Data driven probability assessment method

A data-driven, probabilistic technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problem of lack of probabilistic evaluation in the mechanical calculation of the main system, and achieve the effect of avoiding the dynamic calculation process and reliable calculation results

Active Publication Date: 2018-11-16
NUCLEAR POWER INSTITUTE OF CHINA
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Problems solved by technology

[0007] Aiming at the dynamic analysis and load distribution calculation of the reactor coolant system under extreme design conditions, the present invention provides a data-driven prob

Method used

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Embodiment

[0039] This example selects a reactor coolant system as the research object, and the dynamic analysis calculation model of the main system is as follows: figure 2 shown. The key parameters of the main system selected in this application example are the stiffnesses of the four types of supports. The information of the key parameters is shown in Table 1. The component for probability evaluation is the lower lateral support.

[0040] Table 1 Key parameters of the main system

[0041]

[0042] In order to better understand the above-mentioned technical solution, the above-mentioned technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0043] S10, establish a calculation model for the dynamic analysis of the main system, and build and describe the input-output relationship from the key parameters of the system to the load distribution of the key components of the system based on the finite elem...

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Abstract

The invention discloses a data driven probability assessment method. The method is applied to reactor coolant system dynamic analysis and comprises the steps that a finite element calculation procedure is used for establishing and describing an input output relationship from main system key parameters to load distribution; a database composed of a great number of sample points is established through sampling in parameter space, and labels are given to data through relevant evaluation standards and design specifications; based on the database, regression and sorting algorithms in machine learning are utilized to establish an input output surrogate model; failure bounds of components in the parameter space are calculated, and a corresponding relation between the key parameters to a failure probability is obtained; for a new parameter combination, the surrogate model and the failure bounds can be used for quickly assessing the load distribution and component failure probability of a mainsystem, thereby providing support for the optimization of reactor coolant system key parameters.

Description

technical field [0001] The invention relates to the field of reactor structural mechanics, in particular to a probability evaluation method for dynamic analysis of a reactor coolant system, which is used for dynamic analysis and load distribution calculation of the reactor coolant system. Background technique [0002] The dynamic analysis and load distribution calculation of the reactor coolant system (main system) are important links in the structural design of the reactor, and are the main technical means for evaluating the structural safety. The dynamic analysis and load distribution calculation of the main system involve multi-disciplines, multi-physics fields, and multi-state coupling. In modeling calculations, it is usually necessary to comprehensively consider and optimize calculation methods, calculation amounts, calculation accuracy, and modeling methods. [0003] In engineering, the mechanical evaluation of the key components of the main reactor system is mainly ca...

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/23
Inventor 熊夫睿叶献辉兰彬冯志鹏张毅雄
Owner NUCLEAR POWER INSTITUTE OF CHINA
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