Analysis of Bulky Crash Simulation Results: Deterministic and Stochastic Aspects

Autor:	Lialia Nikitina, Igor Nikitin, Tanja Clees, Clemens-August Thole
Rok vydání:	2013
Předmět:	Mathematical optimization Crash simulation Computer science Stochastic process Reliability (computer networking) Benchmark (computing) Crash Variation (game tree) Sensitivity (control systems) Multi-objective optimization Simulation
Zdroj:	Advances in Intelligent Systems and Computing ISBN: 9783642343353 SIMULTECH (Selected Papers)
Popis:	Crash simulation results show both deterministic and stochastic behavior. For optimization in automotive design it is very important to distinguish between effects caused by variation of simulation parameters and effects triggered, for example, by buckling phenomena. We propose novel methods for the exploration of a simulation database featuring non-linear multidimensional interpolation, tolerance prediction, sensitivity analysis, robust multiobjective optimization as well as reliability and causal analysis. The methods are highly optimized for handling bulky data produced by modern crash simulators. The efficiency of these methods is demonstrated for industrially relevant benchmark cases.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e397f4a4adafd51cb0abf0eddf06d88a https://doi.org/10.1007/978-3-642-34336-0_15 Zobrazit plný text záznamu