A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements

• URL: http://arxiv.org/abs/2505.18784v1
• Date: Sat, 24 May 2025 16:47:36 GMT
• Title: A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements
• Authors: Jihong Wang, Chung-Hao Lee, William Richardson, Yue Yu,
• Abstract summary: We present a novel approach to process the DIC measurements of multiple biaxial stretching protocols.<n>In particular, we develop a optimization-based approach, which calculates the smoothed nodal displacements using a moving least-squares subject to positive strain constraints.<n>We further deploy a data-driven workflow to heterogeneous material modeling from these physically consistent DIC measurements.
• Score: 9.296791365067628
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: In this work, we present a novel approach to process the DIC measurements of multiple biaxial stretching protocols. In particular, we develop a optimization-based approach, which calculates the smoothed nodal displacements using a moving least-squares algorithm subject to positive strain constraints. As such, physically consistent displacement and strain fields are obtained. Then, we further deploy a data-driven workflow to heterogeneous material modeling from these physically consistent DIC measurements, by estimating a nonlocal constitutive law together with the material microstructure. To demonstrate the applicability of our approach, we apply it in learning a material model and fiber orientation field from DIC measurements of a porcine tricuspid valve anterior leaflet. Our results demonstrate that the proposed DIC data processing approach can significantly improve the accuracy of modeling biological materials.

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