Material strength distribution obtaining method

A technology of intensity distribution and acquisition method, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of high time cost and economic cost, a large number of experiments, infeasibility, etc., to save test time and funds. , the effect of avoiding errors

Active Publication Date: 2018-09-04
SOUTHEAST UNIV
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Problems solved by technology

The disadvantage of this method is that a large number of experiments need to be completed, and

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  • Material strength distribution obtaining method
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Embodiment Construction

[0022] The technical solutions of the present invention will be described in detail below, but the protection scope of the present invention is not limited to the embodiments.

[0023] A method for obtaining material strength distribution, such as figure 1 shown, including the following steps:

[0024] Step 1: In this embodiment, 20 tests of the shear strength of C / C composite pins have been completed, and its shear strength sample Respectively (in MPa): 60.60, 51.33, 58.97, 58.19, 52.68, 49.70, 58.53, 59.12, 56.08, 57.53, 57.68, 53.24, 55.10, 55.80, 61.05, 47.86, 53.23, 52.63, 53.12, 53.0 Calculate the mean of the intensity Standard deviation σ=3.66MPa, by introducing random variable η, the intensity distribution can be expressed as:

[0025] Step 2: Based on 20 material strength samples Determine a sample of random variables of strength: They are: 1.456, -1.076, 1.009, 0.798, -0.708, -1.523, 0.891, 1.051, 0.221, 0.617, 0.659, -0.556, -0.048, 0.145, 1.578, -2.025, ...

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Abstract

The invention provides a material strength distribution obtaining method. The method comprises the steps of obtaining multiple material strength samples defined in the specification through a materialstrength test, and determining test data-based strength random variable samples defined in the specification; expanding a strength random variable eta by adopting a chaotic polynomial, and accordingto Gaussian sampling, performing calculation to obtain all-order chaotic polynomial basis function samples defined in the specification; by adopting a Markov chain-Monte Carlo algorithm, obtaining posteriori distribution samples, defined in the specification, of all-order chaotic polynomial coefficients gamma; according to the reconstructed chaotic polynomial coefficient samples defined in the specification and the chaotic polynomial basis function samples defined in the specification, determining posteriori distribution samples, defined in the specification, of the strength random variable; and according to the posteriori distribution samples, defined in the specification, of the strength random variable, calculating posteriori distribution samples, defined in the specification, of strength, and finally obtaining material strength distribution by adopting an interval statistics method. According to the method, the material strength distribution can be obtained by only finishing few strength tests, without assuming a material strength distribution type, so that a large amount of test time and expenditures are saved, and meanwhile, an error caused by wrong selection of a material strength distribution model is avoided.

Description

technical field [0001] The invention relates to a material reliability calculation method, in particular to a material strength distribution acquisition method. Background technique [0002] Due to the differences in the manufacturing process and the randomness of the internal defects of the material, the strength of the material has a certain degree of dispersion. In order to ensure the reliability of the structure, two methods are often used in engineering: (1) Improve the structural reliability through structural redundancy design. Reliability; (2) Improve the reliability of the structure through structural reliability design. The method of redundant design will lead to a large waste of materials and increase the weight of the structure. For some structures, increasing the weight will greatly reduce the performance of the product. Therefore, the concept of reliability-based design has gradually been favored by structural engineering designers. The acquisition of materia...

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/17G06F30/20
Inventor 费庆国郭飞李彦斌张培伟范刚于静巍
Owner SOUTHEAST UNIV
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