Meta-models are frequently used to offset high computational cost of crashworthiness optimization problems. Radial basis function based meta-models are gaining popularity among various meta-modeling techniques due to their ability to approximate non-linear responses with relatively low fitting cost. However, the performance of RBF networks is very sensitive to the choice of topology. In this pa...

The performance of radial basis function networks largely depends on the choice of topology i.e., location and number of centers, radius of influence. Thus finding the best network is a multi-level optimization problem. It is obvious that different criteria for optimization would result in different network topologies. A systematic study is carried out to compare the most widely used root mean ...

The National Highway Traffic Safety Administration’s (NHTSA) Vehicle Safety Rulemaking and Research Priority Plan 2009 – 2011 describes the projects the agency plans to work on in the rulemaking and research areas in those calendar years. Specific programs identified in the plan included research to improve vehicle safety for rear seat occupants, children, and older people. In support of the pr...

Many materials in nature exhibit excellent mechanical properties. In this study, we evaluated the bionic bumper structure models by using nonlinear finite element (FE) simulations for their crashworthiness under full-size impact loading. The structure contained the structural characteristics of cattail and bamboo. The results indicated that the bionic design enhances the specific energy absorpt...

Metamodel-based robust design methods are commonly used to mitigate the influence of parametric uncertainty associated in sheet gauges and material properties in crashworthiness-based vehicle lightweight design. Since the crash performances are highly nonlinear and high-dimensional responses, the prediction error of metamodels inevitably introduces the so-called metamodeling uncertainty in robu...

having a full understanding of the world’s social-economic situation is the success key for industries automotive manufacturing industry is an extremely competitive one usually there is no clear guideline among automotive companies about technological causes behind their success and failure. this research provides an investigation about the world’s economic situation and the environmental situa...

A systems modeling approach is presented for assessment of harm in the automotive accident environment. The methodology is presented in general form and then applied to evaluate vehicle aggressivity in frontal crashes. The methodology consists of parametric simulation of several controlled accident variables, with case results weighted by the relative frequency of each specific event. A hierarc...

Having a full understanding of the world’s social-economic situation is the success key for industries automotive manufacturing industry is an extremely competitive one usually there is no clear guideline among automotive companies about technological causes behind their success and failure. This research provides an investigation about the world’s economic situation and the environ...

Vehicle frontal crashworthiness analysis is an important topic in the field automotive community, as it relates to legislative requirements. Frontal crash models contain a large number of elements and therefore present high computational cost, especially when performing structural performance optimisations. A new numerical methodology proposed this paper with aim increase computation speed by i...