Finite Element Based Material Property Identification Utilizing Full-Field Deformation Measurements

2024
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Authors: Sreehari Rajan Kattil; Subramani Sockalingam; Michael A. Sutton; Tusit Weerasooriya
Published in: Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4
Publisher: Springer Nature Switzerland

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Abstract

This chapter explores the innovative use of full-field deformation measurements and finite element analysis for material property identification. Traditional coupon testing methods, while effective for homogeneous materials, fall short for heterogeneous materials like biomaterials and additively manufactured components. The authors introduce a direct method that transforms measured displacements into model parameters, bypassing the need for iterative procedures. This method is particularly effective for large datasets generated by non-contact measurement techniques such as digital image correlation (DIC). The direct approach, validated through theoretical formulations and simulations, demonstrates significant reductions in variability compared to conventional methods. The Petrov-Galerkin finite element formulation, in particular, shows promise in mitigating the impact of noise in strain data. This chapter is a must-read for those seeking advanced techniques in material property identification, offering a comprehensive overview of both traditional and cutting-edge methods.

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Title: Finite Element Based Material Property Identification Utilizing Full-Field Deformation Measurements
Authors: Sreehari Rajan Kattil
Subramani Sockalingam
Michael A. Sutton
Tusit Weerasooriya
Publisher: Springer Nature Switzerland
Book: Additive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4
Print ISBN: 978-3-031-50473-0

Electronic ISBN: 978-3-031-50474-7

Copyright Year: 2024
DOI: https://doi.org/10.1007/978-3-031-50474-7_12

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