20.500.12556/RUL-182258 Towards single-test anisotropy calibration sensitivity, identifiability and validation of YLD2000-2d This paper revisits the long-standing question of how to fully characterise the in-plane plastic anisotropy of sheet metals without assembling evidence from multiple standardised tests. The central idea is pragmatic: a single, well-designed heterogeneous biaxial experiment can replace the conventional combination of uniaxial and equibiaxial tests if the specimen and the inverse identification method are co-designed to (i) activate informative stress states and (ii) maintain low strain gradients for accurate digital image correlation measurements. The proposed cruciform specimen is deliberately conceived as a benchmark configuration for full-field inverse identification, with known locations and stress-strain states at which relevant material information is embedded. The approach is coupled with a Finite Element Model Updating framework, enabling all anisotropy parameters of the YLD2000-2d model to be identified from a single full-field dataset. Sensitivity and identifiability analyses demonstrate that a physically based parameter formulation significantly improves the conditioning of the inverse problem. Virtual experimentation confirms the robustness and accuracy of the proposed “one-test” identification strategy. anisotropy digital image correlation finite element model updating material characterization anizotropija korelacija digitalnih slik metoda posodabljanja modela končnih elementov materialna karakterizacija MT2.0 true false true Angleški jezik Slovenski jezik Neznano 2026-05-05 13:49:25 2026-05-05 13:49:31 2026-05-06 04:29:09 0000-00-00 00:00:00 2026 0 0 8 str. Vol. 1049 2026 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 621.7:004.9 1662-9795 10.4028/p-jZ5Rxd 277073411 https://www.scientific.net/KEM.1049.107.pdf 1 352ea062-4878-11f1-b0ab-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=233355 RAZ_Starman_Bojan_2026.pdf RAZ_Starman_Bojan_2026.pdf 1 DEDB30180D52A17F10027EF23A816A44 7db916a2127500f4de2207d4ec6b7bddd7280fd638633b4e39d10594ce7d9302 d3faddf0-4878-11f1-b0ab-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=233356 Fakulteta za strojništvo 0 0 0