Technical Papers
Sep 15, 2023

A Mixed Variational Framework for Eigenstrain and Residual Stress Reconstruction

Publication: Journal of Engineering Mechanics
Volume 149, Issue 11

Abstract

This paper proposes an inverse eigenstrain analysis procedure to estimate full-field residual stress from an incompletely measured residual elastic strain or stress field. The inverse problem is solved by minimizing the linear elastic constitutive relation discrepancy that arises from different admissible stress and strain fields within an alternating minimization framework. First, a standard forward thermoelastic problem is solved to obtain a statically admissible total strain field. Then, full-field residual stress (or elastic strain) that satisfies partial measurement is obtained by minimizing a Hellinger-Reissner-type energy functional under a mixed variational framework. We have used standard two and three-dimensional hybrid finite elements to obtain a stress field. Finally, a full-field eigenstrain field is obtained by minimizing constitutive disparity due to dissimilar elastic strain and total strain fields. We show the efficacy of the proposed procedure with some numerically obtained and experimentally reported data.

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Data Availability Statement

All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

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Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 149Issue 11November 2023

History

Received: Jan 7, 2023
Accepted: Jul 23, 2023
Published online: Sep 15, 2023
Published in print: Nov 1, 2023
Discussion open until: Feb 15, 2024

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Graduate Student, Dept. of Civil Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal 721302, India. ORCID: https://orcid.org/0000-0002-9215-5901
Associate Professor, Dept. of Civil Engineering, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal 721302, India (corresponding author). ORCID: https://orcid.org/0000-0002-6033-5510. Email: [email protected]

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