A study on the crash performance prediction method for dummy injury

Since 2010, The new car assessment program so-called NCAP has been applied to the passenger car sold in US. Among injury criteria, chest deflection at the 35mph Full-frontal impact is one of the most difficult injury criteria to predict and improve. Until now, to estimate the chest deflection, we have depended on the computer simulation method such as rigid multi-body system analysis program. The object of this study is to develop chest deflection prediction model by only using crash test data. We chose Shoulder Belt Load and Vehicle Crash Deceleration as 2 input factors causing chest deflection. After that, the Cross-Correlation Method has been used to predict chest deflection. As a result of applying the prediction model to mid-size family vehicles tested in NHTSA, the average prediction accuracy of maximum chest deflection between NHTSA test data and the value from our model was 90.4%.