• Journal of the Korean Society of Clothing and Textiles
• /
• v.29 no.6
• /
• pp.837-846
• /
• 2005

The purpose of this study is to suggest a standard of guidance for testing the performance and safety of motorcycle jacket with built-in airbag. The method of testing were as follows: The effects of the motorcycle jacket with built-in airbag are experimentaly investigated according to neck injury of FMVSS 208. The experiment consists of the crash simulation test by shield and the impact test. The head and neck injuries are evaluated based on industrial standards. Also, the displacements of the head and neck and chest are observed by film analysis. Using the results of the crash simulation test, neck injury$(N_ij)$ is discussed and the peak chest deflection of the results of the impact test, chest injury is pursued. Neck injury$(N_ij)$ of the result of the crash test show that the chance of a serious wound is $18\%$ if rider wear the R&D motorcycle jacket with built-in airbag(Type A). Chest injury is expected by peak chest deflection of the result of the impact test. The result of the peak chest deflection show that the reduction effect in chest injury of Type A motorcycle jacket is $10.3\%$.

• Journal of Auto-vehicle Safety Association
• /
• v.15 no.1
• /
• pp.55-62
• /
• 2023

In this study, a chest deflection is predicted by introducing a deep learning technique with the results of the frontal impact of the USNCAP conducted for 110 car models from MY2018 to MY2020. The 120 data are divided into training data and test data, and the training data is divided into training data and validation data to determine the hyperparameters. In this process, the deceleration data of each vehicle is averaged in units of 10 ms from crash pulses measured up to 100 ms. The performance of the deep learning model is measured by the indices of the mean squared error and the mean absolute error on the test data. A DNN (Deep Neural Network) model can give different predictions for the same hyperparameter values at every run. Considering this, the mean and standard deviation of the MSE (Mean Squared Error) and the MAE (Mean Absolute Error) are calculated. In addition, the deep learning model performance according to the inclusion of CVW (Curb Vehicle Weight) is also reviewed.

• Journal of Auto-vehicle Safety Association
• /
• v.12 no.4
• /
• pp.31-38
• /
• 2020

This study is to develop the prediction model for the HIC15 in frontal vehicle crash tests. The 28 frontal impact test results of the MY2019 and MY2020 USNCAP are utilized. The metrics for evaluating the crash pulse severity such as moving average acceleration, Restraint Quotient (RQ) and ride-down efficiency are reviewed to find out whether the metrics can predict the HIC15. It is observed that the R² values based on the linear regression of all pairs between the existing metrics and the occupant injuries such as the HIC15, 3 ms chest g's and chest deflection are very low. In this study, using the vehicle crash pulses, the linear regression model for estimating the HIC15 is developed. The vehicle crash pulse is splitted seven 10 ms intervals in 70 ms after impact for extracting the average accelerations in each intervals. The prediction model can predict effectively not only the HIC15 but also the maximum head g's, chest deflection and 3 ms chest g's of 13 vehicles out of 28 vehicles.

• Transactions of the Korean Society of Automotive Engineers
• /
• v.20 no.5
• /
• pp.81-87
• /
• 2012

New car assessment program (NCAP) originated from USNCAP in 1979 has been implemented in several countries or markets, for instance USA, Europe, Korea, Japan, China and Australia. NCAP has contributed greatly to reduce accidental tolls. But recently, NCAP performance has no distinction between cars because manufacturer have been continuously developed to improve NCAP performance. Therefore, NHTSA announced new USNCAP protocol becoming effective from MY2011. NHTSA had carried out many NCAP tests based on the new test protocol and announced these test results. In this paper, USNCAP test results were reviewed by statistical method. This review was focused on passenger cars and frontal crash test results in order to investigate effect of changes in new NCAP protocol. There are two key changes, one is sited female dummy in passenger position, the other is enlarged to 4 scoring body regions in each dummy. Results of this review were summarized as followings. Performance in Passenger (12.5%) is lower than Driver's (50%) for number of 5 star vehicle. Neck injury criterion is dominant to NCAP star rating for both dummies in the mean sense. For standard deviation, chest deflection is showed largest value in driver dummy but neck injury criterion is showed for passenger's. DKAB and PKAB were equipped 28.1% and 6.2%, respectively. Consequently, the countermeasure for new USNCAP frontal crash test is essential to control well dummy kinematics with some safety features including KAB to reduce neck injuries.

• Transactions of the Korean Society of Automotive Engineers
• /
• v.21 no.2
• /
• pp.104-113
• /
• 2013

New USNCAP has been carried out by NHTSA including front and side crash from MY2011. In this paper, test results for USNCAP Side crash were reviewed by statistical analysis. This review focused on side crash test results to investigate the effect of changes from new USNCAP side crash test protocol among 30 passenger cars. These results were summarized as followings. Total number of 5 star vehicles on the front seat dummy (16 vehicles, 53.3%) was slightly smaller than the rear seat's (17 vehicles, 56.7%) in MDB test. For the ES-2re dummy, chest injury, ie maximum rib deflection contributed to 66% in the mean value of $P_{joint}$. Pelvis injury was highly dependent upon performance up to 87% in the SID-IIs dummy cited on the rear seat in average $P_{joint}$. For Pole test, pelvis injury made contribution to the average performance to 83%. For standard deviation, it showed the largest value in the same body region as the mean value for each dummy. Overall front seat performance showed 14 vehicles, 44.6% with 5 star vehicles less than each MDB or Pole test result. This result showed that performances in MDB test were different pattern to Pole test on driver position. Number of 5star vehicles for overall side NCAP performance are 18 passenger cars (60%). Curtain airbag and driver thorax airbag were equipped in all test vehicles. One vehicle is equipped with thorax airbag in the rear seat. Results from two side tests considered as reliability problem, ie the cause for large standard deviation in side crash test. Consequently, the countermeasure for new USNCAP side crash test is essential to design the effective side structures for side collision and to control well dummy kinematics with curtain and thorax airbag in order to reduce chest and pelvis injuries.

• Transactions of the Korean Society of Automotive Engineers
• /
• v.23 no.4
• /
• pp.420-427
• /
• 2015

This paper statistically reviewed for the USNCAP frontal crash test results carried out by NHTSA. Vehicle samples were selected on total 20 vehicles which were included on 15 vehicles for MPV&SUV and 5 Pickup. The results was summarized as followings. The performance for the driver was better than the passenger's in the average sense. There exist distinctions between the driver and the passenger on the USNCAP front test procedure, for example dummy size, seating position and airbag style. Therefore these differences originated in the statistical results. Main effect was Neck injury for crash performance on both dummies on the average value. Root cause of neck injury was different for each dummy, ie, the driver caused from Nte & Ntf, but the passenger did absolutely Nte mode. Reliability evaluated from the standard deviation was highly dependent upon chest injury on the driver and neck injury on the passenger. Restraint system was also summarized.

• Journal of Auto-vehicle Safety Association
• /
• v.3 no.2
• /
• pp.34-41
• /
• 2011

Side collisions (or side crash) account for 51.6% of all car to car accidents occurred in 2010. It is necessary to analyze those vehicles' structure deformation and passengers' injuries in the side collisions. A moving barrier (950kg) is currently used in the KNCAP side impact test. However, in order to enhance a passengers' safety in the side collisions, we introduce an AE-MDB (1500kg) which provides more severe conditions for this test. In this study, the test results using both barriers are compared and analyzed.

• Transactions of the Korean Society of Mechanical Engineers A
• /
• v.33 no.8
• /
• pp.799-806
• /
• 2009

Thoracic injury from restraint loading is the principle causative factor of death, which was shown to be particularly significant for older drivers. To characterize thoracic response to belt loading of older drivers, detailed finite element models of the adult and aged thorax were developed. The geometry of the 50th percentile adult male was chosen for the adult FE model. The thoracic FE model was validated against data obtained from results of PMHS pendulum impact tests. The quantified patterns of age-related shape and well-established material changes were applied to the adult model to develop the aged model. Belt force and chest deflection were applied to the developed two types of models. Rib and clavicle fracture risk obviously increased in the aged model. This finding showed that larger rib angle and reduced material properties of the ribcage produced more higher risk of injury in the older driver.

• Journal of Auto-vehicle Safety Association
• /
• v.3 no.2
• /
• pp.5-10
• /
• 2011

Under the full frontal crash event, seatbelt system is the most typical and primary restraint device that prevents the second impact between an occupant and vehicle interior parts by limiting the forward motion of an occupant in the vehicle occupant packaging space. Today's restraint systems typically include the three-point seat belt with the pretensioner and the load limiter. A pretensioner preemptively tightens the seat belts removing any slack between a passenger and belt webbing which leads to early restraint of a passenger. After that a load limiter controls level of belt load by releasing the belt webbing to reduce occupant injurys. In this study, load characteristics of load limiters are optimized by the computer simulation with a MADYMO model for a frontal impact against the rigid wall at 56kph and then we suggest performance requirements. We derived optimum load characteristic from the results using four vehicle simulation models represented by the vehicle. Based on the results, we suggest the performance from the results of the second optimization using the simulation considering the design and the standardization. Finally, the performance requirements is verified by the sled tests including the load limiter device for the full vehicle condition.

• Journal of Auto-vehicle Safety Association
• /
• v.7 no.1
• /
• pp.45-50
• /
• 2015

The protection of frontal seat passengers in both driver and front seated occupant has been more focused from the auto industries as well as regulatory bodies more than 40 years. Recently, their interests have been extended to rear seat occupants especially children and female occupants. However, the current available safety devices for the rear seat occupants are seat belt only. According to the previous researchers, the injury level of the rear seat passengers tend to be higher than the injury level of the frontal seat passengers. In this study, the optimal location of seat belts anchorages to enhance rear passengers crashworthiness are studied. FEM models are designed in accordance with regulation of KMVSS102, UN R44, UN R16, and UN R14. and three point belts are fitted on the HybridIII 5th percentile dummy and HybridIII 50th percentile dummy. The combined injury value used HIC15, Nij, Chest deflection, Femur force are used to evaluate rear seat belt anchorage optimal locations.