Research Article
Numerical Simulation and Optimization of a Locally Built Midibus Structure in Quasi-static and Rollover Condition
@INPROCEEDINGS{10.1007/978-3-031-28725-1_7, author={Hailemichael Solomon Addisu and Ermias Gebrekidan Koricho and Adino Amare Kassie}, title={Numerical Simulation and Optimization of a Locally Built Midibus Structure in Quasi-static and Rollover Condition}, proceedings={Artificial Intelligence and Digitalization for Sustainable Development. 10th EAI International Conference, ICAST 2022, Bahir Dar, Ethiopia, November 4-6, 2022, Proceedings}, proceedings_a={ICAST}, year={2023}, month={3}, keywords={Crashworthiness Deformation FE methods Midibus Reinforcement Rollover}, doi={10.1007/978-3-031-28725-1_7} }- Hailemichael Solomon Addisu
Ermias Gebrekidan Koricho
Adino Amare Kassie
Year: 2023
Numerical Simulation and Optimization of a Locally Built Midibus Structure in Quasi-static and Rollover Condition
ICAST
Springer
DOI: 10.1007/978-3-031-28725-1_7
Abstract
Rollover crashworthiness concerns the ability of a vehicle’s structural system and components to absorb energies with complete protection of occupants in dynamic (rollover) crash scenarios. First, this study aims to analyze a locally built midibus structure in rollover crashes using numerical investigation (LS-DYNA) as stated by United Nations Regulation 66 (UNECE R66). Also, this study considered the quasi-static simulation to determine the energy absorbing and load-deformation behavior of the midibus frame sections. Then, the two alternatives in design optimization were presented via reinforcement design and numerical optimization (Successive Response Surface Method in LS-OPT) to improve the strength and weight of the midibus structure. As a rollover simulation result, the maximum deformation of the baseline structure occurred at pillar A and three bays. As a result, the baseline midibus structure failed the standard requirement and has unacceptable strength in both quasi-static and rollover simulation. Moreover, related to the baseline model, the structure’s weight of the reinforced Model was effectively reduced by 5.2%. However, an optimized model (using the Successive Response Surface Method) has reduced the weight of the reinforced model by 5.6%. Lastly, the Energy Absorption and Specific Energy Absorption of the baseline and the two alternative models were evaluated and compared.
