2024-01-102024-01-102019-07Albak, E. İ. vd. (2019). "Impact attenuator conceptual design using lightweight materials and meta-modeling technique". Materialpruefung/Materials Testing, 61(7), 621-626.0025-5300https://doi.org/10.3139/120.111363https://www.degruyter.com/document/doi/10.3139/120.111363/htmlhttps://hdl.handle.net/11452/38917This study focuses on the use of lightweight design and optimization methodology as a computer aided approach to enhancing the conceptual design of an impact attenuator for a Formula SAE race car. The most important question answered here is how to improve conceptual design outlines to assist a designer with respect to an impact attenuator design. In this study, different tools for lightweight design and optimization are compared to find the most suitable procedures and optimization techniques for an impact attenuator design. The geometrical features used as design variables and constraints are defined according to Formula SAE rules. The optimization problem is solved using a genetic algorithm and sequential quadratic programming methods by means of meta-modeling techniques. It is found that lightweight design and optimization can be used to enhance the conceptual design outlines of an impact attenuator through EPP foam, kriging meta-modeling and genetic algorithm optimization techniques.eninfo:eu-repo/semantics/closedAccessFoam materialMaterials scienceImpact attenuatorSafetyMeta-modellingVehiclesOptimizationOccupantSamplingAlgorithmsGenetic algorithmsPerformanceOptimizationCellular materialsQuadratic programmingCrashworthiness optimizationSamplingConceptual designComputer aided-approachSequential quadratic programming methodFoam materialOptimization techniquesGenetic-algorithm optimizationsMeta-modellingImpact attenuatorsMeta-modeling techniqueArticle0004787585000032-s2.0-85072349744621626617Materials science, characterization & testingCrashworthiness; Energy Absorption; Tube