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Przemysław Kubiak
In car crash analysis three calculations methods can be distinguished: analytical (Campbell, McHenry, Strother, Prasad, Crash3 etc.), comparative and graphical (Lindquist et al., 2003; Prasad, 1990; Sharma et al., 2007; Wach and Unarski, 2006; Żuchowski, 2015) [15,23,25,29,33]. The number and reliability of these methods, in reference to modern vehicles and their structure, may lead to unclear conclusions. This issue proves to be significant, especially due to slight modifications of both input parameters and input data for the analysis of the method...
December 2017: Forensic Science International
Jai Singh
OBJECTIVE: The objective of this study was a thorough reconsideration, within the framework of Newtonian mechanics and work-energy relationships, of the empirically interpreted relationships employed within the CRASH3 damage analysis algorithm in regards to linearity between barrier equivalent velocity (BEV) or peak collision force magnitude and residual damage depth. METHODS: The CRASH3 damage analysis algorithm was considered, first in terms of the cases of collisions that produced no residual damage, in order to properly explain the damage onset speed and crush resistance terms...
2013: Traffic Injury Prevention
R Pride, D Giddings, D Richens, D S McNally
ΔV is frequently used to describe collision severity, and is often used by accident investigators to estimate speeds of vehicles prior to a collision, and by researchers looking for correlations between severity and outcome. This study identifies how ΔV varies over a wide range of input uncertainties allowing the direct comparison of different methods of input data collection in terms of their effect on uncertainty in the calculation of ΔV. Software was developed to implement this sensitivity analysis and was validated against examples presented in the CRASH3 manual...
June 2013: Accident; Analysis and Prevention
I Roberts, H Shakur, T Coats, B Hunt, E Balogun, L Barnetson, L Cook, T Kawahara, P Perel, D Prieto-Merino, M Ramos, J Cairns, C Guerriero
BACKGROUND: Among trauma patients who survive to reach hospital, exsanguination is a common cause of death. A widely practicable treatment that reduces blood loss after trauma could prevent thousands of premature deaths each year. The CRASH-2 trial aimed to determine the effect of the early administration of tranexamic acid on death and transfusion requirement in bleeding trauma patients. In addition, the effort of tranexamic acid on the risk of vascular occlusive events was assessed...
March 2013: Health Technology Assessment: HTA
Nicholas S Johnson, Hampton C Gabler
OBJECTIVE: Delta-V (ΔV), the magnitude of the velocity change experienced by a vehicle during a crash, is widely used as a predictor of injury risk. The National Automotive Sampling System/Crashworthiness Data System (NASS-CDS) uses the WinSMASH computer code to reconstruct ΔV based on postcrash vehicle deformation. WinSMASH, a direct descendant of CRASH3, first uses vehicle damage to estimate absorbed energy and then applies momentum conservation to estimate ΔV. This study aims to determine the accuracy of WinSMASH ΔV reconstructions for NHTSA side crash tests...
2012: Traffic Injury Prevention
Nicholas Johnson, Carolyn Hampton, Hampto C Gabler
Each year in the U.S., vehicle side crashes result in over 6,000 fatalities. Delta-V, the vehicle change in velocity, is a widely used measure of crash injury risk in real world crashes. However, delta-V is difficult to estimate accurately for side crashes using reconstruction codes such as CRASH3. Such codes are the source of a large portion of the delta-V values in crash databases, so their accuracy has a direct impact on injury risk prediction data. In this study, delta-V was first reconstructed for a series of 42 staged side impact crash tests using CRASH3...
2009: Biomedical Sciences Instrumentation
Xuedong Yan, Rami Harb, Essam Radwan
OBJECTIVE: Taking an effective corrective action to a critical traffic situation provides drivers an opportunity to avoid crash occurrence and minimize crash severity. The objective of this study is to investigate the relationship between the probability of taking corrective actions and the characteristics of drivers, vehicles, and driving environments. METHODS: Using the 2004 GES crash database, this study classified drivers who encountered critical traffic events (identified as P_CRASH3 in the GES database) into two pre-crash groups: corrective avoidance actions group and no corrective avoidance actions group...
June 2008: Traffic Injury Prevention
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