Accompanying dataset for the paper "Numerical estimation and optimization of the fracture toughness in short-fibre ceramic matrix composites"

Contributions Sara Jimenez Alfaro: did contribute to writing, simulation, modelling Hyung-Jun Chang: did contribute to writing, modelling Dominique Leguillon: did contribute to modelling Sébastien Denneullin: did contribute to modelling, data Funding sources S. Jimenez-Alfaro acknowledges the Iberdrola Foundation under the Marie Skłodowska-Curie Grant Agreement No 101034297. She also acknowledges the support of the Ministerio de Ciencia e Innovación of Spain for his postdoctoral fellowship under reference JDC2023-050492-I. Data structure and information The .csv documents include the raw data of Figures 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 16, 17, 18, 19 y 20 in the manuscript. The .zip includes an executable file to test the code: Codes in the folder ccma_multifibers_pycodes: data - CSV raw data for reproducing the figures workflows toughcmc.py - central part of the code where the main functions are called. ccma_multifibers_pycodes - rest of the Python functions are stored toughcmc_fem.py - where the finite element method is executed using the solver FEniCSx, versión 7.3. datsim_dmoyf25_Vf10_pene_adim0_xpyp.json - main data related to the example of the executable file. In this case the example contains positive horizontal and vertical distances between the fibers. mesh_xpyp.py - code that builds the mesh of the example before any crack is generated. We use the gmsh software. mesh_xnyp.py, mesh_xpyn.py - Additional functions for other cases where either the horizontal or the vertical distance is negative. evaluate_on_points.py - Auxiliary function that is used to evaluate some functions in the finite element code at certain nodes of the mesh. Paper Description Achieving greater engine efficiency by increasing gas temperatures is a key challenge set by the European Commission for the aerospace industry by 2050. However, traditional metal alloys may fail under such extreme conditions. Ceramic matrix composites (CMCs) have emerged as a promising alternative, particularly short-fiber CMCs, which offer enhanced performance in components with complex geometries. This paper presents a novel computational framework to predict the fracture toughness of short-fiber CMCs based on the Coupled Criterion approach. The influence of various composite parameters has been systematically analyzed and validated against existing experimental data, demonstrating the model's reliability and potential as a robust design tool for next-generation aerospace applications.