Coupled stochastic-deterministic method for accelerator-driven subcritical system transient analysis

Zheng Qi; Wu Hongchun; Li Yunzhao; Cao Liangzhi; He Mingtao

doi:10.11884/HPLPB201830.170243

Volume 30 Issue 1

Jan. 2018

Turn off MathJax

Article Contents

Abstract

References

Article Navigation > High Power Laser and Particle Beams > 2018 > 30(1): 016001

Zheng Qi, Wu Hongchun, Li Yunzhao, et al. Coupled stochastic-deterministic method for accelerator-driven subcritical system transient analysis[J]. High Power Laser and Particle Beams, 2018, 30: 016001. doi: 10.11884/HPLPB201830.170243

Citation:

Zheng Qi, Wu Hongchun, Li Yunzhao, et al. Coupled stochastic-deterministic method for accelerator-driven subcritical system transient analysis[J]. High Power Laser and Particle Beams, 2018, 30: 016001. doi: 10.11884/HPLPB201830.170243

Citation:

PDF( 1801 KB)

Coupled stochastic-deterministic method for accelerator-driven subcritical system transient analysis

doi: 10.11884/HPLPB201830.170243

School of Nuclear Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China

Received Date: 2017-05-27
Rev Recd Date: 2017-08-08
Publish Date: 2018-01-15

Abstract

Abstract

In accelerator-driven subcritical system (ADS), the transient characteristic is quite different from that of traditional critical system due to its strong external neutron source and its fuel composition for transmutation. This paper presents a coupled stochastic-deterministic method for analysing the transient characteristic of ADS. After comparing various reactor transient calculation methods, predictor-corrector improved quasi-static method was chosen to handle the time variable of neutron space-time kinetics equation. Considering the specific neutron spectrum, Monte Carlo method was used to handle the corresponding spatial, angle and energy variables. The main problem encountered is the Monte Carlo iteration instability for slightly subcritical system. Numerical results demonstrates the effectiveness of the new method.
- accelerator-driven subcritical system,
- transient analysis,
- Monte Carlo method,
- predictor-corrector improved quasi-static method,
- coupling method

FullText(HTML)

References(15)

References

[1]	NEA Nuclear Science Committee. Accelerator-driven systems (ADS) and fast reactor (FR) in advanced nuclear cycles, a comparative study[R]. OECD/NEA, 2002.
[2]	Oecd. Physics and safety of transmutation systems: A status report[J]. OECD Papers, 2006, 6(3): 13-13. https://www.oecd-ilibrary.org/economics/physics-and-safety-of-transmutation-systems_oecd_papers-v6-art13-en
[3]	Ott K O, Neuhold R J. Introductory nuclear reactor dynamics[M]. America: Amer Nuclear Society, 1985.
[4]	Azmy Y, Sartori E. Nuclear computational science, A century in review[M]. Germany: Springer, 2010.
[5]	Stacey W M. Nuclear reactor physics[M]. 2nd ed. Weinheim: WILEY-VCH Verlag GmbH & Co. KGaA, 2007.
[6]	Hébert A. Applied reactor physics[M]. Canada: Presses Internationals Polytechnique, 2009.
[7]	Dulla S, Mundb E H, Ravetto P. The quasi-static method revisited[J]. Progress in Nuclear Energy, 2008, 50: 908-920. https://www.sciencedirect.com/science/article/pii/S014919700800084X
[8]	杜柄. 三维时空扩散中子动力学快速计算方法及外源驱动次临界系统中子动力学计算[D]. 西安: 西安交通大学, 2012. Du Bing. Fast calculation method for three-dimensional space-time neutron diffusion kinetics equations and study of neutron kinetics for source-driven subcritical system. Xi'an: Xi'an Jiaotong University, 2012
[9]	X-5 Monte Carlo Team. MCNP—A general Monte Carlo N-particle transport code, Version 5, Volume Ⅱ: User's guide[R]. LA-UR-03-0245, 2003.
[10]	Raskach K F, Korobeinikov V V. Effective algorithm for calculation of a subcritical reactor with an external source[J]. Atomic Energy, 1998, 85(6): 911-915.
[11]	Goluoglu S. A deterministic method for transient three-dimensional neutron transport[D]. USA: University of Tennessee, Nuclear Engineering Department, 1997.
[12]	Ban Y, Endo T, Yamamoto A. A unified approach for numerical calculation of space-dependent kinetic equation[J]. Journal of Nuclear Science and Technology, 2012, 49(5): 496-515.
[13]	Zhu A, Xu Y, Graham A, et al. Transient methods for pin-resolved whole core transport using the 2D-1D methodology in MPACT[C]//M&C. 2015.
[14]	He M, Wu H, Zheng Y, et al. Beam transient analyses of Accelerator Driven Subcritical Reactors based on neutron transport method[J]. Nuclear Engineering & Design, 2015, 295: 489-499. https://www.sciencedirect.com/science/article/pii/S0029549315004872
[15]	何明涛. 液态金属冷却快堆的瞬态输运计算方法及次锕系核素嬗变的瞬态特性分析研究[D]. 西安: 西安交通大学, 2016. He Mingtao. Transport-based transient methods of liquid-metal cooled fast reactors and transient characteristics of minor actinides. Xi'an: Xi'an Jiaotong University, 2016

Relative Articles

[1]	Xie Rong, Hao Jianhong, Zhao Qiang, Zhang Fang, Fan Jieqing, Xue Bixi, Dong Zhiwei, Cao Xiangchun. Research on Monte Carlo calculation method for photon absorbed dose[J]. High Power Laser and Particle Beams, 2024, 36(10): 106003. doi: 10.11884/HPLPB202436.240037
[2]	Li Jie, Li Yunzhao, Wu Hongchun, Zheng Qi. Weighted Monte Carlo solution of neutron kinetics equations[J]. High Power Laser and Particle Beams, 2018, 30(1): 016009. doi: 10.11884/HPLPB201830.170242
[3]	Sun Shiqiao, Pan Ziwen, Li Mengke, Zhou Yidong. Study of reactor criticality and kinetics calculation methods based on Geant4[J]. High Power Laser and Particle Beams, 2017, 29(05): 056007. doi: 10.11884/HPLPB201729.160413
[4]	Wang Yongpeng, Guo Yuhui, Luo Bingfeng, Luo Jiangbo, Liu Haitao, Wang Jing, Liu Ting. Design of accelerator beam cut control system based on FPGA[J]. High Power Laser and Particle Beams, 2016, 28(10): 105103. doi: 10.11884/HPLPB201628.160004
[5]	Han Feng, Liu Yu, Wang Bin. Method for evaluating radiation harden performance of electronic system based on system status[J]. High Power Laser and Particle Beams, 2016, 28(08): 084001. doi: 10.11884/HPLPB201628.150695
[6]	Cheng Zhenbo, Liu Xiaolong, Yan Junkai. Evaluation of uncertainty in peak detector calibration based on Monte-Carlo method[J]. High Power Laser and Particle Beams, 2016, 28(11): 113007. doi: 10.11884/HPLPB201628.151066
[7]	Yang Qingxi, Zhou Xing, Wang Qingguo, Yao Kai, Jiang Bo. Equivalent circuit model for transient analysis of lossy non-uniform transmission line network[J]. High Power Laser and Particle Beams, 2016, 28(11): 113201. doi: 10.11884/HPLPB201628.160154
[8]	Zhang Jie, Zhang Ying, Chen Xiulian, Pang Beibei, Bai Lixin. Geometric factor calculation program based on Monte Carlo method[J]. High Power Laser and Particle Beams, 2015, 27(01): 014002. doi: 10.11884/HPLPB201527.014002
[9]	Jiang Ziyun, Zhang Peng, Niu Xiaofei, Guo Xiaohong, Zhang Junhui, He Yuan. Vacuum control system of the injector Ⅱ for accelerator driven sub-critical system[J]. High Power Laser and Particle Beams, 2015, 27(08): 085101. doi: 10.11884/HPLPB201527.085101
[10]	Zheng Yawei, Xu Weibin, Luo Bingfeng, Guo Yuhui. Sub-control system based on PXIe controller for high intensity proton accelerator[J]. High Power Laser and Particle Beams, 2014, 26(09): 095101. doi: 10.11884/HPLPB201426.095101
[11]	Chen Li, Ma Hao, Zeng Zhi, Li Junli, Cheng Jianping. Monte Carlo-based sourceless efficiency calibration method of HPGe γ spectrometer[J]. High Power Laser and Particle Beams, 2013, 25(01): 201-206. doi: 10.3788/HPLPB20132501.0201
[12]	Su Jian, Zeng Zhi, Liu Yue, Yue Qian, Ma Hao, Cheng Jianping. Monte Carlo simulation of muon radiation environment in China Jinping Underground Laboratory[J]. High Power Laser and Particle Beams, 2012, 24(12): 3015-3018. doi: 10.3788/HPLPB20122412.3015
[13]	Zhang Xuan, Huang Jiaofeng, Liu Jun, Guan Yonghong, Liu Jin. Application of Monte Carlo method to boundary location of flash radiographs[J]. High Power Laser and Particle Beams, 2012, 24(12): 2983-2986. doi: 10.3788/HPLPB20122412.2983
[14]	Zuo Yinghong, Wang Jianguo, . Application of Monte Carlo method to solving boundary value problem of differential equations[J]. High Power Laser and Particle Beams, 2012, 24(12): 3023-3027. doi: 10.3788/HPLPB20122412.3023
[15]	Xie Qin, Geng Changran, Chen Feida, Tang Xiaobin, Yao Ze'en. Calculation of cellular S values for α particle based on Monte Carlo simulation[J]. High Power Laser and Particle Beams, 2012, 24(12): 2970-2974. doi: 10.3788/HPLPB20122412.2970
[16]	Chen Feida, Tang Xiaobin, Wang Peng, Chen Da. Neutron shielding material design based on Monte Carlo simulation[J]. High Power Laser and Particle Beams, 2012, 24(12): 3006-3010. doi: 10.3788/HPLPB20122412.3006
[17]	Zheng Zheng, Wu Hongchun, Cao LiangZhi, Zheng Youqi, Zhang Hongbo, Wang Mengqi. Application of Monte Carlo and discrete ordinate coupling method to pressurized water reactor cavity radiation streaming calculation[J]. High Power Laser and Particle Beams, 2012, 24(12): 2946-2950. doi: 10.3788/HPLPB20122412.2946
[18]	fan ruyu, han feng, guo hongxia. Assessment method of gamma-dose radiation hardness of power supply system[J]. High Power Laser and Particle Beams, 2011, 23(02): 0- .
[19]	zhang huabin, zhao xiang, zhou haijing, huang kama. Probabilistic and statistical analysis of mode stirred reverberation chamber and its Monte Carlo simulation[J]. High Power Laser and Particle Beams, 2011, 23(09): 0- .
[20]	chen nan, li cheng-gang, dai wen-hua, li hong, zhou zhi. Application of Monte Carlo method to spot size measurement of X-ray sources[J]. High Power Laser and Particle Beams, 2008, 20(06): 0- .