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Technical Paper

A Study on Deformation Behavior of Vehicle Cabin and Safety Belt Using a Most Probable Optimal Design Method

2001-10-01
2001-01-3314
The design of automobile human safety is a very important design factor, which the car manufacturers have recently focused. Crash tests have provided information on dummy response measurements such as the maximum chest acceleration head injury criteria (HIC) value and femur loading. The subject of this research is an optimal design of the seat belt in consideration of the deformation behavior of a vehicle cabin with the aim of reducing the human injury. The research focuses on the optimization method of taking the comprehensive trade off between the global approximation and computational cost. The optimization approach called Most Probable Optimal Design (MPOD) proposed by the authors is modified to be applicable to the optimization of cabin crash deformation behavior and safety belt with the mixed discrete and continuous design variables. The application example of the Hybrid III dummy model shows that the MPOD technique is effective in saving the computational cost.
Technical Paper

Parameter Estimations for Characteristic Simulation Model of Hydraulically Damped Rubber Mount by Finite Element Method

2005-05-16
2005-01-2408
To predict dynamic characteristics of hydraulically damped rubber mount (HDM), some key parameters in lumped-parameter model of HDM, such as volumetric elastic characteristics of fluid chambers and equivalent piston cross-section area of upper chamber, must be determined in some special ways because of difficulty in experimental measurement. In this paper, a kind of simulation approach of volumetric elasticity is developed by using finite element (FE) code of ABAQUS on the basis of hydrostatic fluid-rubber interaction modeling method. Contributions of different rubber parts to volumetric elastic characteristics are revealed. Predications of dynamic characteristics and frequency response analysis of a typical HDM with fixed-decoupler verify the effectiveness of the proposed parameter identification method.
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