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Math @ Duke
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Publications [#355572] of Wilkins Aquino
Papers Published
- Chen, MJ; Aquino, W; Walsh, TF; Reu, PL; Johnson, KL; Rouse, JW; Jared, BH; Bishop, JE, A Generalized Stress Inversion Approach with Application to Residual Stress Estimation,
Journal of Applied Mechanics Transactions ASME, vol. 87 no. 11
(November, 2020) [doi]
(last updated on 2025/12/31)
Abstract: We develop a generalized stress inversion technique (or the generalized inversion method) capable of recovering stresses in linear elastic bodies subjected to arbitrary cuts. Specifically, given a set of displacement measurements found experimentally from digital image correlation (DIC), we formulate a stress estimation inverse problem as a partial differential equation-constrained optimization problem. We use gradient-based optimization methods, and we accordingly derive the necessary gradient and Hessian information in a matrix-free form to allow for parallel, large-scale operations. By using a combination of finite elements, DIC, and a matrix-free optimization framework, the generalized inversion method can be used on any arbitrary geometry, provided that the DIC camera can view a sufficient part of the surface. We present numerical simulations and experiments, and we demonstrate that the generalized inversion method can be applied to estimate residual stress.
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