• Journal of Auto-vehicle Safety Association
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• v.4 no.1
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• pp.18-22
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• 2012

The US-NCAP was rated by the head and chest injury, but the new US-NCAP requires various dummy injury parts such as head, neck, chest, and femur. So, new restraint systems are needed. Particularly, the knee bolster must meet both unbelted and belted test condition requirements. This paper analyzed the dummy response of both test condition and suggested a knee bolster F-D requirement as well as a new knee bolster structure.

• Journal of Auto-vehicle Safety Association
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• v.8 no.4
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• pp.12-17
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• 2016

NHTSA (National Highway Traffic Safety Administration) has offered consumers the vehicle safety information on their car since 1978. NHTSA believes that they contribute auto makers to develop safer vehicle for customers, which will result in even lower numbers of deaths and injuries resulting from motor vehicle crashes. NHTSA has been studied why people are still dying in frontal test despite of the use of many restraints system and they understand that current test does not reflect real world crash data such as oblique and corner impact test. As a result, NHTSA announced that a new test method will be introduced to use of enhanced biofidelic dummy and new crash avoidance technology evaluation from 2019. New and refined injury criteria will be applied to Head / Neck / Chest / Lower Leg. BrIC(Brain Injury Criterion)value in NHTSA test results using THOR dummy from 2014 to 2015 was average 0.91 and 1.24 in driver and passenger dummies. IIHS 64kph SOF test is the most likely to new frontal oblique test in an aspect of offset impact which is being studied by NHTSA. In this paper, we focused on head injury, especially brain injury - BrIC and conducted IIHS 64kph SOF (Small Offset Front) test with Hybrid III dummy to evaluate the injury for BrIC. Based on the test results, these data can be predicted BrIC level and US NCAP rating with current vehicle.

• Journal of Auto-vehicle Safety Association
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• v.5 no.2
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• pp.39-44
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• 2013

Motor vehicle crashes are the leading cause (70%) of children injury and fatality. 98% of Children under the age of 9 who came to emergency room with a traffic accident are not seated in CRS. Reduction in mortality when using CRS (NHTSA study), 71% for infants of 1-2 years old, 54% for 3-6 years old and 7-12 years old. It is very important and essential to use CRS for child passenger safety. But in Korean market, the CRS fitment rate is relatively low (20~40%). For European market, at the start of 2013, Euro NCAP started to check how easy it is to install the most common seats. And US market, NHTSA is planning a new consumer information program of CRS fitment for near future. This study examines CRS installation performance of 3 vehicles which are produced by GM Korea and 21 CRS which are based on sales volume in Korean market. Purpose of this study is to identify both vehicle and CRS design that causes bad interaction for CRS installation.

• Transactions of the Korean Society of Automotive Engineers
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• v.12 no.2
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• pp.131-138
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• 2004

In the proto design stage of a new car, the performances of an occupant protection system can be evaluated by CAE even though the real test should be carried out. The number of the real test is reduced by the exact predictions followed by the appropriate design recommendation. However, the existing researches using CAE in predicting the performances do not consider the uncertainties of parameters. That often leads to inconsistency between test and CAE. In this research, the robust design of a protection system such as airbag and load limiter is suggested considering the frontal crash. The parameter design scheme of the Taguchi method is introduced to obtain the robust design of arbitrary airbag and load limiter. It is performed based on the frontal crash test condition of US-NCAP with an arbitrary passenger car. The variances of the performances such as HIC, chest acceleration and probability of combined injury are calculated by the outer array and the Taylor series expansion. Through the analysis of the Taguchi method, the robust optimum is determined.