Comparison of roadside and vehicle crash test injury criteria in frontal crash tests

2008 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Douglas J. Gabauer ◽  
Hampton C. Gabler
Author(s):  
Francesco Braghin ◽  
Paolo Pennacchi ◽  
Edoardo Sabbioni

The dynamic behavior of the human body during race car maneuvers and frontal crash tests is analyzed in this paper. Both the vehicle and the human body have been modeled using the multi-body approach. Two commercial codes, BRG LifeMOD Biomechanics Modeler®, for the simulation of the human body dynamics, and MSC ADAMS/Car® for the modeling of the vehicle behavior, have been used for the purpose. Due to the impossibility of co-simulating, at first the accelerations on the driver’s chassis are determined using the vehicle’s multibody code and approximating the driver as a rigid body. Then, the calculated accelerations are applied to the vehicle chassis in the biomechanics code to assess the accelerations in various significant points on the driver.


2021 ◽  
Vol 23 (1) ◽  
Author(s):  
Máté Hazay ◽  
Imre Bojtár

Purpose: Among the proposed brain injury metrics, Brain Injury Criteria (BrIC) is a promising tool for performing safety assessment of vehicles in the future. In this paper, the available risk curves of BrIC were re-evaluated with the use of reliability analysis and new risk curves were constructed for different injury types based on literature data of tissue-level tolerances. Moreover, the comparison of different injury metrics and their corresponding risk curves were performed. Methods: Tissue-level uncertainties of the effect and resistance were considered by random variables. The variability of the tissue-level predictors was quantified by the finite element reconstruction of 100 frontal crash tests which were performed in Simulated Injury Monitor environment. The applied tests were scaled to given BrIC magnitudes and the injury probabilities were calculated by Monte Carlo simulations. New risk curves were fitted to the observed results using Weibull and Lognormal distribution functions. Results: The available risk curves of diffuse axonal injury (DAI) could be slightly improved, and combined AIS 4+ risk curves were obtained by considering subdural hematoma and contusion as well. The performance of several injury metrics and their risk curves were evaluated based on the observed correlations with the tissue-level predictors. Conclusions: The cumulative strain damage measure and the BrIC provide the highest correlation (R2 = 0.61) and the most reliable risk curve for the evaluation of DAI. Although the observed correlation is smaller for other injury types, the BrIC and the associated reliability analysis-based risk curves seem to provide the best available method for estimating the brain injury risk for frontal crash tests.


Author(s):  
Chung-Kyu Park ◽  
Cing-Dao (Steve) Kan ◽  
William Thomas Hollowell

A finite element (FE) model of a baseline and a light-weighted 2007 Chevrolet Silverado, which is a body-on-frame pickup truck, was utilized to evaluate the safety performance of a plastics and composite intensive vehicle (PCIV). By lightweighting steel components in the Silverado using advanced plastics and composites, the original vehicle weight, 2,307 kg, was reduced to 1,874 kg, which is about a 19.0% decrease. As a result, the light-weighted vehicle contains about 442 kg of plastic and composites, which represents about 23.6% of the total weight of the light-weight vehicle. These light-weighted components includes not only non-structural components, but also structural and semi-structural components, such as the bumpers, front-end modules, fenders, door impact beams, A- and B-pillar reinforcements, and ladder frame. The crash performance of these structural components was evaluated by the simulations of four vehicle crash tests: (1) frontal New Car Assessment Program (NCAP) test, (2) frontal Insurance Institute for Highway Safety (IIHS) offset test, (3) side NCAP test, and (4) Federal Motor Vehicle Safety Standards (FMVSS) 216 roof test. The results show that structural composite components in a vehicle are able to provide equivalent crashworthiness performance to the steel components in frontal and side crash and roof testing configurations.


Author(s):  
Saeed Barbat ◽  
Xiaowei Li

An analysis of the lower extremity responses in various frontal impact test configurations was performed. The THOR-LX anthropomorphic test device (ATD) representing a mid-size adult male was used. Four groups of frontal crash test data were analyzed. These groups included: Rigid Fixed Barrier (RFB), Moderate Overlap Offset Deformable Barrier (ODB), Small Overlap Rigid Barrier (SORB), and Oblique Impact (OI) crash tests.. This analysis indicated that the lower extremity responses could be high especially in the oblique impact and small overlap crash tests. This study focused on understanding the causes of the resulting high responses. ATD lower extremity kinematics and interaction with intruded body structure and/or instrument panel varied in the different frontal impact configurations. Therefore, the dominant causes of lower extremity responses in terms of tibia forces and moments were not the same for all frontal crash modes. Maximum Tibia Index results associated with the four groups of frontal impact tests were used to develop a better understanding of ATD kinematics and response mechanisms of the lower extremities. The contact sequence of the lower leg to vehicle interior components was illustrated for OI. This paper investigated the cause of lower extremity responses in these crash tests. Analysis indicated that the time at which maximum intrusion occurs did not necessarily coincide with the time of maximum lower extremity responses expressed by the Tibia Index.


2014 ◽  
Vol 29 (1) ◽  
pp. 41-48 ◽  
Author(s):  
Rafał Perz ◽  
Marek Matyjewski

Abstract The research on automotive safety usually involves crash test experiments. These tests are very expensive, often difficult to replicate, which may lead to serious loss. This paper shows the crash test reliability analysis and classifies the risk of failure of such experiment. 46 frontal crash tests were conducted with the use of crash test dummies. All the tests were prepared according to the standard operating procedure (SOP) and the strict check list was followed before each run. All the tests were categorized for loss and analyzed for the cause of failure. Then the probability of failure of crash test experiment was calculated. From 46 conducted tests, 6 failed, which is 13% of all the tests. The main reason of the test failures was human mistake. The results show that probability of loss during crash tests is very likel


2010 ◽  
Vol 68 (5) ◽  
pp. 1099-1105 ◽  
Author(s):  
Gabriel E. Ryb ◽  
Cynthia Burch ◽  
Timothy Kerns ◽  
Patricia C. Dischinger ◽  
Shiu Ho
Keyword(s):  

2000 ◽  
Author(s):  
Krishnakanth Aekbote ◽  
Srinivasan Sundararajan ◽  
Joseph A. Prater ◽  
Joe E. Abramczyk

Abstract A sled based test method for simulating full-scale EEVC (European) side impact crash test is described in this paper. Both the dummy (Eurosid-1) and vehicle structural responses were simulated, and validated with the full-scale crash tests. The effect of various structural configurations such as foam filled structures, material changes, rocker and b-pillar reinforcements, advanced door design concepts, on vehicle performance can be evaluated using this methodology at the early stages of design. In this approach, an actual EEVC honeycomb barrier and a vehicle body-in-white with doors were used. The under-hood components (engine, transmission, radiator, etc.), tires, and the front/rear suspensions were not included in the vehicle assembly, but they were replaced by lumped masses (by adding weight) in the front and rear of the vehicle, to maintain the overall vehicle weight. The vehicle was mounted on the sled by means of a supporting frame at the front/rear suspension attachments, and was allowed to translate in the impact direction only. At the start of the simulation, an instrumented Eurosid-1 dummy was seated inside the vehicle, while maintaining the same h-point location, chest angle, and door-to-dummy lateral distance, as in a full-scale crash test. The EEVC honeycomb barrier was mounted on another sled, and care was taken to ensure that weight, and the relative impact location to the vehicle, was maintained the same as in full-scale crash test. The Barrier impacted the stationary vehicle at an initial velocity of approx. 30 mph. The MDB and the vehicle were allowed to slide for about 20 inches from contact, before they were brought to rest. Accelerometers were mounted on the door inner sheet metal and b-pillar, rocker, seat cross-members, seats, and non-struck side rocker. The Barrier was instrumented with six load cells to monitor the impact force at different sections, and an accelerometer for deceleration measurement. The dummy, vehicle, and the Barrier responses showed good correlation when compared to full-scale crash tests. The test methodology was also used in assessing the performance/crashworthiness of various sub-system designs of the side structure (A-pillar, B-pillar, door, rocker, seat cross-members, etc.) of a passenger car. This paper concerns itself with the development and validation of the test methodology only, as the study of various side structure designs and evaluations are beyond the scope of this paper.


2000 ◽  
Author(s):  
Hikmat F. Mahmood ◽  
Fadhel Aouadi

Abstract This paper presents test data of more than 30 vehicles of different manufacturer, weight and front-end length. The relationships between the vehicle frontal NCAP pulse, the dummy response and the vehicle characteristics are shown in many figures. Vehicle frontal pulses were characterized and analyzed by considering different time zones within the pulse duration: bumper effect zone (0 ms. to 5 ms.), engine effect zone (18 ms. to 35 ms.), dummy engagement zone (48 ms. to 68 ms.). Also, ratios and delays between rocker pulse and the dummy chest and head pulses are computed and analyzed. The purpose of this study is not to develop a crash pulse but to generate design information that can assist in the design of front-end structure to meet injury criteria.


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