Numerical Reproducibility of Human Body Model Crash Simulations
Paper i proceeding, 2021

The numerical reproducibility of a Finite Element (FE) Human Body Model (HBM) was evaluated by
quantifying the variation in model predictions for diverse computer systems at different sites and settings.
Repeated simulations, with varying number of Central Processing Unit (CPU) cores and model decomposition, of
four high severity load cases – a full frontal, near-side frontal oblique and side impact with a full set of driver
restraints, as well as a full frontal with a seat belt only restraint – was carried out on five computer systems. HBM
responses were found to vary randomly with the Number of CPU cores (NCPU), but not due to different hardware
or message parsing interface software at each computer system used. Implemented HBM updates reduced the
variation in the near-side frontal oblique load case. When the NCPU used was fixed, identical results were
obtained from all computer systems. This means the variation of HBM responses is due to the model
decomposition. It is possible to quantify the numerical reproducibility of an FE HBM by repeated simulations,
varying the NCPU and analyzing the coefficient of variation of the responses.

Human Body Model

Virtual Testing

Reproducibility

Finite Element

Författare

Jonas Östh

Chalmers, Mekanik och maritima vetenskaper, Fordonssäkerhet

Bengt Pipkorn

Chalmers, Mekanik och maritima vetenskaper, Fordonssäkerhet

Jimmy Forsberg

Dynamore Nordic AB

Johan Iraeus

Chalmers, Mekanik och maritima vetenskaper, Fordonssäkerhet

Conference proceedings International Research Council on the Biomechanics of Injury, IRCOBI

22353151 (ISSN)

Vol. 2021-September 431-443 IRC-21-51

2019 IRCOBI Conference Proceedings - International Research Council on the Biomechanics of Injury
Online, ,

Ämneskategorier

Datorteknik

Teknisk mekanik

Farkostteknik

Styrkeområden

Transport

Infrastruktur

C3SE (Chalmers Centre for Computational Science and Engineering)

Mer information

Senast uppdaterat

2024-07-17