Reduction of the Numerical Resource Requirements for Multidisciplinary Optimization

摘要

Increasing complexity in the vehicle and requirement portfolio combined with decreasing availability of hardware prototypes leads to new challenges in simulation-based vehicle development (stiffness, crash safety, passenger and pedestrian protection, etc.). Robust vehicle con c e pts have to be established in the early development phase. One tool for this are simulation-based optimization strategies. By integrating all load cases that are important for the components to be dimensioned (sill, side members, etc.), it is possible to generate an optimization result that represents the best possible compromise taking into account all relevant discipline-specific requirements. This Multidisciplinary Optimization (MDO) is vehicle- and not disciplineoriented. It identifies complex interrelationships, promotes development quality and reduces iterative coordination.