Mechanical reliability analysis method based on probability design

Abstract

The invention provides a mechanical reliability analysis method based on probability design, and the method comprises the steps: S1, building a simplified model for a structural part, obtaining the mechanical response characteristics of the simplified model, and determining a response sensitive part of the simplified model; S2, responding to a sensitive part according to the mechanical response characteristics obtained in the step S1, and determining a dangerous stress part of the simplified model; taking the geometric dimension of the dangerous stress part as a modeling parameter, and carrying out parametric modeling on the dangerous stress part; S3, taking the geometric dimension of the dangerous stress part as an input variable, taking the mechanical response characteristic of the dangerous stress part obtained in the step S1 as an output variable, performing test design, and obtaining test data; s4, fitting an input variable and a corresponding output variable in the test data, andconstructing a response surface; and S5, carrying out reliability analysis, and providing data support for optimizing the structural member. According to the invention, faults can be prevented in a product design stage.

Description

technical field [0001] The invention relates to the technical field of reliability analysis, in particular to a mechanical reliability analysis method based on probability design. Background technique [0002] With the rapid development of science and technology, modern structural parts are becoming more and more complex, and the requirements for functional indicators are gradually increasing. In order to effectively characterize the randomness and uncertainty of the failure process of each structural part, structural reliability analysis is imperative. At present, there are generally two ways of thinking about the reliability analysis of the mechanical environment: one is to evaluate the reliability level by analyzing the design and manufacturing information of structural parts, collecting sample field failure data and a large number of mechanical tests, and put forward reliability improvement measures . Among them, the collection of fault data requires a long time to trac...

AI Technical Summary

Problems solved by technology

Among them, the collection of fault data requires a long time to track and simulate the sample, and the mechanical test and subsequent performance test also need a lot of time; the second is to use numerical simulation technology in the product design stage, although the geometric size of a given structural part can be , topological structure to do a certain simulation analysis, but the designer can only do numerical analysis on the given geometric size, and then guide the design direction according to the results, so it will also take a lot of time to repeat the design and simulation verification

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