The aorta, the body’s largest vessel, is prone to aneurysm due to high pressure, age, physiological and genetic factors. An aneurysm, a potentially fatal dilation and thinning of the wall, has rupture as the main risk. Predicting rupture is difficult since imaging and guidelines are often insufficient. Computational fluid dynamics (CFD) explores hemodynamics and disease progression but assumes rigid walls, limiting accuracy. Fluid–structure interaction (FSI), which accounts for vascular distensibility, allows more accurate analyses, with a more realistic simulation of the hemodynamics and estimation of structural stresses in the wall. This work applies a semi-automatic FSI pipeline to a patient-specific ascending thoracic aortic aneurysm (ATAA), including wall property identification for a more accurate biomechanical assessment.