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Fuzzy intelligent decomposition-coordination extreme response surface method of reliability optimization design

A technology of decomposition, coordination and optimization design, applied in multi-objective optimization, calculation, CAD numerical modeling, etc., can solve problems such as poor engineering practicability, and achieve the effect of convenient actual analysis and calculation

Inactive Publication Date: 2018-02-23
HARBIN UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

The problem of failure correlation processing has always been a hot spot in the research of structural reliability design, but the various methods proposed so far have poor engineering practicability, and the failure correlation processing method is still the main obstacle to the optimal design of structural reliability

Method used

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  • Fuzzy intelligent decomposition-coordination extreme response surface method of reliability optimization design

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Embodiment 1

[0019] A fuzzy intelligent decomposition coordinated extreme value response surface method for reliability optimization design, comprising the following steps:

[0020] a. Obtain the output responses of the blades and discs under their respective failure modes through thermal-structural coupling deterministic analysis;

[0021] b. Construct fuzzy decomposition coordination extreme value response surface function (FIDCERSF);

[0022] c. Using MCM for dynamic reliability sensitivity analysis;

[0023] d. Establish fuzzy decomposition coordination reliability optimization design model (FDCRBDO).

Embodiment 2

[0025] According to the fuzzy intelligent decomposition coordination extreme value response surface method of the reliability optimization design described in embodiment 1, in the described step a, the density, temperature, aerodynamic pressure, elastic modulus, and thermal expansion coefficient of the blade-disc are used as input Random variables, find the maximum stress point, maximum creep strain point, minimum life point, maximum crack J integral point of the blade and the maximum stress point, maximum creep strain point, minimum life point of the wheel through deterministic analysis, and combine aviation Engine GH4133B alloy fatigue-creep damage relational formula, comprehensive equation of creep enduring thermal strength parameters, and Miner's linear cumulative damage rule to calculate blade-disc creep damage, fatigue damage, and creep enduring life.

Embodiment 3

[0027] According to the fuzzy intelligent decomposition coordination extreme value response surface method of the reliability optimization design described in embodiment 1, in the described step b, consider the fuzziness and randomness of the data, use the above-mentioned input variable as the input random variable, and use the Latin super Cubic sampling technique (LHS) extracts input random variable samples, solves the finite element basic equation for each sample, and obtains the corresponding stress, creep strain, low cycle fatigue life, crack J integral, creep damage, fatigue damage, and creep durability For the output response of life in the analysis time domain, all the maximum values ​​of the dynamic output response in the analysis time domain and their corresponding input random variables are used as sample points, and the Possibilistic fuzzy c-means clustering algorithm (Possibilistic fuzzy c-means clustering, PFCM) calculates the membership degree of the sample, norma...

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Abstract

The invention discloses a fuzzy intelligent decomposition-coordination extreme response surface method of reliability-based optimal design. The method comprises the specific steps that the output response of a blade in the corresponding failure mode and the output response of a turbine disc in the corresponding failure mode are obtained respectively through heat-structure coupling certainty analysis; a fuzzy intelligent decomposition-coordination extreme response surface function (FIDCERSF) is constructed; dynamitic reliability sensitivity analysis is conducted by using an MCM; a fuzzy decomposition-coordination reliability-based optimal design model (FDCRBDO) is constructed. The method has strong advantages in the aspect of the overall reliability optimization design of a structure in a multi-component and multi-failure mode.

Description

technical field [0001] The invention relates to a method for overall reliability optimization design of multi-component and multi-failure mode structures, in particular to a fuzzy intelligent decomposition coordination extreme value response surface method for reliability optimization design. Background technique [0002] In many cases, the mechanical structure is a structural system assembled from several components, such as the rotor structural system of an aero-engine, which is assembled from components such as the main shaft, the disc, and the blades. For multi-component and multi-failure mode structural systems, the reliability design of each component cannot be carried out independently, but the overall reliability design of all components must be carried out in order to achieve better technical and economic results. [0003] The reliability optimization design of multi-component and multi-failure mode structures needs to solve the following two problems: the first is ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/17G06F2111/06G06F2111/10
Inventor 张春宜孙田王爱华井慧哲李成伟
Owner HARBIN UNIV OF SCI & TECH
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