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A random multiple extreme value response surface method for reliability analysis of a flexible component

A flexible component, multiple extreme value technology, applied in the field of random multiple extreme value response surface method, can solve the problem of rarely fused multiple extreme value response surface method and so on

Inactive Publication Date: 2019-06-14
HARBIN UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

According to the Cameron-Martin theorem, any function from the HIilbert space can be fitted by the Hermite polynomial function. At present, SRSM rarely integrates the multiple extreme value response surface method (MERSM) and applies it to the reliability optimization of multi-failure mode structures. designing

Method used

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  • A random multiple extreme value response surface method for reliability analysis of a flexible component

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Embodiment 1

[0020] A stochastic multiple extreme value response surface method for reliability analysis of flexible components, comprising the following steps:

[0021] a. Comprehensively consider the nonlinear material properties of the flexible member material and the combined effect of mechanical loads, and find the maximum output response point of the flexible member through static analysis;

[0022] b. Select the input random variable, use the Latin hypercube sampling technique (LHS) to sample the input random variable sample, and solve the finite element basic equation for each sample to obtain the corresponding output response;

[0023] c. Construct a stochastic multiple extreme value response surface function (SMERSF) to complete the reliability analysis of flexible member structures;

[0024] d. Verify the effectiveness of SMERSM.

Embodiment 2

[0026] According to the stochastic multiple extreme value response surface method of the flexible component reliability analysis described in embodiment 1, in the described step a, the density, elastic modulus, cross-sectional size, and each friction factor of the flexible component are used as input variables, considering the flexibility There is a coupling effect of clearance and mechanical load at the connection of components, and the basic finite element equations of components are solved, and deterministic analysis is carried out to find the maximum deformation point, maximum stress point and maximum strain point of flexible components.

Embodiment 3

[0028] According to the random multiple extreme value response surface method of flexible member reliability analysis described in embodiment 1, in the described step b, consider the randomness of data, use above-mentioned input variable as input random variable, use Latin hypercube sampling technique to extract Input random variable samples, solve the finite element basic equations for each sample, and obtain the corresponding dynamic output responses of deformation, stress, and strain in the analysis time domain.

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Abstract

The invention discloses a random multiple extreme value response surface method for reliability analysis of a flexible component. The method comprises the following specific steps: comprehensively considering the combined action of the nonlinear material attribute and the mechanical load of the flexible component, and finding out the maximum output response point of the blade through static analysis; selecting an input random variable, extracting an input random variable sample by applying a Latin hypercube sampling (LHS) technology, and solving a finite element basic equation for each sampleto obtain a corresponding output response; constructing a random multiple extreme value response surface function (SMERSF), completing reliability analysis of the flexible component; and carrying outvalidity verification on the SMERSM. The reliability analysis method for the multi-failure-mode structure is rapid and efficient.

Description

technical field [0001] The invention relates to a method for analyzing the reliability of a flexible component, in particular to a random multiple extreme value response surface method for analyzing the reliability of a flexible component. Background technique [0002] Flexible components are an important part of mechanical systems in aerospace, robotics and other fields. Their reliability affects the performance of the entire mechanical system. Flexible components often bear complex dynamic mechanical loads, and at the same time experience deformation, displacement accuracy, speed accuracy, Acceleration accuracy and other composite failure modes, therefore, it is of great significance to perform multi-failure mode reliability on flexible components. [0003] At present, many probability analysis methods have been applied to structural reliability analysis, the more common methods are: Monte Carlo method, stochastic finite element method, response surface method and neural n...

Claims

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Application Information

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IPC IPC(8): G06F17/50
Inventor 张春宜袁哲善王泽
Owner HARBIN UNIV OF SCI & TECH
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