique is introduced, enabling the use of existing parallel finite element codes with minimal modification to solve the coupled system of equations that arises from the optimality conditions in MECE methods. Our numerical results demonstrate that the proposed methodology can successfully reconstruct the spatial distribution of elastic material parameters from partial and noisy measurements in as few as ten iterations in a 2D example and fifty in a 3D example. We show (through numerical experiments) that the proposed continuation scheme can improve the rate of convergence of MECE methods by at least an order of magnitude versus the alternative of using a fixed penalty parameter. Furthermore, the proposed block SOR strategy coupled with existing parallel solvers produces a computationally efficient MECE method that can be used for large scale materials identification problems, as demonstrated on a 3D example involving about 400,000 unknown moduli. Finally, our numerical results suggest that the proposed MECE approach can be significantly faster than the conventional approach of L(2) minimization using quasi-Newton methods.

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Published In

Computer methods in applied mechanics and engineering

DOI

EISSN

1879-2138

ISSN

0045-7825

Publication Date

January 2013

Volume

253

Start / End Page

60 / 72

Related Subject Headings

  • Applied Mathematics
  • 49 Mathematical sciences
  • 40 Engineering
  • 09 Engineering
  • 01 Mathematical Sciences
 

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Banerjee, B., Walsh, T. F., Aquino, W., & Bonnet, M. (2013). Large Scale Parameter Estimation Problems in Frequency-Domain Elastodynamics Using an Error in Constitutive Equation Functional. Computer Methods in Applied Mechanics and Engineering, 253, 60–72. https://doi.org/10.1016/j.cma.2012.08.023
Banerjee, Biswanath, Timothy F. Walsh, Wilkins Aquino, and Marc Bonnet. “Large Scale Parameter Estimation Problems in Frequency-Domain Elastodynamics Using an Error in Constitutive Equation Functional.Computer Methods in Applied Mechanics and Engineering 253 (January 2013): 60–72. https://doi.org/10.1016/j.cma.2012.08.023.
Banerjee B, Walsh TF, Aquino W, Bonnet M. Large Scale Parameter Estimation Problems in Frequency-Domain Elastodynamics Using an Error in Constitutive Equation Functional. Computer methods in applied mechanics and engineering. 2013 Jan;253:60–72.
Banerjee, Biswanath, et al. “Large Scale Parameter Estimation Problems in Frequency-Domain Elastodynamics Using an Error in Constitutive Equation Functional.Computer Methods in Applied Mechanics and Engineering, vol. 253, Jan. 2013, pp. 60–72. Epmc, doi:10.1016/j.cma.2012.08.023.
Banerjee B, Walsh TF, Aquino W, Bonnet M. Large Scale Parameter Estimation Problems in Frequency-Domain Elastodynamics Using an Error in Constitutive Equation Functional. Computer methods in applied mechanics and engineering. 2013 Jan;253:60–72.

Published In

Computer methods in applied mechanics and engineering

DOI

EISSN

1879-2138

ISSN

0045-7825

Publication Date

January 2013

Volume

253

Start / End Page

60 / 72

Related Subject Headings

  • Applied Mathematics
  • 49 Mathematical sciences
  • 40 Engineering
  • 09 Engineering
  • 01 Mathematical Sciences