The decision on commonality configurations of a vehicle architecture has to be made in early phase of
vehicular crashworthiness design to achieve the functional feasibility and economic efficiency. In this design
phase, neither the hardware is available, nor the classical virtual methods can be applied. To evaluate the
design feasibility efficiently, the Solution Space approach is extended to be able to evaluate the entire vehicle architecture. In this dissertation, an approach to identify the vehicle architecture configurations with feasible crashworthiness design and satisfactory commonality is developed and validated.
Lailong Song
Combinatorial Optimization Commonality Optimization Early Phase Design Load Path Analysis Low-fidelity Vehicle Model Predictive Elimination Rear Impact Simplified Barrier Modeling Solution Spaces Vehicle Architecture Design Vehicular Crashworthiness