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A Method for Predicting the Effect of Specimen Size on Fatigue Life

A fatigue life and size technology, applied in the field of predicting the influence of sample size on fatigue life, can solve the problems of time-consuming and laborious fatigue experiments, and achieve the effect of overcoming high time costs.

Active Publication Date: 2018-02-16
INST OF MECHANICS - CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Fatigue experiments are time-consuming and labor-intensive, especially for long-life fatigue experiments on large-scale samples

Method used

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  • A Method for Predicting the Effect of Specimen Size on Fatigue Life
  • A Method for Predicting the Effect of Specimen Size on Fatigue Life
  • A Method for Predicting the Effect of Specimen Size on Fatigue Life

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Embodiment

[0019] The invention provides a method for predicting the influence of sample size on fatigue life, and a group of experimental data of small samples and large samples in the existing literature is selected to show the generality and effectiveness of the method of the invention. It mainly includes the following steps:

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Abstract

The invention discloses a method for predicting an influence of the sample size on fatigue life. The method comprises the steps that by means of a function relationship between the fatigue life and stress, the fatigue life under different stress levels are converted into the fatigue life under the same stress level; statistical analysis is conducted on the fatigue life under the same stress level, and the most obedient probability distribution from is determined; the control volume of a small sample and the control volume of a big sample are calculated, and the control volume ratio of the big sample to the small sample is determined; the fatigue life N<L> of the big sample is obtained through n times of Monte Carlo simulation of the fatigue life N of the small sample under the same stress, that is, N<L>=min{N1, N2,..., Nn}; multiple fatigue life data of the big sample under the same stress are obtained; the fatigue life data of the big sample under different stress is obtained; statistical analysis is conducted on the obtained big sample fatigue life data, and a P-S-N curve is obtained. The defect that for big sample fatigue tests, the time and energy are wasted is effectively overcome.

Description

technical field [0001] The invention relates to the field of theoretical methods for fatigue life prediction, in particular to a method for predicting the influence of sample size on fatigue life. Background technique [0002] Fatigue failure analysis and life prediction are one of the key mechanical problems of engineering structural integrity. Numerous facts have shown that large-sized specimens tend to have lower fatigue life than smaller specimens under the same loading conditions. Fatigue experiments are time-consuming and laborious, especially for long-life fatigue experiments on large-scale samples. Therefore, it has very important application value to develop the prediction of fatigue life and P-S-N (failure probability-stress-life) curve of large samples through the fatigue experiment data of small samples. Contents of the invention [0003] The invention provides a method for predicting the influence of sample size on fatigue life, which is used to overcome the...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N3/00
CPCG01N3/00G01N2203/0073
Inventor 洪友士孙成奇刘小龙
Owner INST OF MECHANICS - CHINESE ACAD OF SCI
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