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Low-cycle fatigue data analysis method based on matlab programming

A low-cycle fatigue and data analysis technology, used in electrical digital data processing, special data processing applications, instruments, etc., can solve the problem that the fitting curve value cannot be directly exported, the image cannot be edited twice, and the processing process variable value is not intuitive. and other problems, to achieve the effect of intuitive data processing results, convenient program debugging, and improved data processing efficiency

Inactive Publication Date: 2017-11-24
HARBIN TURBINE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to solve the need to manually input the experimental value when using the existing method, which is prone to input errors, affects the test analysis results, and the data processing efficiency is low; and the obtained image cannot be edited twice, and the variable value in the processing process is not intuitive , the value of the fitting curve cannot be directly derived, and a low cycle fatigue data analysis method based on matlab programming is proposed

Method used

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  • Low-cycle fatigue data analysis method based on matlab programming
  • Low-cycle fatigue data analysis method based on matlab programming
  • Low-cycle fatigue data analysis method based on matlab programming

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Experimental program
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specific Embodiment approach 1

[0028] Specific implementation mode one: combine figure 1 Describe this embodiment, the specific process of a kind of low cycle fatigue data analysis method based on matlab programming of this embodiment is:

[0029] Step 1. Obtain the predicted material test record file according to the MTS testing machine during the low cycle fatigue test, and record the strain, fatigue life, maximum stress, minimum stress, and elastic modulus data information in the obtained predicted material test record file in this When the program is executed, it is directly copied to the matlab program running window to generate the total data matrix Data;

[0030] The total strain is the first column Et of the total data matrix Data; the fatigue life is the second column Nf of the total data matrix Data; the maximum stress is the third column max_stress of the total data matrix Data; the minimum stress is the fourth column of the total data matrix Data Column min_stress; the elastic modulus is the fi...

specific Embodiment approach 2

[0045] Specific embodiment two: the difference between this embodiment and specific embodiment one is: the column matrix Ee1 in the step 2 is the column matrix after seeking the logarithm with base 10 for each element in the elastic strain column matrix Ee; column matrix Ep1 is the column matrix after calculating the logarithm to the base 10 for each element in the plastic strain column matrix Ep; column matrix Nf1 is the column after calculating the logarithm to the base 10 for each element in the 2 times fatigue life column matrix Nf2 matrix; the column matrix stress1 is the column matrix obtained by calculating the logarithm to the base 10 for each element in the stress mean column matrix stress.

[0046] Other steps and parameters are the same as those in Embodiment 1.

specific Embodiment approach 3

[0047] Specific embodiment three: the difference between this embodiment and specific embodiment one or two is: in the step seven, draw three curves on the fatigue life-strain image; the specific process is:

[0048] According to the maximum value and minimum value of the double fatigue life column matrix Nf2, respectively determine the abscissa value of each point on the three curves in the image, in which fatigue life-elastic strain curve, fatigue life-plastic strain curve, fatigue life-total strain curve The ordinate values ​​of each point above are Dfe*(Nf2) b , Ef*(Nf2) c , Dfe*(Nf2) b +Ef*(Nf2) c ;Call the plot function to draw, and set the color, linearity, and line width of the curve;

[0049] Dfe is the fatigue strength coefficient, Ef is the fatigue ductility coefficient, Nf2 is the double fatigue life column matrix, b is the fatigue strength index, c is the fatigue ductility index, and * is the multiplication sign.

[0050] Other steps and parameters are the sam...

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Abstract

The invention relates to a low-cycle fatigue data analysis method based on matlab programming. The method aims to solve the problems that an experiment value needs to be manually input and input errors are likely to generate so as to influence an experiment analysis result and generate low data processing efficiency when an existing method is used and also solve the problems that an obtained image can not be subjected to secondary editing, the variable value of a processing process is not visual and a fitting curve numerical value can not be directly exported. The process of the method comprises the following steps that: generating total data matrix Data; calculating the upper limit and lower limit numerical values of Dfe, Ef and K corresponding to 95% of confidence interval; storing a result into result, and writing into a format file of which the filename is result; setting a font and a word size in the image; drawing three curves and scattered points on a fatigue life-strain image; and calling a plot function to draw a plastic strain-stable cyclic stress curve graph. The method is used for the field of low-cycle fatigue data analysis.

Description

technical field [0001] The invention relates to a low cycle fatigue data analysis method based on matlab programming. Background technique [0002] Under alternating loads, fatigue failure occurs at stress levels well below the yield strength of the material. The failure mode of more than 80% of mechanical parts is fatigue damage. Therefore, fatigue tests must be carried out for materials that need to withstand alternating loads, such as rotor steel, blades, spring supports, etc. Both material low cycle fatigue performance evaluation and component life prediction depend on the low cycle fatigue test of materials or components, so the amount of material low cycle fatigue tests is very large, and the amount of test data that needs to be input during the analysis and processing of test results is very large. [0003] Traditional low-cycle fatigue data analysis methods generally use basic language, C language, etc., and need to manually input experimental values, while micro-s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 代海燕田宇李海霞李兴东赵龙飞刘新新
Owner HARBIN TURBINE
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