Optimization and robustness for crashworthiness of side impact
Optimization and robustness for crashworthiness of side impact
- Neue Suche nach: Gu, L.
- Neue Suche nach: Yang, R.J.
- Neue Suche nach: Tho, C.H.
- Neue Suche nach: Makowski, M.
- Neue Suche nach: Faruque, O.
- Neue Suche nach: Li, Y.
- Neue Suche nach: Gu, L.
- Neue Suche nach: Yang, R.J.
- Neue Suche nach: Tho, C.H.
- Neue Suche nach: Makowski, M.
- Neue Suche nach: Faruque, O.
- Neue Suche nach: Li, Y.
This paper presents a nonlinear response surface-based safety optimisation and robustness process. The stepwise regression and optimal Latin hyper cube sampling methods are employed to construct the 'efficient-to-compute' surrogate model. A sequential quadratic programming method with mixed types of variables is employed for the design optimisation. A reliability based design optimisation model for robust system parameter design of vehicle safety is proposed and a Monte Carlo based stochastic simulation is used to perform the robustness assessment and the reliability-driven robust design. The methodology has been applied to the vehicle crash safety design of side impact. It shows that a vehicle weight can be significantly reduced with an improved safety performance and with a higher level of confidence. CAE simulation is used to validate the optimal results.
Dokumentinformationen
Optimization and robustness for crashworthiness of side impact
Optimierung und Robustheit des aufprallgerechten Pkw-Modells bei einem Seitenaufprall
International Journal of Vehicle Design ; 26 , 4 ; 348-360
2001
13 Seiten, 2 Bilder, 9 Tabellen, 15 Quellen
Aufsatz (Zeitschrift)
Englisch
theoretisches Modell , Simulationsmodell , Monte-Carlo-Methode , stochastisches Modell , Aufprall , Pkw (Personenkraftwagen) , Fahrzeugsicherheit , Fahrzeugtür , Karosserie , Seitenband (Frequenzband) , Verkehrsunfall , Konstruktionsmethodik , rechnerunterstütztes Konstruieren , Rechnersimulation , Modellsimulation
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