Data-driven Oxidation Kinetic Model Construction of Silicon Carbide Composites

Silicon carbide fiber-reinforced silicon carbide matrix composites (SiCf/SiC) exhibit exceptional properties, including lightweight, high strength, superior heat resistance, and high fracture toughness. However, the material's inherent inhomogeneity, nonlinearity, anisotropy, and diverse failure modes make the damage and failure mechanisms of SiCf/SiC composites highly complex. This research integrates experimental methods with intelligent data analysis techniques to accurately characterize and predict the oxidation behavior and mechanical property evolution of SiCf/SiC composites under complex service conditions. By leveraging mechanical performance evolution data of SiCf/SiC in various single environments, along with Gaussian functions and parameter optimization methods, and incorporating the composite material's chemical reaction characteristics, an automatic construction of the oxidation kinetics model for SiCf/SiC under complex multi-field coupling environments was achieved based on data-driven strategy. The constructed SiCf/SiC oxidation kinetics model precisely delineates the relationship between the mechanical performance parameters after high-temperature oxidation in different environments and their service time. Furthermore, a complex coupling relationship model was developed that links the mechanical performance parameters with service time and service temperature. Experimental verification confirmed the accuracy and effectiveness of the constructed oxidation kinetics model in predicting the performance evolution of SiCf/SiC composites under various environmental conditions.