TY - CONF A1 - Lozano, Daniel A1 - Bulling, Jannis A1 - Prager, Jens T1 - Quadtree decomposition as a meshing strategy for guided waves simulations using the scaled boundary finite element method N2 - Structural health monitoring techniques associate strongly with damage detection and characterization. Ultrasonic guided waves (UGW), for such scope, arise as one of the most promising methods for many reasons i.e. UGW are able to travel long distances and they have high sensitivity to damage. In this context, the necessity to model realistic wave-defect interaction occurs to be critical. Realistic damage scenarios can be modeled through the usage of image-based quadtree meshes. Images, such as the outcome from X-ray scans, C-scans, etc., can be converted into meshes for further integration in a computational domain. Quadtree meshes are created by converting the intensity of the pixels to quadrilateral cells. Homogeneous regions inside one image result in one quad, whereas fine features such as discontinuities can be described with smaller quads. This contribution proposes an efficient methodology to model wave defect interaction, using as a framework the scaled boundary finite element method (SBFEM) and quadtree meshes. Problems as non-conforming regions in the mesh due to the space tree decomposition can be easily avoided using SBFEM’s polygonal elements. Moreover, the semi-analytical nature of the SBFEM allows the modeling of arbitrarily long prismatic/undamaged regions of the waveguides without an increase in the computational burden. T2 - DAGA 2022 CY - Stuttgart, Germany DA - 21.03.2022 KW - Wave defect interaction KW - Scaled Boundary Finite Element Method KW - Quadtree meshes KW - Image-based models KW - Transient analysis PY - 2022 SP - 887 EP - 890 CY - Stuttgart AN - OPUS4-57153 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -