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Self-adaption reliability analysis method

An analysis method and reliable technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of small calculation amount and difficult control of replacement models, and achieve the effect of improving efficiency and accuracy

Pending Publication Date: 2018-07-20
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

Currently, common alternative models include support vector machine, artificial neural network, polynomial chaos expansion, quadratic response surface, correlation vector machine (relevance vector machine) and Kriging model (Kriging), etc., have a small amount of calculation when used in combination with sampling methods to evaluate the reliability of structural systems, but it also shows that the approximation error of the alternative model is difficult to control at the ideal threshold range disadvantages

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Embodiment Construction

[0041] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0042]Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus repeated descriptions thereof will be omitted. Some of the block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities m...

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Abstract

The invention provides a self-adaption reliability analysis method. The self-adaption reliability analysis method includes the steps that sampling is carried out in indeterminate probability space, aninitial DoE is selected, and a Kriging substitution model is built through the initial DoE; sampling is carried out with the important sampling method, and candidate samples are obtained; a sample point nearest to a performance function limit state surface in the candidate samples is screened, and a response value of the sample point is computed; whether the Kriging substitution model meets the convergence criterion or not is judged, if the Kriging substitution model does not meet the convergence criterion, the sample point and the response value are added into the DoE, and the Kriging substitution model is updated according to the result till the Kriging substitution model meets the convergence criterion; the reliability of the Kriging substitution model is evaluated, if the Kriging substitution model does not meet the accuracy requirement, the quantity of candidate samples is increased with the important sampling method, and iteration updating is carried out according to the resulttill the Kriging substitution model meets the accuracy requirement. According to the self-adaption reliability analysis method, the analysis efficiency and accuracy of the reliability of a structure system in practical engineering can be effectively increased.

Description

technical field [0001] The disclosure belongs to the technical field of system reliability analysis and structure design, and in particular relates to an adaptive reliability analysis method. Background technique [0002] In structural engineering design, reliability analysis and design has become an important research field. Considering that the input of the structural system is a random variable, the failure probability of the structural system can be obtained by calculating the ratio of the sample falling into the failure domain to the entire sample space. The failure probability of the structural system can effectively reflect its reliability level. So as to carry out structural reliability analysis and design. [0003] At present, the main reliability analysis methods are methods based on sampling techniques, such as Monte Carlo Simulation (MCS), which are widely used in the assessment of reliability problems. The advantage of this method is that it can solve the eval...

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/367
Inventor 周长聪唐成虎岳珠峰张政王文选刘付超
Owner NORTHWESTERN POLYTECHNICAL UNIV
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