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Nuclear radiation shielding material optimization design method

A shielding material and optimized design technology, applied in the field of materials, can solve the problems of long cycle time and high consumption of raw material resources, and achieve the effect of good overall performance and improved optimization efficiency

Inactive Publication Date: 2012-09-12
XI AN JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It overcomes the shortcomings of traditional development methods such as long cycle time and large consumption of raw material resources.

Method used

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  • Nuclear radiation shielding material optimization design method
  • Nuclear radiation shielding material optimization design method
  • Nuclear radiation shielding material optimization design method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] Optimal design of lead boron polyethylene series materials.

[0029] The basic material components chosen are polyethylene, boron carbide and lead. The optimized objective function is the total dose equivalent after shielding. Constraints are the density of the material and the percentage of a certain component. See Table 5-1.

[0030] In-depth study of the genetic algorithm program GENOCOPII and MCNP software. Make appropriate improvements to them according to the needs, so as to facilitate the connection and operation of the two programs. Using C language to implement the call of MCNP software in the genetic algorithm program GENOCOPII to complete the debugging of the whole algorithm. Then optimize the calculation of the selected materials.

[0031] Optimize calculation results:

[0032] The result number under the first constraint condition in Table 1 is PBa, and the estimated density is 3.36g cm-3; the result number under the second constraint condition is PBb...

Embodiment 2

[0038] Optimal design of polyester-based composites.

[0039] For the selection of components, see Table 2. Select the components in the table, and the molecular formula and density are given together:

[0040] Table 2 Optional shielding material components under the polyester composite process

[0041]

[0042] Make appropriate improvements to them according to the needs, so as to facilitate the connection and operation of the two programs. Using C language to implement the call of MCNP software in the genetic algorithm program GENOCOPII to complete the debugging of the whole algorithm. Then optimize the calculation of the selected materials. Among them, the optimization index is the total dose equivalent of gamma rays and neutrons or the total number of particles shielded by the material, and the constraint conditions are the density of the material and the percentage of a certain material.

[0043] Running the optimization design program can obtain a series of optimiz...

Embodiment 3

[0050] Multi-objective optimization

[0051] The selected material components: epoxy resin, lithium carbonate, boron carbide, aluminum oxide, graphite, iron, gadolinium oxide, tungsten carbide, lead, nano titanium dioxide.

[0052] The selected targets are material shielding performance, thermal conductivity, thermal expansion coefficient, and elastic modulus. according to figure 1 The experimental procedure shown is calculated.

[0053] Calculation results.

[0054] The three materials numbered 1, 2, and 3 respectively correspond to: the weight coefficient α of the first objective function is 0.8, the weight coefficient α of the second objective function is 0.9, and the weight coefficient α of the third objective function is 0.9. The comparison materials were selected as PB202 and Cake1.

[0055] Table 4 shows the physical property parameters of each material tested by MCNP, Figure 4 A comparison of the shielding effects of the five materials mentioned above is given. ...

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Abstract

The present invention discloses a nuclear radiation shielding material optimization design method, comprising the following steps: (1) initializing a material ratio; (2) according to the element ratio obtained in step (1), respectively calculating physical quantities of shielding properties, thermal properties, mechanical properties and etc. of characteristic materials; (3) making results of step (2) dimensionless and then calculating a weighted sum; (4) obtaining an optimized objective function value from step (3), the value being one daughter of genetic algorithm; corresponding to the material ratio adaptation characteristics, using the genetic algorithm to conduct choosing, crossing and variation to give a new material component ratio, and then repeating step (1); outputting an optimized material ratio after the objective function gets an optimum value through loop calculation. The nuclear radiation shielding material optimization design method, 1) realizes component optimization design of a plurality of materials, 2) can be easily complied to a computer program for improving searching efficiency and effectively guiding the design and production of a nuclear radiation shielding material, and 3) comprehensively takes multiple properties of materials into account, and thus is capable of optimizing and designing a novel shielding material with good comprehensive properties.

Description

Technical field: [0001] The invention belongs to the field of materials, and relates to a material optimization design method, in particular to a nuclear radiation shielding material optimization design method. Background technique: [0002] Nuclear radiation shielding materials are an important part of various nuclear facilities and one of the decisive factors for the smooth implementation of nuclear science and technology practices. [0003] The development method of traditional nuclear radiation shielding materials is to determine the ratio of materials and substances through a large number of theoretical calculations and professional experience, then conduct process research, and then manufacture material samples, conduct experimental measurements, and finally select good shielding materials as finalized products. Traditional development methods have disadvantages such as long cycle time and large consumption of raw material resources. More importantly, it is difficult ...

Claims

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Application Information

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IPC IPC(8): G06F17/50
Inventor 胡华四张天奎郭威
Owner XI AN JIAOTONG UNIV
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