Prediction method for failure probability of fragile material under high-temperature creep state

A brittle material, failure probability technology, applied in the direction of probability network, probabilistic CAD, special data processing application, etc., can solve the problems that are not suitable for evaluating the reliability of brittle materials, and achieve the real effect of prediction results

Active Publication Date: 2017-10-20
CHINA UNIV OF PETROLEUM (EAST CHINA)
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

[0008] Therefore, the Weibull failure probability calculation expression of the existing technology is not suitable for evaluating the re

Method used

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  • Prediction method for failure probability of fragile material under high-temperature creep state
  • Prediction method for failure probability of fragile material under high-temperature creep state
  • Prediction method for failure probability of fragile material under high-temperature creep state

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0062] Predict the failure probability of glass-ceramic GC-9 material under creep of 50000h at 600℃.

[0063] The failure probability prediction process of glass-ceramic GC-9 material creeping at 600°C for 50,000 hours is as follows: figure 1 The process shown is carried out.

Embodiment 2

[0065] Predict the failure probability of ceramic material YSZ under 650℃ creep for 50000h.

[0066] The failure probability prediction process of the ceramic material YSZ at 650°C for 50,000h creep is as follows: figure 1 The process shown is carried out.

[0067] Embodiment 1 and embodiment 2 are shown in table 1 in the parameter used in calculation process:

[0068] Table 1

[0069]

[0070] Weibull theory needs to consider the weakest chain assumption, that is, the structure is under constant uniaxial load, it is considered to be similar to a stretched N chain, each chain has a different failure strength, when the weakest chain fails, the entire structure fails . Therefore, the strength of a chain is relative to the weakest chain. The failure strength of each chain is different, depending on the internal defects of the sample, that is, "volume effect".

[0071] figure 2 It is a schematic diagram of the relationship between the sample volume size and the defect si...

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Abstract

The invention discloses a prediction method for failure probability of fragile material under a high-temperature creep state. Based on the prior art, uniaxial creep failure strain is assumed to Weibull distribution in combined with the natural attribute that internal defects of the fragile material are randomly distributed, a probability density distribution curve of the uniaxial creep failure strain is acquired by using uniaxial creep experiments, a probability density function of multiaxis creep failure strain is acquired via a conversion relation between a single axis and the multiaxis creep failure strain, and thus integration is performed to acquire a failure probability computing model; on such the base, a sub-program is compiled by using a Fortran language in combination with a creep-damage constitutive equation, and thus a prediction result of the failure probability of the fragile material under the high-temperature creep state is acquired. According to the method provided by the invention, the technical problem that in the prior art, reliability prediction of the fragile material under the high-temperature creep state cannot be performed is solved, and the acquired prediction result is real, accurate, reasonable and reliable.

Description

technical field [0001] The invention relates to the technical field of reliability engineering, in particular to a method for predicting failure probability of brittle materials in a high-temperature creep state. Background technique [0002] Today's failure assessment work at home and abroad mainly adopts the "suitable for use" principle of the deterministic fracture mechanics method. or unsafe assessment results. [0003] However, in actual engineering, the internal defects of brittle materials are randomly distributed, and their structural dimensions, material performance parameters, and loads also have uncertainties, which can be regarded as random variables with a certain distribution. [0004] Therefore, deterministic fracture mechanics treats all parameters as single-valued definite quantities, which will cause large deviations between the evaluated structure and the actual situation, and even get wrong evaluation results. [0005] In order to study the influence of...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F2111/08G06F30/20G06F2111/10G06N7/01
Inventor 张玉财蒋文春赵慧琴涂善东解学方
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
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