TY - JOUR A1 - Serrano-Munoz, Itziar A1 - Magnier, Vincent A1 - Dufrenoy, Philippe T1 - Identification of damage mechanisms in a metal-matrix composite material via digital volume correlation and finite element model updating N2 - A 3D experimental and numerical investigation of the damage mechanisms induced by compression in a metal matrix composite is presented. The investigated composite is a simplified version of those typically used for heavy-duty brake linings, comprising only nine constituents. The analysis combines laboratory X-ray computed tomography (XCT), image volume correlation (DVC), as well as image-based finite element method (FEM) paired with an inverse identification approach known as finite element model updating (FEMU). The combination of in situ XCT and DVC allows the rationalization of the mechanisms controlling strain localization and damage accumulation within the heterogeneous metal matrix. The damage mainly occurs in the form of fractured material within thin cell-walls located between large graphite G2 particles. In addition, the herein developed FEMU approach enables the identification of the elastic moduli of the two defined key constituents controlling the macroscopic compressive behavior (i.e., the Matrix –where eight of the nine constituents are lumped– and G2 particles), as well as the prediction of the damaged regions within the Matrix. It is emphasized that an implementation of the damage mechanisms within the FEMU is essential for a reliable numerical prediction of the compressive response of the composite. KW - Metallic brake lining KW - Compression tests KW - In situ X-ray computed tomography (XCT) KW - Image-based finite element method (FEM) KW - Damage mechanisms KW - Digital volume correlation (DVC) KW - Finite element model updating (FEMU) PY - 2025 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-639388 DO - https://doi.org/10.1016/j.mtcomm.2025.113459 SN - 2352-4928 VL - 48 SP - 1 EP - 13 PB - Elsevier Ltd. AN - OPUS4-63938 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -