2012
DOI: 10.1007/s00158-012-0811-7
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Multiobjective optimization design for vehicle occupant restraint system under frontal impact

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Cited by 28 publications
(8 citation statements)
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“…The use of crashworthiness optimisation techniques was not limited to finding the optimal shape of a simple TW tube but also it is expanded to include finding an optimal design of a complete part or system for automotive industry such as car door [250], car bumper beam [251], vehicle roof structures [252], vehicle front body structure [253], vehicle full body structure [247], [254]- [257], vehicle restraint system [258], vehicle side [259], frontal energy absorbing structure of subway vehicle [260], and railway vehicle driver's cab [261].…”
Section: Summary Of Optimisation Researchesmentioning
confidence: 99%
“…The use of crashworthiness optimisation techniques was not limited to finding the optimal shape of a simple TW tube but also it is expanded to include finding an optimal design of a complete part or system for automotive industry such as car door [250], car bumper beam [251], vehicle roof structures [252], vehicle front body structure [253], vehicle full body structure [247], [254]- [257], vehicle restraint system [258], vehicle side [259], frontal energy absorbing structure of subway vehicle [260], and railway vehicle driver's cab [261].…”
Section: Summary Of Optimisation Researchesmentioning
confidence: 99%
“…Under the frontal collision condition, the vehicle occupant protection system is designed with the multi-objective optimization method to improve the vehicle occupant protection system by Gu et.al [12]. Considering the lightweight, bus stiffness and intensity, rolling safety and other factors, Su et.al carried out the multiobjective optimization design of the bus body frame and the experiments at the same time [13]. The bus body weight decreased 2.7% to ensure the vehicle body rigidity and strength performance.…”
Section: Multi-objective Multidisciplinary Optimizationmentioning
confidence: 99%
“…Furthermore, the design variables and response quantities are mathematically modeled and used to replace the original FEM to improve the calculating speed. This method has been widely applied in the optimization and iterative calculation of complex models, such as optimization design of occupant restraint system for safety guarantying, 14 vehicle suspension parameters for ride comfort improving, 15 and cab structure for interior nose reducing. 16 This study aims to propose a new method of low-noise structure optimization in accordance with approximation model for heavy commercial vehicle and is organized as follows.…”
Section: Introductionmentioning
confidence: 99%