Parameter identification is a key aspect in the modeling of material’s mechanical behavior. The quality depends on sensitivity test results to values constitutive parameters. In this context, variance-based analysis performed, order quantify influence material parameters biaxial cruciform specimen; particular Swift hardening law and Hill'48 anisotropic yield criterion forces, principal strains,...

Lightweighting materials (e.g., advanced high strength steels, aluminum alloys etc.) are increasingly being used by automotive companies as sheet metal components. However, accurate material models are needed for wider adoption. These constitutive material data are often developed by applying biaxial strain paths with cross-shaped (cruciform) specimens. Optimizing the design of specimens is a m...

This article presents an open-source Integrated Digital Image Correlation (I-DIC) software written in Python using CUDA-enabled GPUs designed to run at high (1–100 Hz) frequency. The field computation is performed a global approach and the result projection of real user-defined base fields. can be used many applications one use experimental mechanics demonstrated by driving bi-axial tensile tes...