ANALYSIS OF RISKS IN THE FIELD OF TRAIN SAFETY ON THE RAILWAYS OF UZBEKISTAN

The sand drift of the railway track and the blowing of the roadbed negatively affect the elements of the track infrastructure to such an extent that they reach the limit states at which it becomes impossible for them to continue functioning. This leads to a violation of train safety. To assess the negative impact of sand and determine the necessary protective measures, a method of visual monitoring of the state of the track is proposed.

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Simulation of Longitudinal Train Dynamics: Case Studies Using the Train Energy and Dynamics Simulator (TEDS)

2015 Joint Rail Conference ◽

10.1115/jrc2015-5760 ◽

2015 ◽

Cited By ~ 2

Author(s):

Monique F. Stewart ◽

S. K. (John) Punwani ◽

David R. Andersen ◽

Graydon F. Booth ◽

Som P. Singh ◽

...

Keyword(s):

Energy Efficiency ◽

Case Studies ◽

State Of The Art ◽

Longitudinal Dynamics ◽

Simulation Tools ◽

Power Operations ◽

Real World Applications ◽

Train Dynamics ◽

And Performance ◽

Train Safety

Longitudinal dynamics influence several measures of train performance, including schedules and energy efficiency, stopping distances, run-in/run-out forces, etc. Therefore, an effective set of tools for studying longitudinal dynamics is essential to improving the safety and performance of train operations. Train Energy and Dynamics Simulator (TEDS) is a state-of-the-art software program designed and developed by the Federal Railroad Administration (FRA), for studying and simulating train safety and performance, and can be used for modeling train performance under a wide variety of equipment, track, and operating configurations [1]. Several case studies and real-world applications of TEDS, including the investigation of multiple train make-up and train handling related derailments, a study of train stopping distances, evaluations of the safety benefits of Electronically Controlled Pneumatic (ECP) brakes, Distributed Power operations, and a study of alternate train handling methodologies are described in this paper. These studies demonstrate the effectiveness of using the appropriate simulation tools to quantify and enhance a better understanding of train dynamics, and the resultant safety benefits.

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System architecture of a train sensor network for automatic train safety monitoring

Computers & Industrial Engineering ◽

10.1016/j.cie.2018.04.038 ◽

2019 ◽

Vol 127 ◽

pp. 1183-1192 ◽

Cited By ~ 1

Author(s):

Guoqiang Cai ◽

Jiaqing Zhao ◽

Qiong Song ◽

Mengchu Zhou

Keyword(s):

Sensor Network ◽

System Architecture ◽

Safety Monitoring ◽

Train Safety

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Research on an Intelligent Diagnostic Equipment Suitable for Rail Traffic Braking System

Volume 9: 15th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications ◽

10.1115/detc2019-97600 ◽

2019 ◽

Author(s):

Changzheng Fang ◽

Jing Yang ◽

Quan Liu ◽

Furen Feng ◽

Jianyong Zuo

Keyword(s):

Health Status ◽

Wireless Transmission ◽

Smart Device ◽

Rail Transit ◽

Analysis Method ◽

Braking System ◽

Cloud Server ◽

Train Operation ◽

Subway Train ◽

Train Safety

Abstract In order to meet the increasing requirements of train safety in the rail transit industry, it is important for the operators to monitor the running status and health status of the train in real time. Based on train on-broad data, using big data analysis method for data mining to study the health status of trains and change rules, it will be helpful to realize the informationization and intelligence of train operation. This paper designs and introduces a smart device for the brake system of rail transit trains. It reads the required data through the train CAN Bus network, and uses the wireless transmission device DTU to remotely send the analysis result to the cloud server. The user can easily browse the train’s device status and system health analyzed by the server through the webpage anytime and anywhere, which is helpful for the health operations and management of trains. The equipment passed the relevant tests of the Changsha subway train in China, which can meet the needs of functional design.

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A Better Way to Train Personnel to Be Safe in Emergencies

ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg ◽

10.1115/1.4040660 ◽

2018 ◽

Vol 5 (1) ◽

Cited By ~ 7

Author(s):

Jennifer Smith ◽

Brian Veitch

Keyword(s):

Emergency Evacuation ◽

Individual Variability ◽

Training Methods ◽

Emergency Evacuations ◽

Present Complex ◽

Simulation Based ◽

And Performance ◽

Emergency Scenarios ◽

Train Safety ◽

Petroleum Platforms

Offshore petroleum platforms present complex, time-sensitive situations that can make emergency evacuations difficult to manage. Virtual environments (VE) can train safety-critical tasks and help prepare personnel to respond to real-world offshore emergencies. Before industries can adopt VE training, its utility must be established to ensure the technology provides effective training. This paper presents the results of two experiments that investigated the training utility of VE training. The experiments focused particularly on determining the most appropriate method to deliver offshore emergency egress training using a virtual environment. The first experiment used lecture-based teaching (LBT). The second experiment investigated the utility of a simulation-based mastery learning (SBML) pedagogical method from the medical field to address offshore emergency egress training. Both training programs (LBT and SBML) were used to train naïve participants in basic onboard familiarization and emergency evacuation procedures. This paper discusses the training efficacy of the SBML method in this context and compares the results of the SBML experimental study to the results of the LBT training experiment. Efficacy of the training methods is measured by a combination of time spent training and performance achieved by each of the training groups. Results show that the SBML approach to VE training was more time effective and produced better performance in the emergency scenarios. SBML training can help address individual variability in competence. Limitations to the SBML training are discussed and recommendations to improve the delivery of SBML training are presented. Overall, the results indicate that employing SBML training in industry can improve human reliability during emergencies through increased competence and compliance.

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Influence of Typical Subgrade Structures on Aerodynamic Characteristics of High Speed Trains in Cross Wind Conditions

Volume 2: Development and Applications in Computational Fluid Dynamics; Industrial and Environmental Applications of Fluid Mechanics; Fluid Measurement and Instrumentation; Cavitation and Phase Change ◽

10.1115/fedsm2018-83300 ◽

2018 ◽

Author(s):

Zhenxu Sun ◽

Guowei Yang

Keyword(s):

High Speed ◽

Aerodynamic Characteristics ◽

Wind Condition ◽

Safety Control ◽

High Speed Trains ◽

Flow Field Characteristics ◽

Wind Velocities ◽

The Cross ◽

Train Safety

Due to geographical and environmental constraints, highspeed railways use a variety of subgrade structures such as ground, embankments with different height, viaducts, etc. When trains run on embankments and viaducts, the flow around the car body is more complex than the ground. Under the action of crosswind, there are obvious differences in the cross-wind aerodynamic characteristics of high-speed trains on different subgrade structures. The unreasonable subgrade structure will affect the cross-wind safety of the train. At the same time, the structure of the train is complex, the bogie and pantograph have an important role on the flow field characteristics of the train, and the over simplified profile of the short train cannot accurately reflect the true aerodynamic characteristics of the train. In the present paper, in order to study the influence of typical subgrade structure on the aerodynamic characteristics of high speed trains, a real high-speed train with 9 carriages at the speed of 200 km/h was taken for case study, and the details of windshields, bogies and pantographs were taken into consideration. The cross wind velocities were chosen as 20, 30, 35 and 40 m/s. The aerodynamics performance of the highspeed train under the four conditions of plane ground, 3m-embankment, 6m-embankment and viaduct were simulated and compared, and the differences and regularities in the aerodynamic characteristics under cross wind conditions on different subgrade were analyzed. The results provide a reference for train safety control on complex subgrade structures under cross wind condition.

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A Study on Fatigue State Evaluation of Rail by the Use of Ultrasonic Nonlinearity

Materials ◽

10.3390/ma12172698 ◽

2019 ◽

Vol 12 (17) ◽

pp. 2698

Author(s):

Bo Zhu ◽

Jaesun Lee

Keyword(s):

Longitudinal Wave ◽

Second Harmonic ◽

Early Stage ◽

Wave Mixing ◽

Third Harmonic ◽

Longitudinal Waves ◽

Testing Method ◽

State Evaluation ◽

Stress Fatigue ◽

Train Safety

Nonlinear ultrasonic testing has been accepted as a promising manner for evaluating material integrity in an early stage. Stress fatigue is the main threats to train safety, railways examinations for stress fatigue are more significant and necessary. A series of ultrasonic nonlinear wave experiments are conducted for rail specimens extracted from railhead with different degree of fatigue produced by three-point bent loading condition. The nonlinear parameter is the indicator of nonlinear waves for expressing the degree the fatigue. The experimental results show that the sensitivity of a third harmonic longitudinal wave is higher than second harmonic longitudinal wave testing. As the same time, collinear wave mixing shows strong relative with fatigue damages than a second longitudinal wave nondestructive testing (NDT) method and provides more reliable results than third harmonic longitudinal waves nonlinear testing method.

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