Study On Frontal40%Offset Crashworthiness Of A SUV

With the rapid development of today’s automotive technology, car ownershipexceeded100million in China. A large number of casualties caused by car accidentsbecome a major problem today. Automotive passive safety technologies as an importantmeans to reduce casualties caused by traffic accidents have become a research focus of theautomobile manufacturers and automotive research institutions.2007, China promulgatedthe offset crash car occupant protection laws (GB/T20913-2007).2009, China New CarAssessment Specification (C-NCAP) promulgated and implemented more stringent offsetcollision standards.This paper is mainly for vehicle56km/h offset collision. The study is offset collisionfinite element model of the vehicle that based on a prototype model of the SUV car, and inaccordance with national legislation requires to establish the deformable barrier used inthe test.Analysis of the original model results the following conclusions: vehicle accelerationpeak is too large, the collision side A-pillar and the intermediate beam deformation serious.Improvement projects are made to the vehicle model for the above problem. In the middleof the beam and A-pillar, stiffeners are added to change a serious distortion of theircollision. In order to reduce vehicle acceleration peak, optimizing the structure of the frontbeam, and adding transfer sleeve to increase the endurance and energy absorption of thenon-collision side. The results of the improved model are better than the original model.To further improve the model’s crash safety, this paper carries out a detailedoptimization of the passing sleeve structure and thickness of the material. Apply DPS dataprocessing system to uniform experimental design, then arrange testing and do the analogcomputation. Build relationships of vehicle acceleration, energy absorbing and forcetransmission to the transmission sleeve structure and material thickness by responsesurface theory. Use the MATLAB function to fit the above data to calculate the optimalsolution, and verify the results from the optimal solution of the model.Finally, the new model is to process a rigid barrier frontal crash test and compareswith the results of original model. The results show that the new model is a positivecontrast to the rigid barrier crash test results of the original model, and verify theeffectiveness of the optimization conclusions.