The longevity of the structure is often affected by the initial design, where the critical material choices are made. To prove that, mixed multi-materials Audi A6-door model has been evaluated toward galvanic corrosion risks (corrosion initiation sites and corrosion intensity) by means of Computer Aided Analysis (CAA) approach. The Elsyca CorrosionMaster simulation technology has been used for this purpose. The obtained simulation results clearly indicate that undertaking predictive modeling practices in an early phase of the component design is instrumental in proper material selection for mixed multi-material assemblies. In the age of new metallic materials development, which is strongly demanded by the automotive industry, the effectiveness of the proper materials selection i

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