Security judging method of rail irregularity state

Abstract

The invention discloses a security judging method of a rail irregularity state in the technical field of railway security operation control. The security judging method comprises the following steps of: establishing a vehicle rail model in multi-body dynamic simulation software; determining a rail irregularity parameter; inputting the rail irregularity parameter into the vehicle rail model and generating an executable code in the multi-body dynamic simulation software; inputting actually-measured rail irregularity data into the executable code, and operating the executable code to obtain wheel-rail acting force; calculating a security evaluation index of the rail irregularity state according to the wheel-rail force; processing the calculated security evaluation index of the rail irregularity state; and comparing the processed security evaluation index of the rail irregularity state with a pre-set security standard so as to obtain a security judging result of the rail irregularity state. Compared with the conventional security judging method of the rail irregularity state, the security judging method provided by the invention is more accurate in judging result.

Description

technical field [0001] The invention belongs to the technical field of railway safety operation control, and in particular relates to a safety evaluation method for track irregularities. Background technique [0002] During the design and construction of railway subgrades, bridges, and ballast beds, problems such as post-construction settlement and deformation will inevitably occur. During the operation of the railway, under the repeated action of the train load, the track will also produce geometric displacement changes, and these problems will lead to track irregularities. When the track irregularity exceeds a certain range, it will affect the safety of train operation. Therefore, in order to ensure the safety of railway traffic, railway departments regularly use track inspection vehicles to measure track irregularities, including height, level, gauge, and direction, etc., and then judge track irregularities according to the promulgated railway line maintenance rules, and...

AI Technical Summary

Problems solved by technology

In engineering practice, this method has been proved to have a major flaw, that is, this method cannot identify certain track irregularities that may lead to unsafe behavior of the vehicle, when all track irregularities do not exceed predetermined standard thresholds , the vehicle may still generate large wheel-rail force or severe vibration, threatening driving safety

The reason for this phenomenon is that the correlation between the amplitude of track irregularities and the dynamic response of the vehicle is poor, and the amplitude method does not consider the dynamic response of the wheel-rail force

[0004] A few railway departments at home and abroad use force-measuring wheelsets to obtain wheel-rail forces, and use wheel-rail forces to judge the safety of track irregularities. The force wheel set has defects such as high price, high failure rate, difficult maintenance, and short service life. Therefore, this method has not been widely promoted in practice. In China, only one track inspection vehicle of the Shanghai Railway Bureau is equipped with a force measuring Wheelset put to real measurement

[0005] Dr. Li and others from TTCI Company of the United States realized the correlation modeling between track irregularity and wheel-rail force by using neural network technology, thus proposed a track detection and evaluation method called PBTG; but this kind of method requires a lot of On-site measurement data is used to train the neural network, and the completeness of the modeling data is difficult to satisfy, and the modeling accuracy of the forward static neural network adopted is low, so it is difficult to guarantee the reliability of the safety evaluation

Dr. Bonaventura of Sweden and others used the mechanism modeling method to construct the mechanical physical model of the vehicle / track, and then calculate the vehicle dynamic response to judge the safety of the vehicle; however, this type of method ignored the complex vehicle / track system when constructing the mechanism model Non-linear factors, there are shortcomings such as low precision, it is difficult to guarantee the reliability of safety evaluation

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