Simulation Governance: Risk Mitigation

Access to high performance computing facilities, IT infrastructure, and process automation are driving productivity gains in CAE throughout. Analysts are able to simulate variation in system behavior for robust design through application of DFSS principles. 

Despite these recent advances, many engineering decisions may not involve direct CAE feedback due to the perceived risks associated with using model predictions to validate that the design meets the requirements. The CAE community often does not provide a quantitative confidence level related to the simulation back to the customer. Though, recently, guidelines have been developed by ASME, AIAA, NAFEMS, etc., for Verification and Validation of computational models. 

In this talk, the speakers presented the business opportunities for companies in quantifying simulation capability. Statistical methods to characterize uncertainties in both experimental and simulation outcomes were discussed. Case studies from the automotive industry were presented to illustrate the use of validation metrics along with recommendations for CAE analysts and customers.