New multi-channel equilibrium correlation method of considering load distribution and damage consistency

Abstract

The invention discloses a new multi-channel equilibrium correlation method of considering load distribution and damage consistency. The method comprises the following steps: (1) adopting rain-flow counting and zero-mean conversion methods to convert a load time process of each channel of a test field and a user into a sub-interval load spectrum; 2) converting the sub-interval load spectrum of eachchannel into fatigue damage according to a fatigue life prediction theory, and building a multi-channel sub-interval equivalent-damage correlation model; and 3) adopting a normalization method to normalize the damage of each channel sub-interval of the test field and the damage of the user corresponding channel. According to the method, load distribution consistency and damage consistency principles are comprehensively considered, consistent distribution of test field and user loads can be guaranteed, the consistent fatigue damage between a test field test and a user test can also be guaranteed, at the same time, adopting the normalization method solves the problem of poor matching equilibrium due to differences of signal types and orders of magnitude of all the channel, and a method of assigning different weights to all the channels is adopted to realize priority matching of the important channel.

Description

technical field [0001] The invention relates to vehicle reliability strengthening test technology, in particular to a new method for associating a proving ground with user reliability tests while considering load distribution consistency, damage consistency and multi-channel balance. Background technique [0002] Reliability is the basic guarantee for the safe operation of vehicles and a necessary condition for ensuring transportation efficiency. During the operation of the vehicle, the sudden fatigue failure of key components will cause road traffic accidents involving vehicle crashes and fatalities. The automobile proving ground is responsible for testing and evaluating the reliability of automobile products. To a certain extent, the correlation between proving ground tests and users determines the scientificity of proving ground reliability testing and evaluation. The research on the correlation between proving ground tests and users has received extensive attention at h...

AI Technical Summary

Problems solved by technology

[0009] 1) Equal load matching takes the consistent load distribution as the matching goal, divides the load amplitude of the user load spectrum and the test field load spectrum into multiple intervals, and makes the corresponding times of each interval consistent through matching (that is, the load distribution consistency) ;Equal load matching can ensure that the failure mode is consistent with the user to a certain extent, but because generally the number of cycles of large-scale values ​​is small but will cause greater damage, and the number of cycles of small-amplitude values ​​is large but the damage is small, it is difficult to ensure damage during matching Consistency with users

[0010] 2) Equivalent damage matching is based on the load spectrum of each channel of the user and the test field, using the fatigue prediction theory to calculate the damage of each channel of the user and the test field respectively, and make the corresponding damage of each channel consistent through matching; the principle of equal damage only Pay attention to whether the cumulative total damage of the user and the proving ground test vehicle and parts is equal, but the user's load and the composition of the proving ground test load (load amplitude and mean value and frequency distribution) are not related

[0011] 3) When multiple channels are matched, both the equal damage and equal input matching methods do not take into account the unbalanced matching problem caused by the different signal types and magnitude differences of each channel (some channels have a good match between the test site and the user, and some channels Poorly matched proving grounds and users)

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