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Injury Risk Curves for the WorldSID 50th Male Dummy
Technical Paper
2009-22-0016
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English
Abstract
The development of the WorldSID 50th percentile male dummy was
initiated in 1997 by the International Organization for
Standardization (ISO/SC12/TC22/WG5) with the objective of
developing a more biofidelic side impact dummy and supporting the
adoption of a harmonized dummy into regulations. More than 45
organizations from all around the world have contributed to this
effort including governmental agencies, research institutes, car
manufacturers and dummy manufacturers. The first production version
of the WorldSID 50th male dummy was released in March 2004 and
demonstrated an improved biofidelity over existing side impact
dummies.
Full-scale vehicle tests covering a wide range of side impact
test procedures were performed worldwide with the WorldSID dummy.
However, the vehicle safety performance could not be assessed due
to lack of injury risk curves for this dummy. The development of
these curves was initiated in 2004 within the framework of
ISO/SC12/TC22/WG6 (Injury criteria). In 2008, the ACEA-Dummy Task
Force (TFD) decided to contribute to this work and offered
resources for a project manager to coordinate of the effort of a
group of volunteer biomechanical experts from international
institutions (ISO, EEVC, VRTC/NHTSA, JARI, Transport Canada), car
manufacturers (ACEA, Ford, General Motors, Honda, Toyota, Chrysler)
and universities (Wayne State University, Ohio State University,
John Hopkins University, Medical College of Wisconsin) to develop
harmonized injury risk curves.
An in-depth literature review was conducted. All the available
PMHS datasets were identified, the test configurations and the
quality of the results were checked. Criteria were developed for
inclusion or exclusion of PMHS tests in the development of the
injury risk curves. Data were processed to account for differences
in mass and age of the subjects. Finally, injury risk curves were
developed using the following statistical techniques, the certainty
method, the Mertz/Weber method, the logistic regression, the
survival analysis and the Consistent Threshold Estimate. The paper
presents the methods used to check and process the data, select the
PMHS tests, and construct the injury risk curves. The PMHS dataset
as well as the injury risk curves are provided.