Acquiring dynamic material parameters of concrete dams is of great significance for verifying their seismic safety performance. At present

a common approach involves identifying the modal parameters of concrete dams from strong motion observation data and then constructing an objective function based on this information to optimize the material′s dynamic parameters. In this paper

modal parameters are identified based on strong motion observation data while simultaneously time-domain indicators from the seismic response sequence are extracted. A joint inversion of material dynamic parameters is conducted by constructing an objective function that combines both time-domain and frequency-domain information. Since the two objective functions differ in units and dimensions

a multi-objective optimization calculation is performed using the fast non-dominated sorting genetic algorithm with elitism strategies to obtain the Pareto optimal solution set for the dynamic material parameters of the concrete dam. Inversion analysis of a specific engineering case demonstrates that the joint inversion method for concrete dam material dynamic parameters based on time-frequency domain information exhibits strong parameter identification performance and high stability

offering good application prospects in practical projects.