Abstract:

As a key tool for automotive active and passive safety integration research， the biorealism and human characterization fitness of digital assessment models directly affect the reliability of virtual assessment. Currently， there is limitation in the study of the kinematic and biomechanical responses of large male occupants in automobile crashes. In this study， a digital assessment model （TUST IBMs M95-O） with high biofidelity for the 95^th percentile of Chinese physical characteristics is proposed based on the 95^th percentile male physical characteristics data from the China National Institute of Standardization and the CT medical images of volunteers. The validity of the model is evaluated from multiple perspectives by reconstructing cadaveric tests in five regions of the human body， including the shoulder， chest， abdomen， pelvis， and knee joints. It is also applied to compare with existing 5^th percentile female （TUST IBMs F05-O） and 50^th percentile male （TUST IBMs M50-O） human finite element models for low speed rear impact tests. The results show that the predicted results of the 15 sets of simulation tests have the same trend with the cadaver test data， all within the corresponding cadaver test channel， and the average difference between contact force and compression is within 10%， which verifies the validity of the model. In the low speed rear impact test， all three somatic models are consistent with the experimental kinematic responses of the volunteers. This model， as a human biomechanical model of the Chinese body signs series， fills the technical gap of injury prediction for large-sized male occupants， which can provide technical support for the establishment of virtual evaluation system of automobile crash safety.

Key words: the 95^th percentile Chinese male, occupant, digital evaluation, injury biomimetic model