Analysis of Thin Wall Structures for Energy Absorption Applications by ABAQUS

Crash-dynamics research has always concentrated significantly in the safety, survivability of passengers in a car crash. To identify the capability of energy absorption of a crash box, a thin-walled structure will be modeled and simulated by ABAQUS software. Investigate the influence of material, cross-sectional, thickness factors on the energy absorption capacity of the tube, using MCDM – Multi-Criteria Decision-Making to get the best option and testing the improvement while filling the tube with Foam material. In this study, beside the cross-sectional, aluminum alloys and steel materials and thickness are factors that influence the energy absorption evaluation criteria, the foam material with difference density are surveyed to compare effectiveness between the foam-filled and hollow crashboxes. The results show that the folds of the foam-filled tube after deformation along the compressive direction will be more continuous and stable. More, the higher foam density, the greater the energy absorption. This prevents the crashbox from deviating from the direction of the force, help directing the collapse of the tube, thereby improving energy absorption without significantly increasing the weight of the structure.

Development of impact attenuator analysis tools in crash scenario using Euler method and finite element analysis

The problem considered in this work is the development of simulation method for simulating car crash which utilizes simple car—impact attenuator model developed in MATLAB. Usually, car crash simulation is done using full finite element simulation which could take hours or days depending on the model size. The purpose of proposed method is to achieve quick results on the car crash simulation. Past works which utilizes simple car—impact attenuator model to simulate car crash use continuous time model and the impact attenuator parameter is obtained from the experimental results. Different from the related works, this work uses discrete time model, and the impact attenuator parameter is obtained from finite element simulation. Therefore, the proposed simulation method is not only achieving quick simulation results but also minimizing the cost and time in obtaining the impact attenuator parameter. The proposed method is suitable for parametric study of impact attenuator.

Research paper on improvement of road infrastructure to implement road safety at an intersection of military hospital road.

Geometrical plan lacks on existing streets would prompt an expected mishap, for example, a mishap occurs at the sharp bends, layered asphalt conditions, and dangerous asphalt surface. Street auto collision has been expanding in the Southern Region of Tigray, of which this region was appeared to have disturbing rates. As indicated by the Southern Tigray Regional Police, the more rate of street car crashes were recorded in Garhi, Brimah pull and jekhani regions. This examination study zeroed in on the investigation of auto collisions identified with mathematical plan boundaries of the current black top street. While the information for the investigation covered course information, auto collision report from the police headquarters containing a few wounds, crashes, and destroyed the properties, just as meetings and poll studies to individuals who are straightforwardly engaged with street voyages, are thought of. The essential information has basically covered the math of the street which was estimated during the site study, street security review utilizing the agenda, meeting, and poll study. Then again, the auxiliary information gathered from the traffic the executive’s office in the area workplaces. On this, the outcomes introduced as line diagrams, pie outlines, figures for street car crash and sketch for the proposed improvement in the street plan issue. In view of the aftereffects of the investigation in the year 2015 to year 2019, it discovered that there were 1866 Road Traffic Accidents have been happening nearby the overview street areas. It uncovered that the essential driver of street car crashes in the investigation region exuded from the street plan components because of some mathematical lacks at the auto collision inclined regions uncovered that the essential driver of street car crashes in the examination region radiated from the street plan components because of some mathematical insufficiencies at the car crash inclined regions. Hence, this investigation reasoned that the recurrence of event of street auto collisions and the figure of setbacks is altogetherexpanding. This street mishap would endure if the concerned offices don’t satisfactorily address the disease.

Towards Secure, Decentralised, and Privacy Friendly Forensic Analysis of Vehicular Data

The automotive industry has been transformed through technological progress during the past decade. Vehicles are equipped with multiple computing devices that offer safety, driving assistance, or multimedia services. Despite these advancements, when an incident occurs, such as a car crash, the involved parties often do not take advantage of the technological capabilities of modern vehicles and attempt to assign liability for the incident to a specific vehicle based upon witness statements. In this paper, we propose a secure, decentralized, blockchain-based platform that can be employed to store encrypted position and velocity values for vehicles in a smart city environment. Such data can be decrypted when the need arises, either through the vehicle driver’s consent or through the consensus of different authorities. The proposed platform also offers an automated way to resolve disputes between involved parties. A simulation has been conducted upon a mobility traffic dataset for a typical day in the city of Cologne to assess the applicability of the proposed methodology to real-world scenarios and the infrastructure requirements that such an application would have.

A high-fidelity human cervical muscle finite element model for motion and injury studies

Active muscle response is a key factor in the motion and injury of the human head and neck. Due to the limitations of experimentation and the shortcomings of previous finite element models, the influence of material parameters of cervical muscle on motions of the head and neck during a car crash have not been comprehensively investigated. In the present work, a model of the cervical muscle in a 50th-percentile adult male was constructed. The muscles were modelled using solid finite elements, with a nonlinear-elastic and viscoelastic material and a Hill material modelling the passive and active parts of each muscle, respectively. The head dynamic responses of the model were validated using results obtained from volunteer sled tests. The influence of the material parameters of a muscle on head and neck motions were determined. Our key finding was that the greater the stiffness and the contraction strength of the neck muscles, the smaller the rotation angle of the head and the neck, and, hence, the lower the risk of head and neck injury to occupants in a car crash.

Car Crash Speed Estimates Not Biased by Leading Questions

Individuals’ recollections of events have been shown to be susceptible to external factors, especially when it comes to speed estimations. This study explored the impact of perceptually disfluent presentations and presentation modalities of car crashes on observers’ estimations of speed, in addition to the testing the currently accepted effect of leading questions on the same. Participants viewed videos or images of car crashes, presented in higher or lower visual quality, and reported how fast the vehicles were traveling when they “made contact” or “smashed into” each other. Results showed that neither question phrasing, visual quality, nor presentation modality of car crashes affected speed estimates. Individuals who believe cars to travel at higher speeds, however, in general estimated higher speeds when viewing car crash images, especially when presented in lower visual quality. These findings suggest that a combination of external factors may influence event recall depending on individual’s pre-existing beliefs about car speeds, and should be considered prior to obtaining eyewitness accounts.

Traumatic Pseudoaneurysm Arising From Proximal Facial Artery: A Case Report and Literature Review

Pseudoaneurysms of facial artery usually arise from the distal part of the vessel. Only 4 cases were described in the literature involving the proximal part of facial artery. We present a case of a traumatic pseudoaneurysm involving the proximal part of facial artery. A 50-year-old man was referred to our department for a progressively growing submandibular mass. He was injured by a sharp object during a car crash 30 days ago. After 3 weeks, the patient noted the appearance of a subcutaneous mass in the left submandibular area. Physical examination revealed a freely movable, painful, and pulsatile swelling. Ultrasound and computerized tomography scan showed a nodular lesion in the left submandibular area in continuity with the facial artery. The diagnosis of pseudoaneurysm of facial artery was suspected. The patient was treated by surgery. The pseudoaneurysm was resected with ligation of the proximal and distal ends of the facial artery.

Car Black Box System for Accident Analysis Using IoT

The car black box is used to analyse the cause of accidents like an airplane black box. This paper proposes a model of a car black box system which can be installed in the cars. The aim of this paper is to achieve accident analysis by tracking the working process of vehicles. In addition to this, the car black box system sends an alert message to the user mobile which is connected through Bluetooth module. The black box system also uses GPS sensor to collect the data location. The car black box system mainly helps the insurance companies to do car crash investigations and to record the road status to prevent or decrease death rates. This paper proposes a technique to monitor the vehicle performance and the behaviour of the driver using sensors with the use of IoT technology.

Optimal design for the connector of bridge prefabricated concrete barriers

The current optimization research on the connectors of prefabricated barriers uses experimental comparisons only and lacks theoretically based optimization methods as guidance. The primary objective of this study was to propose an efficient optimization approach to the connector design of prefabricated bridge barriers. This paper presents an efficient two-stage optimization approach to the connector design of prefabricated bridge barriers. In the first stage, the hybrid cellular automaton algorithm is used to perform dynamic topology optimization on the connector, and the best material distribution in the design domain is obtained. In the second stage, a kriging metamodel and genetic algorithm are combined to further optimize the size of the connector structure. With a prefabricated bridge as the engineering background, finite element models of a barrier system under impact load caused by a car crash were established. The above approach is utilized to optimize the design of the barrier connector. Results showed that the optimized connector structure greatly improved the overall performance of the barrier system while reducing the material consumption and costs. The proposed optimization approach can determine the optimal material distribution and size of the connector structure, thus providing guiding significance for the design and construction of connectors of prefabricated components.