| With the growth of car ownership,traffic accidents occur frequently,which seriously affect the safety of human life and property.In vehicle collision accidents,there is a 27%probability of death when the driver’s chest injured.Therefore,it is of great significance to study the biomechanical response of driver’s chest injury in vehicle collision and analyze the factors leading to chest injury,so as to improve vehicle safety and reduce the degree of driver’s chest injury in collision accidents.In this thesis,the chest finite element model with Chinese human anatomy structure is established,and it is compared with the dummy finite element model in frontal crash simulation.The chest injury and its influencing factors are studied,which provides a certain reference for the optimization of driver restraint system.The specific research contents are as follows:(1)According to the CT data of driver’s sitting posture,a finite element model of human chest biomechanics is constructed.The biomechanical reliability of the model was verified by the classical chest cadaver experiment.(2)They are obtained that the acceleration pulse curve and the data of the driver’s chest injury through the real vehicle test of frontal impact.The validity of the finite element model is verified according to the damage.(3)The validated finite element manikin and Hybrid III dummy model are used for frontal impact simulation experiments to compare and analyze the degree of chest injury and evaluate the damage level,it can be seen that the human body finite element model has slightly less chest damage,but the both models have roughly the same level of assessment of chest damage.(3)It is analyzed that the influence of the parameters of the restraint system on the chest injury,and the objective function of the optimization design of the restraint system is constructed by the optimal Latin hypercube method.The chest injury is reduced through the optimization of the restraint syste,the chest compression decreased by 1.49%,the heart pressure decreased by 12.62%,and the lung pressure decreased by 4.9%. |