Standardized Assessment of Gravity Settling Human Body Models for Virtual Testing

2024-22-0001

08/28/2024

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Authors Abstract
Content
The increased use of computational human models in evaluation of safety systems demands greater attention to selected methods in coupling the model to its seated environment. This study assessed the THUMS v4.0.1 in an upright driver posture and a reclined occupant posture. Each posture was gravity settled into an NCAC vehicle model to assess model quality and HBM to seat coupling.
HBM to seat contact friction and seat stiffness were varied across a range of potential inputs to evaluate over a range of potential inputs. Gravity settling was also performed with and without constraints on the pelvis to move towards the target H-Point. These combinations resulted in 18 simulations per posture, run for 800 ms. In addition, 5 crash pulse simulations (51.5 km/h delta V) were run to assess the effect of settling time on driver kinematics. HBM mesh quality and HBM to seat coupling metrics were compared at kinetically identical time points during the simulation to an end state where kinetic energy was near zero.
A gravity settling time of 350 ms was found to be optimal for the upright driver posture and 290 ms for the reclined occupant posture. This suggests that reclined passengers can be settled for less time than upright passengers, potentially due to the increased contact area. The pelvis constrained approach was recommended for the upright driver posture and was not recommended for the reclined occupant posture. The recommended times were sufficient to gravity settle both postures to match the quality metrics of the 800 ms gravity settled time. Driver kinematics were found to be vary with gravity settling time. Future work will include verifying that these recommendations hold for different HBMs and test modes.
Meta TagsDetails
DOI
https://doi.org/10.4271/2024-22-0001
Pages
13
Citation
Wade von Kleeck, B., Caffrey, J., Weaver, A., Gayzik, F. et al., "Standardized Assessment of Gravity Settling Human Body Models for Virtual Testing," Stapp Car Crash Journal. 68(1):1-13, 2024, https://doi.org/10.4271/2024-22-0001.
Additional Details
Publisher
Published
Aug 28
Product Code
2024-22-0001
Content Type
Journal Article
Language
English

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