Author: Z. Jerry Wang and George Hu—Humanetics Innovative Solutions, Inc.
Abstract
This research investigated injury risk functions (IRF) for the THOR-AV 50th percentile male dummy in accordance with ISO TS18506, focusing on areas with design changes. The IRF development utilized a combination of physical tests and finite element (FE) model simulations. For certain postmortem human subject test cases lacking physical dummy tests, the validated Humanetics THOR-AV FE model (v0.7.2) was used to quickly generate data, with the understanding that final IRFs based on full physical test data might offer greater accuracy. Log-logistic, log-normal, and Weibull survival functions were fitted with 95% confidence intervals. The Akaike Information Criterion, Goodman-Kruskal-Gamma, Area under the Curve of Receiver Operating Characteristic, and Quantile-Quantile plot were employed to assess the prediction strength and relative quality of the final IRF selections. Among the three survival distributions, the Weibull distribution provided the best fit. The lumbar Fz was identified as the best indicator for lumbar spine injury, followed by Lij. The Fz injury risk values at 5%, 25%, and 50% probabilities are 2170N, 3560N, and 4856N for MAIS2+, respectively. The Lij injury risk values at 5%, 25%, and 50% probabilities are 0.44, 0.65, and 0.79 for MAIS2+, respectively. Abdomen pressure from APTS sensors was found to be a weak indicator for abdomen injury prediction, with injury risk values at 5%, 25%, and 50% probabilities being 128, 209, and 268 kPa for MAIS2+, respectively. The total ASIS force from the left and right ASIS load cells was a better injury predictor than the maximum ASIS load from the individual load cells, with injury risk values at 5%, 25%, and 50% probabilities being 542, 1872, and 3522 Newtons for MAIS2+, respectively.
Type: Full Paper
Keywords: dummy, frontal, injury risk function, reclined, THOR-AV
© Stapp Association, 2025
Access Additional Papers from This Volume
View additional Full Papers from the Stapp Car Crash Journal, Volume 69.
- Assessment of the Skull Fracture Prediction Capability of Finite Element Head ModelsAuthors: Clément Pozzi, Marc Gardegaront, Lucille Allegre, Philippe Beillas—Univ Lyon, Univ Lyon 1, Univ Eiffel, LBMC UMR_T9406, 69622 Lyon, France…
- Development of a Generic Nearside Impact Test Fixture for Evaluating In-Vehicle Crashworthiness of WheelchairsAuthors: Kyle Boyle, Jingwen Hu, Miriam Manary, Nichole R. Orton, Kathleen D. Klinich—University of Michigan Transportation Research Institute Abstract Current…
- Integration of Muscle Pre-tension and Activation to Evaluate Neck Muscle Strain Injury Risk during Simulated Rear Impacts Using a Finite Element Neck ModelAuthors: Matheus A. Correia, Stewart D. McLachlin, Duane S. Cronin—Department of Mechanical and Mechatronics Engineering, University of Waterloo Abstract Prevention…
- Investigation of Injury Risk Functions of THOR-AV 50th Percentile Male DummyAuthor: Z. Jerry Wang and George Hu—Humanetics Innovative Solutions, Inc. Abstract This research investigated injury risk functions (IRF) for the…
- Proposed Reformulation of Brain Injury Criteria (BrIC) Using Head Rotation-Induced Brain Injury Thresholds Simulated and Derived Directly from A Subhuman Primate Finite Element ModelAuthors: Dominic R. Demma, Ying Tao, Liying Zhang—Wayne State University; Priya Prasad—Prasad Engineering, LLC Abstract Recent studies have found that…
- Traumatic Head and Brain Injuries in Helmeted Motorcycle CrashesAuthor: John Lloyd—BRAINS, Inc Abstract This study presents an analysis of 364 motorcycle helmet impact tests, including standard certified full-face,…