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Monte Carlo fusion reactor repeat processing method based on label information

A technique for repeating structures and marking information, applied in special data processing applications, electrical digital data processing, instruments, etc., to achieve the effects of easy recovery, improved reliability, and reduced memory overhead

Active Publication Date: 2015-02-18
HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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Problems solved by technology

In essence, this processing method just simplifies the geometry storage, but in the calculation of fixed source and criticality, the geometry is still expanded when particle tracking, counting and fission source particle storage. The generation and storage of fission source particles in the calculation need to determine the position information and the cell where they are located, so there are coordinate conversions between a large number of particles and the counting area

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  • Monte Carlo fusion reactor repeat processing method based on label information
  • Monte Carlo fusion reactor repeat processing method based on label information
  • Monte Carlo fusion reactor repeat processing method based on label information

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Embodiment Construction

[0031] The present invention takes the partial cell flux calculation of the disclosed ITER benchmark example as an example to illustrate the specific implementation steps of the present invention. The benchmark example model is complex, and the 360° full model contains nearly ten thousand cells. The ordinary PC cannot actually calculate it due to the limitation of memory, and can only use the method of adding a 40° fan-shaped model and a reflective surface. Only this example is given in the present invention The schematic diagram of the flux calculation of some cells, such as Figure 4 As shown, the calculation principle of the complete model is the same. The 360° full model is a copy arrangement of the 40° fan-shaped model on the right. In the 40° model, body A and body B are exactly the same except for different positions. Body A' and body B' and Body A and body B are corresponding, but they are in the next 40° sector model. Use the concrete implementation steps of the pres...

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Abstract

The invention discloses a Monte Carlo fusion reactor repeat processing method based on label information. The method comprises the following steps: obtaining a calculating input parameter, establishing a geometric tree shaped structural relation according to the calculating input parameter, only storing a basic model and a corresponding relation between the basic model and a model repeated with the basic model, transforming a counting zone to the basic model and storing the serial number of the model and a transformation relation namely the label information of the counting zone, transforming particles to the basic model to transport the particles during particle transport tracking, storing the serial number of the model and transformation relations namely label information of the particles, and performing subsequent calculating when the label information of the particles is consistent with the label information of the counting zone. The method actually reflects space positions and directions of the particles, improves the authenticity and reliability of results, reduces unnecessary memory overhead, so as to improve the calculating efficiency, and can be applied to fields of reactor physics and neutronics analysis.

Description

technical field [0001] The invention relates to a method for processing repetitive structures of a Monte Carlo fusion reactor based on marker information, and belongs to the technical fields of reactor physics and neutronics information processing. Background technique [0002] In the process of reactor physical design and analysis, radiation transport calculation is the foundation and core content. The calculation of radiative transport mainly includes analytical method and Monte Carlo method. The analytical method has the advantages of fast and high calculation accuracy for problems with relatively regular geometry and material distribution, but it has large errors or cannot be solved for complex problems; Monte Carlo method The Luo method is a method of probability and statistics, which describes the macroscopic statistical properties of the system by almost simulating the behavior of each particle in a real way. It is not limited by the geometry and materials of the prob...

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Application Information

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IPC IPC(8): G06F19/00
Inventor 宋婧陈珍平吴斌龙鹏程吴宜灿
Owner HEFEI INSTITUTES OF PHYSICAL SCIENCE - CHINESE ACAD OF SCI
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