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A mono-sized sphere packing algorithm in cylindrical container with two-phase gravity-based method
- NUCLEAR TECHNIQUES Vol. 40, Issue 2, Article number: 020601(2017)
- 作者机构：
1.中国科学院上海应用物理研究所 嘉定园区 上海 201800
2.中国科学院大学 北京 100049
- 作者简介：
- 基金信息："Strategic Priority Research Program" of the Chinese Academy of Sciences
DOI：10.11889/j.0253-3219.2017.hjs.40.020601
CLC： TL339Received：26 September 2016，
Revised：29 November 2016，
Published：10 February 2017
- 稿件说明：
移动端阅览
Fengrui LIU, Jianping HUANG, Zhong LI, et al. A mono-sized sphere packing algorithm in cylindrical container with two-phase gravity-based method[J]. Nuclear techniques, 2017, 40(2): 020601
Fengrui LIU, Jianping HUANG, Zhong LI, et al. A mono-sized sphere packing algorithm in cylindrical container with two-phase gravity-based method[J]. Nuclear techniques, 2017, 40(2): 020601 DOI： 10.11889/j.0253-3219.2017.hjs.40.020601.
摘要
球床型氟盐冷却高温堆（Pebble-bed Fluoride-salt-cooled High-temperature Reactor，PB-FHR）是下一代核反应堆堆型之一，它融合了高温气冷堆的石墨基质包覆颗粒燃料球技术和熔盐堆的高温熔盐冷却剂技术。堆芯热工水力模拟计算（如在线换料模拟）常需要首先得到不同孔隙率的随机燃料球堆积。为此提出了一种可以高效地在圆柱形容器内部随机生成单一粒径且不同密实度的颗粒堆积的算法。算法分为两个阶段：首先类似传统颗粒自由下落方法来生成柔性颗粒的初始堆积（取颗粒杨氏模量远小于实际值）；其次令初始堆积恢复刚性，通过限定时间步的大小和引入能量耗散机制使得堆积缓慢而自由地膨胀，从而逐渐消除初始堆积中的颗粒间重合。模拟结果表明，膨胀算法在计算效率上有较大优势，并且可以覆盖从松散到密实的堆积范围。通过控制自由下落阶段的杨氏模量、摩擦系数、缓慢膨胀阶段的摩擦系数这三个变量来控制堆积的孔隙率和计算效率。
Abstract
Background
2
The Pebble-bed Fluoride-salt-cooled High-temperature Reactor (PB-FHR) is one type of next generation IV nuclear power plants. It combines two existing technologies to create a new reactor option:graphite-matrix
coated-particle fuels developed for helium-cooled high-temperature reactors and liquid-fluoride-salt coolant used in molten salt reactors. To proceed thermal-hydraulic analysis of the core of PB-FHR such as online refuelling
randomly packed bed with different porosity is usually required firstly.
Purpose
2
In this study
an efficient algorithm to produce randomly packed pebble bed with mono-sized spheres and variable packing factor in cylindrical containers is proposed.
Methods
2
The packing of the pebble bed is initially constructed by free falling of soft particles (Young's module much less than the real value) under the gravity environment using the discrete element method (DEM). During the free-falling process
different Young's modules and friction factors are used to control the overlaps of the packing. Then the packing expands with specific large Young's module and friction factor to eliminate the unrealistic large overlaps. In the expanding process
the time step is limited and the strategy of dissipating elastic energy is introduced to constrain the speed of expansion.
Results
2
Low friction factor in two processes tends to produce the dense packing or vice versa. The computational burden depends on the Young's module in the free-falling process significantly.
Conclusion
2
Through adjusting the friction factor and the Young's module in the free-falling process and the friction factor in the expansion process
the packing algorithm can generate the pebble bed with wide range of porosity and higher computational efficiency.
关键词
Keywords
references
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