Genetic Algorithm Based Optimization of Box-Cross Section Modulus for Heavy Vehicle Chassis
Main Article Content
Abstract
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.
Article Details
Issue
Section
Articles
Authors who publish with this journal agree to the following terms: a. Authors retain copyright and grant the journal right of first publication, with the work two years after publication simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal. b. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal. c. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).