Multidisciplinary design optimization methods for automotive structures
(English)Manuscript (preprint) (Other academic)
Multidisciplinary design optimization (MDO) can be used as an effective tool to improve the design of automotive structures. Large-scale MDO problems typically involve several groups who must work concurrently and autonomously in order to make the solution process efficient. In this article, MDO methods are assessed in relation to the characteristics of automotive structural applications. Both multi-level optimization formulations, such as collaborative optimization and analytical target cascading, and single-level optimization formulations are considered. Multi-level optimization methods distribute the design process but are complex. When optimizing automotive structures, metamodels are often required to relieve the computational burden of detailed simulation models. The metamodels can be created by individual groups prior to the optimization process, and therefore offer a way of distributing work. A single-level method in combination with metamodels is consequently the most straightforward way of implementing MDO into the development of automotive structures.
Multidisciplinary design optimization; single-level optimization methods; multilevel optimization methods; automotive structures
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-88134OAI: oai:DiVA.org:liu-88134DiVA: diva2:601779