Crash worthiness design optimization using multipoint sequential linear programming
Crash worthiness design optimization using multipoint sequential linear programming
- New search for: Etman, L.F.P.
- New search for: Adriaens, J.M.T.A.
- New search for: Slagmaat, M.T.P. van
- New search for: Schoofs, A.J.G.
- New search for: Etman, L.F.P.
- New search for: Adriaens, J.M.T.A.
- New search for: Slagmaat, M.T.P. van
- New search for: Schoofs, A.J.G.
Crash worthiness design is characterized by a variety of design variables and several conflicting injury parameter demands. Computer simulation tools like MADYMO enable systematic improvements early in the design stage. One can for example analyse some different designs and select the best set of design variable values found. Although much cheaper than physical tests, crash worthiness simulations are computationally expensive. As a result, the number of designs that can be analysed is limited. A design optimization tool has been developed for the crash victim simulation software MADYMO. The crash worthiness optimization problem is characterized by a noisy behaviour of objective function and constraints. Additionally, objective function and constraint values follow from a computationally expensive numerical analysis. Sequential approximate optimization is used to deal with both the noisy functional behaviour and the high computational costs. By means of multipoint approximations, a sequence of linear programming problems is generated that can be easily solved. The optimization approach is illustrated for an analytical test problem and an industrial crash worthiness design problem.
Document information
Crash worthiness design optimization using multipoint sequential linear programming
Optimalauslegung Pkw hinsichtlich der Aufprallsicherheit mittels der sequentiellen Mehrpunkt-Linearoptimierung
Structural Optimization ; 12 , 4 ; 222-228
1996
7 Seiten, 7 Bilder, 5 Tabellen, 13 Quellen
Article (Journal)
English
Personenkraftwagen , rechnerunterstützter Entwurf , Software , Auslegung (Dimension) , lineare Optimierung , Zusammenstoß , Aufprall , Rechenzeit , Näherungsverfahren , Arbeitsablauf , Kostenersparnis , Konstruktionsdaten , Rechnersimulation , Finite-Elemente-Methode , Leistungssteigerung , Auswahlkriterium , Konvergenz , Simulationsmodell , Automatisierung , Sicherheit , Sicherheitsgurt , Lenksäule , Fahrzeugstilistik , Fahrzeugsitz , Zielfunktion , Airbag , Dummy
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