Regenerating cad Models with opencascade and pythonocc from numerical models with application to shape optimization

Micro Abstract Sensitivity filtering methods are unavoidable when numerical shape optimization is considered. A mortar based sensitivity filtering method which incorporates underlying CAD parametrization of the numerical models is proposed. The method is combined with a software environment which utilizes the capabilities of the opensource library OpenCASCADE and pythonOCC module respectively for the regeneration of the CAD models directly from the optimized numerical models as a result of the procedure.