Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Continuous-energy-point Monte Carlo particle transport method based on multi-group virtual sections

A particle transport and Monte Carlo technology, applied in the field of atomic energy science, can solve problems such as easy misoperation, loss of nuclear data accuracy, complex processing, etc., and achieve the effect of less memory, good calculation speed, and low memory overhead

Active Publication Date: 2017-01-25
HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
View PDF1 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In this method, the energy points in the unified energy grid will be reduced a lot (more than 50%), but there are still many, and the processing is complicated, and it is easy to misuse and cause the loss of nuclear data accuracy

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Continuous-energy-point Monte Carlo particle transport method based on multi-group virtual sections

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] like figure 1 Shown, the realization process of the present invention includes the following contents:

[0029] 1. Preprocessing the continuous energy point nuclear data read from the nuclear database in the Monte Carlo particle transport simulation is achieved through the following steps:

[0030] In the first step, the multi-group unified energy grid array adopts the multi-group unified energy grid array given by the user or built in the program, which is recorded as MultiGErgArray[N MG ], where N MG Indicates the number of grids in the multi-group unified energy grid array (N MG 50-400 is recommended);

[0031] The second step, the establishment of multi-group nuclide pointer array: compare the energy grid array EryArray of each single nuclide i i [N i ], N i Indicates the number of grids, and the multi-group unified energy grid array MultiGErgArray[N MG ], find out that each energy point MultiGErgArray[j] in the multigroup unified energy grid array is in the ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a continuous-energy-point Monte Carlo particle transport method based on multi-group virtual sections. According to the method, a multi-group unionized energy grid is constructed, and section data of materials and nuclides corresponding to the multi-group unionized energy grid are calculated in advance, so that people can acquire various section data needed for transport calculation by only searching the multi-group unionized energy grid one time in each transport, and calculation time is shortened greatly. The normal nuclide continuous-energy grid is of thousands or even more energy points, and the quantity of grid points in the common unionized energy grid method is up to hundreds of thousands and even millions, but the multi-group unionized energy grid is of a small quantity of grid points, and accordingly, internal storage is reduced while single search time is shortened, calculation time is saved, and loss of calculation precision is avoided.

Description

technical field [0001] The invention relates to a continuous energy point Monte Carlo particle transport method based on multi-group imaginary sections, and belongs to the field of atomic energy science and technology. Background technique [0002] The Monte Carlo (MC) method is currently the most commonly used method in particle transport simulation. MC particle transport simulation obtains relevant cross-sectional data of various reactions between particles and matter from the nuclear data of continuous energy point cross-sections to guide various sampling processes in the transport process. The energy grid division of continuous energy points of different nuclides is different. In MC calculation, it is necessary to search the energy grid of each nuclide frequently according to the incident energy to find the corresponding grid index to obtain the corresponding cross section. . These frequent grid searches lead to very slow calculations when there are many nuclides, espe...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 郝丽娟吴宜灿胡丽琴宋婧孙光耀
Owner HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com