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Integrated digital image correlation for mechanical characterization of carbon fiber-reinforced polymer plates
Mid Sweden University, Faculty of Science, Technology and Media, Department of Engineering, Mathematics, and Science Education (2023-). (FSCN)ORCID iD: 0000-0002-1503-8293
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2023 (English)In: Composite structures, ISSN 0263-8223, E-ISSN 1879-1085, Vol. 305, article id 116501Article in journal (Refereed) Published
Abstract [en]

We use integrated digital image correlation (IDIC) with gradient-free optimization to identify the in-plane, linear-elastic material parameters of carbon fiber-reinforced polymer (CFRP) plates. With IDIC, a monolithic least-squares problem is formulated, based on the video capture of a tension/compression test, with the material parameters as unknowns. Transverse deformations are induced by using holeplate specimens, so that all parameters are identified with one tensile test. We also demonstrate how an invariant-based CFRP model, parameterized by the Tsai modulus, further enhances the robustness of IDIC characterization. 

Place, publisher, year, edition, pages
2023. Vol. 305, article id 116501
Keywords [en]
Carbon fiber-reinforced polymer, Integrated digital image correlation, Material testing, Tsai's modulus
National Category
Applied Mechanics
Identifiers
URN: urn:nbn:se:miun:diva-46687DOI: 10.1016/j.compstruct.2022.116501ISI: 000906876000003Scopus ID: 2-s2.0-85143486901OAI: oai:DiVA.org:miun-46687DiVA, id: diva2:1720865
Available from: 2022-12-20 Created: 2022-12-20 Last updated: 2023-06-29Bibliographically approved

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Lindström, Stefan B

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