Pelvis and spine injury predicting models for women and men in a variety of seating positions in future autonomous cars (I-HBM step 4)
Publication details: [Stockholm] : Fordonsstrategisk Forskning och Innovation. FFI, 2023Description: 26 sSubject(s): Online resources: Abstract: The SAFER human body model (HBM) was further developed and refined to improve the capability of the model to predict kinematics and injury risk for women and men of varying sizes. The main developments were to the pelvis and lumbar spine and the capability to predict injury risk in these. A statistical shape model of the pelvic bone was developed based on CT scans from 132 adults. The complete model represents 90% of the shape variance in the dataset, while it was shown that using overall anthropometric variables (sex, age, stature, and BMI) the model could predict only about 30% of the variance. Based on the statistical model a new detailed morphable pelvis finite element model was developed using the population average as baseline. The development of the pelvis model included calibration of the pubis symphysis, calibration and validation of the sacroiliac joint and complete pelvis model validation by reconstructing published quasi-static and dynamic lateral loading experiments. With the new pelvis model, a first step towards developing the capability to predict iliac wing fractures was taken. Lumbar spine models of an average female and an average male, in addition to a tissue-based injury risk function, were developed and validated. The kinematic and kinetic validation of the lumbar spine model showed that the model compared reasonable to the published experimental data, with axial compression and flexion predictions being closest to experimental results. Using the same method as for the lumbar spine, a model of the cervical and thoracic spine was also developed for later integration into the SAFER HBM.The SAFER human body model (HBM) was further developed and refined to improve the capability of the model to predict kinematics and injury risk for women and men of varying sizes. The main developments were to the pelvis and lumbar spine and the capability to predict injury risk in these. A statistical shape model of the pelvic bone was developed based on CT scans from 132 adults. The complete model represents 90% of the shape variance in the dataset, while it was shown that using overall anthropometric variables (sex, age, stature, and BMI) the model could predict only about 30% of the variance. Based on the statistical model a new detailed morphable pelvis finite element model was developed using the population average as baseline. The development of the pelvis model included calibration of the pubis symphysis, calibration and validation of the sacroiliac joint and complete pelvis model validation by reconstructing published quasi-static and dynamic lateral loading experiments. With the new pelvis model, a first step towards developing the capability to predict iliac wing fractures was taken. Lumbar spine models of an average female and an average male, in addition to a tissue-based injury risk function, were developed and validated. The kinematic and kinetic validation of the lumbar spine model showed that the model compared reasonable to the published experimental data, with axial compression and flexion predictions being closest to experimental results. Using the same method as for the lumbar spine, a model of the cervical and thoracic spine was also developed for later integration into the SAFER HBM.