• International Journal of Automotive Technology
• /
• v.6 no.5
• /
• pp.491-499
• /
• 2005

There are different types of vehicle impacts recorded every year, resulting in many injuries and fatalities. The severity of these impacts depends on the aggressivety and incompatibility of vehicle-to-roadside hardware impacts. The aim of this paper is to investigate and to enhance crashworthiness in the case of full barrier impact using a new idea of crash improvement. Two different types of smart structures have been proposed to support the function of the existing vehicle. The work carried out in this paper includes developing and analyzing mathematical models of vehicle-to-barrier impact for the two types of smart structures. It is proven from analytical analysis that the mathematical models can be used in an effective way to give a quick insight of real life crashes. Moreover, it is shown that these models are valid and flexible, and can be useful in optimization studies.

• Transactions of the Korean Society of Automotive Engineers
• /
• v.10 no.4
• /
• pp.234-241
• /
• 2002

In this study, the car crash analysis that simulates the crushing behavior of car forestructure during a frontal impact is carried out. The analysis model for front impact of a car consists of the lumped mass and the spring model. The characteristics value of masses and springs is obtained from the static analysis of a target car. The deceleration-time curve obtained from the simulation are compared with NCAP test data from the NHTSA. They show a good agreement with frontal crash test data. The deceleration-time curve of passenger compartment is classified into 3 stages; beginning stage, middle stage, and last stage. And the behavior of masses at each stage is explained. The effect of stiffness variation on deceleration of passenger compartment is resolved. The maximum loaded peak-time of torque box and dash is the main factor to control the passenger compartment's maximum deceleration.

• Journal of Auto-vehicle Safety Association
• /
• v.16 no.3
• /
• pp.47-54
• /
• 2024

MDB (Moving Deformable Barrier) is widely used over the world for the tests like frontal offset impact, side impact as well as frontal oblique impact. As autonomous vehicles are expected to come into the market in near future, new test protocols are required to secure the safety of the new type vehicles. MDB can be a versatile option for the new tests. In order to better understand the MDB, NHTSA oblique impact is chosen for the case study. NHTSA oblique impact test is about to be published and will be one of the newest test protocol using MDB, which bears technical know-how's built up from previous studies of MDB impacts. Compressive deformation behavior of the honeycomb of MDB is studied changing thickness of honeycomb structure. Delta-V is a good measure of impulse to the vehicle and is compared with varying weight of the MDB as well as its initial impact speed. Equivalence of delta-V with respect to momentum and kinetic energy is studied as well.

• Journal of Auto-vehicle Safety Association
• /
• v.10 no.3
• /
• pp.32-37
• /
• 2018

Recently, the driver can be assisted by the advanced active safety devices such as ADAS from road traffic risks. With this system, driver and passenger may freed from can driving tasks or kept eyes on forward direction while on the road. Help from adoptive cruise control, auto parking and newly develped automated driving vehicles technologies, the driver positions will vary significantly from the current standard driver position during the travel time. On this hypothesis, the objective of this study is analyze the behavior and injuries of drivers in the event of frontal impact under these abnormal driver position. Based on the KNCAP frontal impact testing method, this simulation matrix was set-up with dummies of 5 th tile female Hybrid III dummy and 50 th tile male Hybrid III dummy. The small sedan type passenger car was modeled in this simulation. The series of simulation was performed to compare the injuries and behaviour of each dummy, varying the seating status and seat position of each dummy.

• 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 Korean Neurosurgical Society
• /
• v.42 no.1
• /
• pp.1-5
• /
• 2007

Objective : We studied whether frontal skull base fracture has an impact on the occurrence and recovery of anosmia and/or ageusia following frontal traumatic brain injury (TBI). Methods : Between May 2003 and April 2005, 102 consecutive patients who had hemorrhage or contusion on the frontal lobe base were conservatively treated. Relevant clinical and radiographic data were collected, and assessment of impaired smell and taste sensation were also surveyed up to at least 12 months post-injury. Results : Among 102 patients, anosmia was noted in 22 (21.6%), of whom 10 had ageusia at a mean 4.4 days after trauma. Bilateral frontal lobe injuries were noted in 20 of 22 patients with anosmia and in all 10 patients with ageusia. Frontal skull base fracture was noted in 41 patients, of whom 9 (21.4%) had anosmia and 4 (9.5%) had ageusia. There was no statistical difference in the occurrence of anosmia and ageusia between patients with or without fracture. Of the 22 patients with anosmia, recovery from anosmia occurred in nine (40.9%) at the interval of 6 to 24 months after trauma, of whom six had frontal skull base fracture and three were not associated with fracture. Recovery of anosmia was significantly higher in patients without fracture than those with fracture (p<0.05). Recovery from ageusia occurred in only two of 10 patients at the interval of 18 to 20 months after trauma and was not eminent in patients without fracture. Conclusion : One should be alert and seek possibile occurrence of the anosmia and/or ageusia following frontal TBI. It is suggested that recovery is quite less likely if such patients have fractures on the frontal base, and these patients should wait for at least 6 to 18 months to anticipate such recovery if there is no injury to the central olfactory structures.

• Journal of Auto-vehicle Safety Association
• /
• v.12 no.1
• /
• pp.39-45
• /
• 2020

The express/intercity bus models have been developing for wheelchair users to provide the preferable long-distance travels by the Korean government research. In the previous studies, evaluation method was set up for the wheelchair users' safety and the study for wheelchair occupants' safety was performed under various crash loadings mimic to real accidents, frontal crash, side impact and rollover, etc. This study was focused on the evaluation of occupant behaviors and injuries (head and chest) during vehicle impact loading cases in order to ensure the safety of wheelchair passengers in the bus. The occupant response and belt loading data during the sled FE simulation were compared with those of the sled test. The simulation results showed overall safety tolerances of wheelchair occupants under the severe frontal deceleration, side impact loading based on the FMVSS 214 configuration and bus rollover loading.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.12 no.4
• /
• pp.1552-1558
• /
• 2011

In this paper, the automotive beam using aluminium foam is designed and the impact analysis is carried out. The analysis model is the beam of actual size with B- type section structure. At the frontal crash of low speed, ANSYS AUTODYN is used by predicting the behavior of deformation and its internal energy. By the use of 7075-T6 aluminum alloy, the weight is reduced as much as 55% than steel. The deformation at the bumper foam of aluminum is similar with that of steel and the impact energy reduction at aluminum is more than steel. The foam filled with aluminum as much as 50 % has more impact energy absorption than the completely filled aluminum foam.

• International Journal of Internet, Broadcasting and Communication
• /
• v.15 no.1
• /
• pp.140-144
• /
• 2023

In recent years, there are so many serious crashes involving coaches, especially the frontal collision occupies 40% of the front of the vehicle, Frontal collisions account for 100% of the front of the vehicle affecting the driver and side-impact collisions that injure the person in the vehicle. Therefore, the research into improving and optimizing the structure is necessary for risk of injury for passengers in frontal accidents. In this paper, we have designed a Shock absorber that can absorb collision energy. Research using HYPERMESH software. to build the finite element model and calculate the meshing to suit the mesh size of 5mm. apply LS-DYNA software to calculate structural strength. In the study, for a vehicle to collide with a hard obstacle occupying 100% of the head of the vehicle. Then, the experimental design method, Minitab is used for find the structural parameters in the design. Improvement results showed that the acceleration of the impact on passengers and the driver is decreased by 55,17%. The mass of texture improvements is reduced by 11%, according to the requirements of European Standards ECE R94.

• Journal of Auto-vehicle Safety Association
• /
• v.10 no.3
• /
• pp.7-12
• /
• 2018

The Korean New Car Assessment Program (KNCAP) is a program to evaluate the safety of automobiles. In the safety assessment method, there are frontal collision, partial frontal collision, side collision, pillar collision, and left stability in the collision safety category. Among them, Korean in-depth analysis data shows that there are a lot of side collision accidents and it is necessary to protect them. This study will analyze the side collision accident that occurred in actual traffic accident based on Korea In-Depth Accident Study (KIDAS) and investigate the effect of center airbag on passenger in under side collision. In addition, with simulated side collision scenarios in the various side impact directions, it was investigated how the center airbag affects the driver and passenger in terms of kinematic and injury levels.