Genetic Algorithm Based Optimization of Box-Cross Section Modulus for Heavy Vehicle Chassis

Chassis is the most important structural member in the on-road vehicles. All the loads generated by other components of the vehicle are transferred to chassis only. So the chassis structure has to be strong enough to withstand the loads. In order to overcome failure in the chassis structure, the variable cross-section chassis structure has to be designed based on the variable loads along the length of the vehicle. In this work genetic algorithm has been used to optimize the chassis cross section height, width and thickness by using their mathematical relationship with section modulus. The objective function is to optimize the section modulus based on bending moment equation. The optimization process is automated using C++language. The optimum values of the chassis cross section parameters were found to be efficient in the design of chassis.