Objective In response to the current challenges of unsystematic mechanical data for the porcine aorta, a lack of systematic criteria for constitutive model selection, and insufficient experimental validation of material parameters, this study aims to construct a high-fidelity hyperelastic mechanical parameter library for the porcine thoracoabdominal aorta through an integrated experimental and computational approach. Methods The complete aortas were harvested from 10 healthy adult domestic pigs. Each aorta was systematically dissected and divided into seven anatomical segments. Dumbbell-shaped specimens were prepared along the circumferential and axial directions from each segment. Uniaxial tensile testing to failure was performed to obtain stress-strain curves. Based on the experimental data, the fitting efficacy of five hyperelastic constitutive models was compared to select the optimal model. The grid search algorithm was employed for batch parameter fitting of the optimal model. Subsequently, the uniaxial tensile process was numerically simulated via finite element analysis to inversely