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Fire incidents are among the most relevant for people in a tunnel. Therefore, it is important to be sufficiently prepared for such events. A large scale fire test is to be used to help evaluate the initial burning duration and the time it takes for the fire to spread to other vehicles in the tunnel, and in particular how long it takes for a truck carrying wooden pallets to catch fire, taking into consideration the extremely high temperatures. The goal, therefore, is to determine the time it takes for a fire to spread to other vehicles in the tunnel. In the large scale fire test, an accident in a tunnel with one-way traffic is simulated between a truck loaded with approximately 3.7 t of wooden Europol pallets and a passenger car. Directly behind each of the vehicles involved in the accident there is another car which stops at a distance of 1.0 m. Approximately 300 litres of burning diesel are discharged from the truck's fuel tank, which is simulated by using approximately 400 litres of isopropanol. A 10 m-² burning pool forms underneath the truck. Other objectives of the large scale fire test are the validation of the CFD models and the evaluation of the progression of the thermal release ratios estimated for the simulation. The thermal release ratios generated in the test are determined and evaluated using various models.
Federal highway A 26 in Germany : reinforced dams in soft soils - control method according DIN 1054
(2004)
In 2001 the construction of the Federal Highway A 26 in Lower Saxony (north of Germany) was started. In this area the underground is without any substantial bearing capacity as it consists of soft layers ( clay, peat) with a thickness of up to 12 m. Because it was not possible to exchange the soil neither completely nor partially pre-loading procedure (consolidation method) was chosen for this construction. Short- and long-term stability are ensured by the use of high-tensile fabrics for reinforcement at the dam basis. The vertical and horizontal deformations and the stress changes in the soil, caused by the pre-load procedure, has to be controlled by special geotechnical measurements. Additionally, in the higher parts of the dam the strain behaviour of the high-tensile fabrics is measured. These measurements form the basis for the application of the control method according DIN 1054. In this article, the special circumstances of this project are described. Further on the geotechnical measurements, the winning and evaluation of the necessary parameters of the subsoil, and the consequences of these data for the ongoing of the project are laid down. Intermediate results of the geotechnical measurements are described.
Since 2005, the motorcycle crash fatalities in the US exceeded 10% of the overall annual traffic fatalities. Consequently, it has become critical to gain in-depth understanding of the factors and characteristics contributing to motorcycle crashes. Unfortunately, there currently exists no database gathering the necessary information for an in-depth analysis of the US motorcycle crashes. So this study utilizes the NASS/CDS database (National Automotive Sampling System, Crashworthiness Data System) in order to gain insights into the patterns and factors leading to a NASS/CDS motorcycle crash, from 1997 to 2007. NASS/CDS samples about 5,000 passenger car tow-away crashes per year. Each case includes photographs and detailed data on crash and pre-crash characteristics, vehicle types, trajectories, types of impact, and other pertinent roadway and crash scene information, allowing an in-depth investigation of the crash mechanisms. However, the NASS/CDS sampling process specifically focuses on passenger car crashes, so the cases extracted only correspond to crashes in which a passenger vehicle was towed, and a motorcycle was somehow involved. Thus, a by-hand in-depth review of about 200 cases allowed retrieving 106 relevant crashes for this study, tending to represent the severe passenger vehicle(s) versus motorcycle(s) crashes on US roads. The findings lead to the conclusion that these crashes mostly result from the low conspicuity of the motorcycle, and from the inability of the car drivers to fully appreciate and anticipate the behavior of a motorcycle. Indeed, it has been shown that, first, the car drivers involved in these cases did not attempt any avoidance maneuver, second, they were largely of ages under 25, and finally, the majority of the crashes were in an intersection scenario. In addition, the two major scenarios unveiled were the car attempting a left turn from the opposite direction and the car attempting a left turn from the right. The paper mentions several solutions to enhance the motorcycle- conspicuity and to allow the car drivers to better anticipate its behavior, which seem to be key factors in the intersection-related crashes (and more generally in the passenger vehicle(s) versus motorcycle(s) crashes).
The head impact of pedestrians in the windscreen area shows a high relevance in real-world accidents. Nevertheless, there are neither biomechanical limits nor elaborated testing procedures available. Furthermore, the development of deployable protection systems like pop-up bonnets or external airbags has made faster progress than the corresponding testing methods. New requirements which are currently not considered are taken into account within a research project of BASt and the EC funded APROSYS (Advanced PROtection SYStems) integrated project relating to passive pedestrian protection. Testing procedures for head impact in the windscreen area should address these new boundary conditions. The presented modular procedure combines the advantages of virtual testing, including full-scale multi-body and finite element simulations, as well as hardware testing containing impactor tests based on the existing procedures of EEVC WG 17. To meet the efforts of harmonization in legislation, it refers to the Global Technical Regulation of UNECE (GTR No. 9). The basis for this combined hardware and virtual testing procedure is a robust categorization covering all passenger cars and light commercial vehicles and defining the testing zone including the related kinematics. The virtual testing part supports also the choice of the impact points for the hardware test and determines head impact timing for testing deployable systems. The assessment of the neck rotation angle and sharp edge contact in the rear gap of pop-up bonnets is included. For the demonstration of this procedure, a hardware sedan shaped vehicle was modified by integrating an airbag system. In addition, tests with the Honda Polar-II Dummy were performed for an evaluation of the new testing procedure. Comparing these results, it was concluded that a combination of simulation and updated subsystem tests forms an important step towards enhanced future pedestrian safety systems considering the windscreen area and the deployable systems.
It has been pointed that most of the accidents on the roads are caused by driver faults, inattention and low performance. Therefore, future active safety systems are required to be aware of the driver status to be able to have preventative features. This probe study gives a system structure depending on multi-channel signal processing for three modules: Driver Identification, Route Recognition and Distraction Detection. The novelty lies in personalizing the route recognition and distraction detection systems according to particular driver with the help of driver identification system. The driver ID system also uses multiple modalities to verify the identity of the driver; therefore it can be applied to future smart cars working as car-keys. All the modules are tested using a separate data batch from the training sets using eight drivers" multi-channel driving signals, video and audio. The system was able to identify the driver with 100% accuracy using speech signals of length 30 sec or more and a frontal face image. After identifying the driver, the maneuver/ route recognition was achieved with 100% accuracy and the distraction detection had 72% accuracy in worst case. In overall, system is able to identify the driver, recognize the maneuver being performed at a particular time and able to detect driver distraction with reasonable accuracy.
Ruptures and dissections of the thoracic and abdominal aortic vessel caused by traffic accidents are rare but potentially life-threatening injuries. They can occur by blunt trauma via seat belt or dashboard injury. The study aimed at evaluating the overall mortality, morbidity, neurological disorders, and differences in operative procedures of open repair and stenting. It shows that, with a change and improvement in diagnostic tools and surgical approach, mortality and morbidity of blunt aortic injuries were significantly reduced. Still an immediate life-threatening injury early diagnosis via multiple-slice and scans and surgical repair with minimally invasive stents showed excellent short-time results for selected patients.
Still correlated with high mortality rates in traffic accidents traumatic aortic ruptures were frequently detected in unprotected car occupants in the early years. This biomechanical analysis investigates the different kinds of injury mechanisms leading to traumatic aortic injuries in todays traffic accidents and how the way of traffic participation affects the frequency of those injuries over the years. Based on GIDAS reported traffic accidents from 1973 to 2014 are analyzed. Results show that traumatic aortic injuries are mainly observed in high-speed accidents with high body deceleration and direct load force to the chest. Mostly chest compression is responsible for the load direction to the cardiac vessels. The main observed load vector is from caudal-ventral and from ventral solely, but also force impact from left and right side and in roll-over events with chest compression lead to traumatic aortic injuries. Classically, the injury appeares at the junction between the well-fixed aortic arch and the pars decendens following a kind of a scoop mechanism, a few cases with a hyperflexion mechanism are also described. In our analysis the deceleration effect alone never led to an aortic rupture. Comparing the past 40 years aortic injuries shift from unprotected car occupants to today's unprotected vulnerable road users like pedestrians, cyclists and motorcyclists. Still the accident characteristics are linked with chest compression force under high speed impact, no seatbelt and direct body impact.
The purpose of this study was to analyse the actual injury situation of bicyclists regarding accidents involving more than one bicyclist. Bicyclists were included in a medical and technical analysis to create a basis for preventive measures and discovered repeating accident patterns and circumstances such as daytime, environment, helmet use rate. Technical and medical data were collected at the scene, shortly after accident. The population was compared focusing on bicycle versus bicycle accidents. Technical analysis included speed at crash, type of collision, impact angle, environment, used lane and relative velocity. Medical analysis included injury pattern and severity (AIS, ISS). Included were 578 injured bicyclists in 289 accidents from years 1999 to 2008, 61 percent were male (n=350) and 39 percent female (n=228). Sixty-seven percent ranged between 18 to 64 years of age, twelve percent each between 13 to 17 years of age and older than 65 years, eight percent between 6 to 12 years and one percent between 2 to 5 years.. Crashes took place in urban areas in 92 percent, in rural areas in 8 percent. Weather conditions were dry lanes in 97 percent and wet conditions in 3 percent. Eighty-three percent of all accidents happened during daytime, ten percent during night, and seven percent during dawn. The helmet use rate was only 7,5 percent in all involved bicyclists. The mean Maximum Abbreviated injury scale, Injury severity score was 1,31. Bicyclists are still minimally- or unprotected road users. The helmet use rate is unsatisfactorily low. The incidence of bicycle to bicycle crashes is high. Most of these accidents take place in urban areas. The level and pattern of injuries is moderate. Most of the more severe injuries occur to the head and could have been avoided by frequent helmet use.
In Germany averagely two million traffic accidents happen each year and emergency medical services are called to more than 400 000 patients. Even though this number is decreasing continuously (due to improvements in the fields of vehicle safety, road construction, and accident prevention) every case is yet a challenge for the rescuers and requires improvements in emergency medicine as well. Especially during diagnostics right at the accident scene, there are only limited instruments available to gain the necessary knowledge of the injuries suffered, to come to essential decisions about treatment or transport. To provide an additional diagnostic aid by scouting and estimating the situation, a software-tool calculating the likeliness of the most frequent severe injuries (AIS 3-6) of front occupants in passenger cars has been developed to deliver this necessary information about particular accident scenarios. To achieve this, logistic likelihood functions have been calculated in a multivariate regression analysis analysing all AIS 3+ injuries in the GIDAS database of the years 1999-2006 that happened more than four times
The average CO2 concentrations relevant to a motorcyclist wearing an integral helmet were measured twenty years ago and found to be alarmingly high. The present study examined gas concentrations typically inhaled by a motorcyclist. Average concentrations of CO2 for persons (n=4) wearing integral motorcycle helmets were measured in the laboratory and the field to facilitate comparison to previous work, and similarly high average concentrations were found: above 2% when stationary, well below 1% for speeds of 50km/h or more. Detailed measurements of the time-dependent CO2 concentrations during normal inhalation showed levels of about half of the corresponding average concentrations, including 1% at standstill, though higher concentrations (4% or more) are inhaled at the beginning of each breath. Opening the visor at standstill lowered the average inhaled concentration only to about 0.8%. The oxygen deficiency is equal to the CO2 concentration, and could also contribute negatively to motorcyclist cognitive abilities.