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Structural reliability analysis self-adaptive point adding method for multiple agent models

A surrogate model and self-adaptive technology, applied in neural learning methods, biological neural network models, design optimization/simulation, etc., can solve the problems of mean square error, no way to achieve self-adaptive point addition, etc.

Inactive Publication Date: 2020-10-20
JILIN UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] At present, the main proxy models that use the adaptive point addition method are largely limited to the Kriging model. Other proxy models cannot give the mean square error of the prediction points in the same way as the Kriging model when dealing with structural reliability analysis problems. , there is no way to achieve adaptive point addition

Method used

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  • Structural reliability analysis self-adaptive point adding method for multiple agent models
  • Structural reliability analysis self-adaptive point adding method for multiple agent models
  • Structural reliability analysis self-adaptive point adding method for multiple agent models

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0062] 1) Specify the function function of the structure to be analyzed, and determine the variables of the function function and their probability distribution information; the function function of the two-dimensional application example is as follows:

[0063]

[0064] in, Represents the functional function of embodiment 1, and is the variable of the function function, obeys a normal distribution with mean 1.5 and standard deviation 1, while Obey the normal distribution with a mean of 2.5 and a standard deviation of 1;

[0065] 2) According to the probability density distribution function of the variables determined in step 1 , using the Monte Carlo sampling method to extract candidate sample points to form a candidate sample point set ; In this embodiment 1, extract candidate sample points. figure 2 and image 3 Both show the obtained set of candidate sample points for Monte Carlo sampling ;

[0066] 3) According to the variables determined in step 1...

Embodiment 2

[0085] In order to further demonstrate the effectiveness of the method proposed in the present invention, a common engineering system is proposed as an example, and the method proposed in the present invention is described in detail.

[0086] 9) Specify the functional function of the structure to be analyzed, and determine the variables of the functional function and their probability distribution information; in this embodiment 2, it is a common undamped single-degree-of-freedom oscillation system, and its structural diagram is Figure 4 . Oscillator Functions defined as

[0087]

[0088] in, ,variable , the specific probability distribution is shown in Table 2.

[0089]

[0090] 10) According to the probability density distribution function of the variables determined in step 1 , using the Monte Carlo sampling method to extract candidate sample points to form a candidate sample point set ; In this embodiment 2, extract candidate sample points;

[0091] 11...

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Abstract

The invention discloses a structure reliability analysis-oriented sequence point adding method, which comprises the following steps of: appointing a performance function of a structure to be analyzed,and determining variables and published information thereof; utilizing Monte Carlo sampling to obtain a candidate sample point set; utilizing Latin hypercube sampling to obtain initial points and forming an initial sample set; acquiring function values of the corresponding performance functions and constructing agent models; carrying out Monte Carlo numerical simulation on the agent models to obtain a failure rate of the current iterative step; and acquiring a final agent model and a failure probability. The structure reliability analysis-oriented sequence point adding method has popular universality and applicability, can be suitable for a non-kriging model, greatly expands an agent model method suitable for structural reliability analysis, and has important significance in the field ofreliability analysis.

Description

technical field [0001] The invention belongs to the field of structural reliability analysis, and in particular relates to the aspect of analyzing structural reliability by using an agent model of an adaptive point-adding method. Specifically, it is an adaptive point-adding method for structural reliability analysis oriented to multiple agent models. Background technique [0002] The structural reliability design and analysis method is to consider the reliability of the structure within the service life as a quantitative index, by establishing the functional function of the structure with the above-mentioned loads, boundary conditions, etc. sex index. Compared with the traditional deterministic analysis method, it fully considers various influencing parameters of the structure within the service life, and effectively avoids the lack of safety or redundancy of the traditional method. And through the sensitivity analysis, the key parameters that affect the reliability of the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06N3/08
CPCG06N3/08G06F30/27
Inventor 李国发陈泽权何佳龙钟瑞龄陈传海
Owner JILIN UNIV
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