Non-stationary random torsional vibration fatigue life prediction method
A technology for fatigue life prediction and torsional vibration, which is applied in computer-aided design, special data processing applications, instruments, etc., to achieve the effect of easy implementation and simple principle
Pending Publication Date: 2019-09-24
NANCHANG UNIV
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However, there are few studies on the prediction of non-stationary random vibration fatigue life.
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[0026] See Figure 1-3 .
[0027] The invention discloses a non-stationary random torsional vibration fatigue life prediction method, which includes the following steps:
[0028] Step 1: Establish a shaft torsional vibration model, use Monte Carlo simulation method to generate all disturbance moment sample functions within time T, and calculate the corresponding damage D for each disturbance moment sample function x(t), and take the average value or Given the reliability level (such as 95%) to obtain the damage corresponding to time T, set the damage value to D T , Change time T;
[0029] In the embodiment of the present invention, the application object is the torsional vibration fatigue life prediction of a certain shaft, and we take this as an example. Suppose that the torsional vibration interference torque satisfies T=0.684+0.04·[200+A(n)]·(cos12.56t+0.7cos25.13t)MN·m, and the amplitude A(n) represents the value in the nth thousand hours, which obeys Wiener Process, it can be...
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The invention relates to a non-stationary random torsional vibration fatigue life prediction method. The non-stationary random torsional vibration fatigue life prediction method comprises the following steps: 1, establishing an axis torsional vibration model, generating all disturbance torque sample functions within time T by utilizing a Monte Carlo simulation method, calculating a damage D corresponding to each disturbance torque sample function x (t), obtaining a damage corresponding to the time T by using an average value or a given reliability level, and setting the damage value as DT and the change time T; and 2, obtaining a plurality of DTs, drawing a T-DT curve, and accumulating damage theories by a Miner to cause fatigue damage when the damage reaches 1, namely engineering cracks occur, and when the DT is equal to 1, the T corresponding to the engineering cracks is the vibration fatigue life of the shaft. According to the non-stationary random torsional vibration fatigue life prediction method, the defects of an existing method are overcome, and the problem of non-stationary random vibration fatigue life calculation is solved by utilizing a Monte Carlo simulation method based on a fatigue reliability theory and a frequency domain analysis method, and the non-stationary random torsional vibration fatigue life prediction method is simple in principle and easy to implement and has a certain engineering application value.
Description
Technical field [0001] The present invention is a life calculation method, in particular to a non-stationary random torsional vibration fatigue life prediction method, and belongs to the technical field of random torsional vibration fatigue. Background technique [0002] Random vibration generally refers to the vibration of a mechanical or structural system excited by a random vibration source. How to effectively predict the fatigue life of structures under random vibration environments has always been a difficult problem in the industry. Using time domain method to calculate random vibration fatigue requires a very long time history record, consumes a lot of computer resources, and it is difficult to accurately describe. In order to overcome the shortcomings of time domain methods, some researchers have proposed frequency domain fatigue analysis methods. The simpler one is the three-interval method based on Gaussian distribution and Miner's linear cumulative damage law propose...
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IPC IPC(8): G06F17/50
CPCG06F2119/04G06F30/17
Inventor 易义武杨智
Owner NANCHANG UNIV