Frontal Crash Tests - A Comparison of Methods

1994 ◽  
Author(s):  
Ingrid Planath-Skogsmo ◽  
Richard Nilsson
Keyword(s):  
Comparison Of Methods ◽  
Frontal Crash ◽  
Crash Tests

Evaluation of Human Body Dynamical Behaviour During Handling Maneuvers and Crash Test Simulations Using Multi-Body Codes

2006 ◽  
Author(s):  
Francesco Braghin ◽  
Paolo Pennacchi ◽  
Edoardo Sabbioni
Keyword(s):  
Rigid Body ◽  
Human Body ◽  
Dynamical Behaviour ◽  
Crash Test ◽  
Frontal Crash ◽  
Race Car ◽  
Body Dynamics ◽  
Multi Body ◽  
Vehicle Chassis ◽  
Crash Tests

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.

Seatbelt effectiveness for rear seat occupants in full and offset frontal crash tests

2011 ◽  
Vol 16 (1) ◽  
pp. 63-74 ◽  
Author(s):  
Koji Mizuno ◽  
Yasuhiro Matsui ◽  
Takahiro Ikari ◽  
Toshihiro Toritsuka
Keyword(s):  
Rear Seat ◽  
Frontal Crash ◽  
Crash Tests

Analysis of Lower Leg Injury of Occupant in Frontal Crash Tests Based on China NCAP Protocol

2011 ◽  
Vol 279 ◽  
pp. 400-405
Author(s):  
Zhi Xin Liu ◽  
Ren Jun Wan ◽  
Yong Wan Shi
Keyword(s):  
Test Data ◽  
Lower Leg ◽  
Lower Limbs ◽  
Vehicle Safety ◽  
Upper Limbs ◽  
Frontal Impact ◽  
Passenger Vehicle ◽  
Characteristic Parameters ◽  
Frontal Crash ◽  
Crash Tests

With the popularization of passenger vehicle safety devices such as safety belt, airbag and so on, the chance that occupant’s upper limbs were injured seriously was decreased significantly in frontal impact. However, the injury of occupant’s lower limbs became more and more severe, especially on lower leg injury. 37 groups of test data of China NCAP crash tests including full-frontal rigid crash and 40% offset deformable barrier crash were investigated in this paper, and lower leg injury distributing characteristic of drivers and passengers in these two kinds of crash configurations were obtained. Finally the effect rules of characteristic parameters on lower leg injury were summarized.

scholarly journals Evaluation of brain injury criteria based on reliability analysis

2021 ◽  
Vol 23 (1) ◽  
Author(s):  
Máté Hazay ◽  
Imre Bojtár
Keyword(s):  
Brain Injury ◽  
Reliability Analysis ◽  
Diffuse Axonal Injury ◽  
Tissue Level ◽  
Frontal Crash ◽  
Injury Criteria ◽  
Cumulative Strain ◽  
Injury Metrics ◽  
Risk Curves ◽  
Crash Tests

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.

Validation of Event Data Recorders in High Severity Full‑Frontal Crash Tests

2013 ◽  
Vol 1 (1) ◽  
pp. 76-99 ◽  
Author(s):  
Ada Tsoi ◽  
John Hinch ◽  
Richard Ruth ◽  
Hampton Gabler
Keyword(s):  
Event Data ◽  
Frontal Crash ◽  
High Severity ◽  
Crash Tests

scholarly journals CORRELATION ANALYSIS OF VEHICLE FRONTAL IMPACT PARAMETERS

2017 ◽  
Vol 12 ◽  
pp. 74 ◽  
Author(s):  
Josef Mík ◽  
Jana Kadlecová
Keyword(s):  
Correlation Analysis ◽  
Traffic Accident ◽  
Emergency Call ◽  
Vehicle Safety ◽  
Frontal Impact ◽  
Road Vehicle ◽  
Frontal Crash ◽  
Different Types ◽  
The Individual ◽  
Crash Tests

The article considers a possible improvement of road vehicle safety by using eCall – a system which initiates an emergency call in case of traffic accident. A possible way of better description of a frontal impact accident of a vehicle is examined and enriched by the information from the onboard e-call unit. In this article, we analyze results of frontal crash tests with different types of barriers and overlapping area and look for the correlation between the individual vehicle and collision parameters in order to provide a better description of the severity of the accident by the eCall system. The relation among the selected parameters is described using the correlation analysis.

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