Method and apparatus for assessing wheel strength of rail transit locomotive

Abstract

The invention discloses a method and an apparatus for assessing wheel strength of a rail transit locomotive. The method comprises the steps of inputting preset calculation parameters in a preset to-be-assessed wheel model to realize automatic loading of a vehicle load and automatic creation of various working conditions, and acquiring coordinates, stress tensors and main stresses of a key point on a to-be-assessed wheel in various working conditions; performing calculation according to the coordinates, the stress tensors and the main stresses of the key point on the to-be-assessed wheel in various working conditions to obtain an average stress, a stress amplitude, a stress range and an equivalent stress of the key point; judging whether the average stress, the stress amplitude, the stress range and the equivalent stress are in a preset range or not; and assessing that the strength of the to-be-assessed wheel is in a safety working condition under the condition that the average stress, the stress amplitude, the stress range and the equivalent stress are in the preset range. Through the method and the apparatus, the problem of non-unified analytic results caused by individual difference of simulation personnel in the prior art is solved.

Description

technical field [0001] The invention relates to the field of rail transit locomotives, in particular to a method and device for evaluating wheel strength of rail transit locomotives. Background technique [0002] In the existing wheel strength evaluation of rail transit locomotives, the main process is that professional simulators manually divide the CAD model provided by the designer into a grid, and then manually load and establish a large number of calculation conditions to analyze the complex calculation results. It takes a lot of time to process, that is, a lot of manpower is wasted, and it is also prone to errors. Especially for the wheel structure and stress state, the calculated stress results need to be specially processed, which has great technical difficulties and cannot be overcome by manpower. The processing of big data in the processing process is also a technical problem faced in the current wheel strength evaluation process, which is particularly error-prone...

AI Technical Summary

Problems solved by technology

Among them, the method can automatically process the data under each working condition, which not only overcomes the problem of inconsistency in the analysis results caused by the individual differences of the simulators in the prior art, but also reduces the occurrence of human intervention

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