Integrated digital image correlation for mechanical characterization of carbon fiber-reinforced polymer plates
Stefan B. Lindström, Hannes Wemming, Zlatan Kapidžić, Mohamed Sahbi Loukil, Mikael Segersäll
Abstract
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.
Topics & Concepts
Digital image correlationMaterials scienceComposite materialCarbon fiber reinforced polymerUltimate tensile strengthTensile testingTransverse planeModulusParameterized complexityTension (geology)PolymerStructural engineeringComputer scienceComposite numberAlgorithmEngineeringOptical measurement and interference techniquesStructural Health Monitoring TechniquesUltrasonics and Acoustic Wave Propagation