Search

Article

x

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

Chaotic forecasting of natural circulation flow instabilities under rolling motion based on lyapunov exponents

Zhang Wen-Chao Tan Si-Chao Gao Pu-Zhen

Citation:

Chaotic forecasting of natural circulation flow instabilities under rolling motion based on lyapunov exponents

Zhang Wen-Chao, Tan Si-Chao, Gao Pu-Zhen
PDF
Get Citation

(PLEASE TRANSLATE TO ENGLISH

BY GOOGLE TRANSLATE IF NEEDED.)

  • The chaotic forecasting of irregular complex flow oscillation of natural circulation flow instabilities under rolling motion condition based on the largest Lyapunov exponents is performed. The correlation dimension, Kolmogorov entropy and the largest Lyapunov exponent are determined based on the phase space reconstruction theory of experimental data. On the premise that the irregular complex flow oscillation is confirmed to own chaos characteristic, the chaotic forecasting of the irregular complex flow oscillation is carried out by calculating the largest Lyapunov exponent. A comparisons between the prediction results and experimental data indicates that the chaotic forecasting based on the largest Lyapunov exponent is an effective way of producing those two-phase natural circulation flow instabilities. Meanwhile, the maximum predictable scale of chaotic flow instability is determined and a way of dynamic forecasting to monitor flow oscillation is presented. The method employed here provides a new method of studying the complex two-phase flow instabilities.
    • Funds: Project supported by the National Natural Science Foundation of China (Grant No. 50806014), the Fundamental Research Funds for the Central Universities of Ministry of Education of China (Grant No. HEUCFZ1008), the Scientific Research Foundation of Heilongjiang Province for Returned Chinese Scholars, China (Grant No. LC2011C18), and the Heilongjiang Province Postdoctoral Sustentation Fund, China (Grant No. LBH-Q10131).
    [1]

    Yu S, Lu J, Yu X, Chen G 2012 IEEE Trans. Circ. Syst. I 59 1015

    [2]

    Gao Y, Li L X, Peng H P, Yang Y X, Zhang X H 2008 Acta Phys. Sin. 57 1444 (in Chinese) [高洋, 李丽香, 彭海朋, 杨义先, 张小红 2008 57 1444]

    [3]

    Lu J, Chen G 2005 IEEE Trans. Auto. Contr. 50 841

    [4]

    Lu J, Yu X, Chen G, Cheng D 2004 IEEE Trans. Circ. Syst. I 51 787

    [5]

    Zhang S, Xiao X C 2005 Acta Phys. Sin. 54 5062 (in Chinese) [张森, 肖先赐 2005 54 5062]

    [6]

    Zhang Y, Guan W 2009 Acta Phys. Sin. 58 756 (in Chinese)[张勇, 关伟 2009 58 756]

    [7]

    Lu S, Wang H Y 2006 Acta Phys. Sin. 55 572 (in Chinese) [卢山, 王海燕 2006 55 572]

    [8]

    Yan H, Wei P, Xiao X C 2007 Acta Phys. Sin. 56 5111 (in Chinese) [闫华, 魏平, 肖先赐 2007 56 5111]

    [9]

    Gao G Y, Jiang G P 2012 Acta Phys. Sin. 61 040506 (in Chinese) [高光勇, 蒋国平 2012 61 040506]

    [10]

    Song T, Li H 2012 Acta Phys. Sin. 61 080506 (in Chinese) [宋彤, 李菡 2012 61 080506]

    [11]

    Zhang C T, Ma Q L, Peng H 2010 Acta Phys. Sin. 59 7623 (in Chinese) [张春涛, 马千里, 彭宏 2010 59 7623]

    [12]

    Wei X Z, Ren Y M, Shen Y, Yuan Y X 2008 J. Harbin Inst. Tech. 40 25 (in Chinese) [魏希柱, 任月明, 沈毅, 袁一星 2008 哈尔滨工业大学学报 40 25]

    [13]

    Chen S Y, Wang W 2004 China Civil Eng. J. 37 96 (in Chinese) [陈淑燕, 王炜 2004 土木工程学报 37 96]

    [14]

    L J H, Zhan Y, Lu J A 2000 Proc. CSEE 20 81 (in Chinese) [吕金虎, 占勇, 陆君安 2000 中国电机工程学报 20 81]

    [15]

    Dang X C, Hu G T, Hao Z J 2011 J. Suzhou Univ. Sci. Tech. 28 44 (Natural Science) (in Chinese)[党小超, 胡广涛, 郝占军 2011 苏州科技学院学报(自然科学版) 28 44]

    [16]

    Cai G L, Tan Z M, Zhou W H, Tu W T 2007 Acta Phys. Sin. 56 6230 (in Chinese) [蔡国梁, 谭振梅, 周维怀, 涂文桃 2007 56 6230]

    [17]

    Tao C H, Lu J A, L J H 2002 Acta Phys. Sin. 51 1497 (in Chinese) [陶朝海,陆君安,吕金虎 2002 51 1497]

    [18]

    Wang P, Lu J, Ogorzalek M J 2012 Neurocomput. 78 155

    [19]

    Guo J B, Hu J F 2008 Acta Phys. Sin. 57 1477 (in Chinese) [郭静波, 胡进峰 2008 57 1477]

    [20]

    Zhang Z M, Tao Z J, Li Y 2009 Acta Phys. Sin. 58 6818 (in Chinese) [张正明,陶志杰,李亚2009 58 6818]

    [21]

    Xin B G, Chen T, Liu Y Q 2011 Acta Phys. Sin. 60 048901 (in Chinese) [辛宝贵,陈通,刘艳芹 2011 60 048901]

    [22]

    Zhang Y J, Su G H, Yang X B, Qiu S Z 2009 Nucl. Eng. Des. 239 1294

    [23]

    Tan S, Su G H, Gao P 2009 Ann. Nucl. Energy 36 103

    [24]

    Yun G, Qiu S Z, Su G H, Jia D N 2008 Ann. Nucl. Energy 35 1598

    [25]

    Yan B H, Yu L 2012 Prog. Nucl. Energy 54 123

    [26]

    Zhang W C, Tan S C, Gao P Z, Zhang H, Zhang H Y 2012 Atom. En. Sci. Tech. 46 705 (in Chinese) [张文超, 谭思超, 高璞珍, 张虹, 张红岩 2012 原子能科学技术 46 705]

    [27]

    Guanghui S, Dounan J, Fukuda K, Yujun G 2002 Nucl. Eng. Des. 215 187

    [28]

    Tan S, Su G H, Gao P 2009 Appl. Therm. Eng. 29 3160

    [29]

    Lv J H, Lu J A, Chen S H 2002 Chaotic Time Series Analysis and Application (Wuhan: Wuhan University Press) p57 (in Chinese) [吕金虎, 陆君安, 陈士华 2002 混沌时间序列分析及其应用 (武汉: 武汉大学出版) 第57页]

    [30]

    Takens F 1981 Lecture Notes in Math. 898 361

    [31]

    Zhang B H, Liu X H, Wan J P, Liu P, Cheng S J 2004 Pow. Sys. Tech. 28 32 (in Chinese) [张步涵, 刘小华, 万建平, 刘沛, 程时杰 2004 电网技术 28 32]

  • [1]

    Yu S, Lu J, Yu X, Chen G 2012 IEEE Trans. Circ. Syst. I 59 1015

    [2]

    Gao Y, Li L X, Peng H P, Yang Y X, Zhang X H 2008 Acta Phys. Sin. 57 1444 (in Chinese) [高洋, 李丽香, 彭海朋, 杨义先, 张小红 2008 57 1444]

    [3]

    Lu J, Chen G 2005 IEEE Trans. Auto. Contr. 50 841

    [4]

    Lu J, Yu X, Chen G, Cheng D 2004 IEEE Trans. Circ. Syst. I 51 787

    [5]

    Zhang S, Xiao X C 2005 Acta Phys. Sin. 54 5062 (in Chinese) [张森, 肖先赐 2005 54 5062]

    [6]

    Zhang Y, Guan W 2009 Acta Phys. Sin. 58 756 (in Chinese)[张勇, 关伟 2009 58 756]

    [7]

    Lu S, Wang H Y 2006 Acta Phys. Sin. 55 572 (in Chinese) [卢山, 王海燕 2006 55 572]

    [8]

    Yan H, Wei P, Xiao X C 2007 Acta Phys. Sin. 56 5111 (in Chinese) [闫华, 魏平, 肖先赐 2007 56 5111]

    [9]

    Gao G Y, Jiang G P 2012 Acta Phys. Sin. 61 040506 (in Chinese) [高光勇, 蒋国平 2012 61 040506]

    [10]

    Song T, Li H 2012 Acta Phys. Sin. 61 080506 (in Chinese) [宋彤, 李菡 2012 61 080506]

    [11]

    Zhang C T, Ma Q L, Peng H 2010 Acta Phys. Sin. 59 7623 (in Chinese) [张春涛, 马千里, 彭宏 2010 59 7623]

    [12]

    Wei X Z, Ren Y M, Shen Y, Yuan Y X 2008 J. Harbin Inst. Tech. 40 25 (in Chinese) [魏希柱, 任月明, 沈毅, 袁一星 2008 哈尔滨工业大学学报 40 25]

    [13]

    Chen S Y, Wang W 2004 China Civil Eng. J. 37 96 (in Chinese) [陈淑燕, 王炜 2004 土木工程学报 37 96]

    [14]

    L J H, Zhan Y, Lu J A 2000 Proc. CSEE 20 81 (in Chinese) [吕金虎, 占勇, 陆君安 2000 中国电机工程学报 20 81]

    [15]

    Dang X C, Hu G T, Hao Z J 2011 J. Suzhou Univ. Sci. Tech. 28 44 (Natural Science) (in Chinese)[党小超, 胡广涛, 郝占军 2011 苏州科技学院学报(自然科学版) 28 44]

    [16]

    Cai G L, Tan Z M, Zhou W H, Tu W T 2007 Acta Phys. Sin. 56 6230 (in Chinese) [蔡国梁, 谭振梅, 周维怀, 涂文桃 2007 56 6230]

    [17]

    Tao C H, Lu J A, L J H 2002 Acta Phys. Sin. 51 1497 (in Chinese) [陶朝海,陆君安,吕金虎 2002 51 1497]

    [18]

    Wang P, Lu J, Ogorzalek M J 2012 Neurocomput. 78 155

    [19]

    Guo J B, Hu J F 2008 Acta Phys. Sin. 57 1477 (in Chinese) [郭静波, 胡进峰 2008 57 1477]

    [20]

    Zhang Z M, Tao Z J, Li Y 2009 Acta Phys. Sin. 58 6818 (in Chinese) [张正明,陶志杰,李亚2009 58 6818]

    [21]

    Xin B G, Chen T, Liu Y Q 2011 Acta Phys. Sin. 60 048901 (in Chinese) [辛宝贵,陈通,刘艳芹 2011 60 048901]

    [22]

    Zhang Y J, Su G H, Yang X B, Qiu S Z 2009 Nucl. Eng. Des. 239 1294

    [23]

    Tan S, Su G H, Gao P 2009 Ann. Nucl. Energy 36 103

    [24]

    Yun G, Qiu S Z, Su G H, Jia D N 2008 Ann. Nucl. Energy 35 1598

    [25]

    Yan B H, Yu L 2012 Prog. Nucl. Energy 54 123

    [26]

    Zhang W C, Tan S C, Gao P Z, Zhang H, Zhang H Y 2012 Atom. En. Sci. Tech. 46 705 (in Chinese) [张文超, 谭思超, 高璞珍, 张虹, 张红岩 2012 原子能科学技术 46 705]

    [27]

    Guanghui S, Dounan J, Fukuda K, Yujun G 2002 Nucl. Eng. Des. 215 187

    [28]

    Tan S, Su G H, Gao P 2009 Appl. Therm. Eng. 29 3160

    [29]

    Lv J H, Lu J A, Chen S H 2002 Chaotic Time Series Analysis and Application (Wuhan: Wuhan University Press) p57 (in Chinese) [吕金虎, 陆君安, 陈士华 2002 混沌时间序列分析及其应用 (武汉: 武汉大学出版) 第57页]

    [30]

    Takens F 1981 Lecture Notes in Math. 898 361

    [31]

    Zhang B H, Liu X H, Wan J P, Liu P, Cheng S J 2004 Pow. Sys. Tech. 28 32 (in Chinese) [张步涵, 刘小华, 万建平, 刘沛, 程时杰 2004 电网技术 28 32]

  • [1] Zhang Wen-Chao, Tan Si-Chao, Gao Pu-Zhen. The identification and forecasting of chaos for natural circulation flow instabilities under rolling motion. Acta Physica Sinica, 2013, 62(14): 144706. doi: 10.7498/aps.62.144706
    [2] Yao Tian-Liang, Liu Hai-Feng, Xu Jian-Liang, Li Wei-Feng. The largest Lyapunov exponent and the turbulent fluctuation of the time series from air turbulent jets. Acta Physica Sinica, 2012, 61(23): 234704. doi: 10.7498/aps.61.234704
    [3] Yao Tian-Liang, Liu Hai-Feng, Xu Jian-Liang, Li Wei-Feng. Noise-level estimation of noisy chaotic time series based on the invariant of the largest Lyapunov exponent. Acta Physica Sinica, 2012, 61(6): 060503. doi: 10.7498/aps.61.060503
    [4] Li Jun, Zhang You-Peng. Single-step and multiple-step prediction of chaotic time series using Gaussian process model. Acta Physica Sinica, 2011, 60(7): 070513. doi: 10.7498/aps.60.070513
    [5] Feng Jian, Liu Jin-Hai, Zhang Hua-Guang. Real-time novelty detector of chaotic time series based on retina neural network. Acta Physica Sinica, 2010, 59(7): 4472-4479. doi: 10.7498/aps.59.4472
    [6] Ma Qian-Li, Zheng Qi-Lun, Peng Hong, Qin Jiang-Wei. Chaotic time series prediction based on fuzzy boundary modular neural networks. Acta Physica Sinica, 2009, 58(3): 1410-1419. doi: 10.7498/aps.58.1410
    [7] Zhang Jun-Feng, Hu Shou-Song. Chaotic time series prediction based on multi-kernel learning support vector regression. Acta Physica Sinica, 2008, 57(5): 2708-2713. doi: 10.7498/aps.57.2708
    [8] Liu Fu-Cai, Zhang Yan-Liu, Chen Chao. Prediction of chaotic time series based on robust fuzzy clustering. Acta Physica Sinica, 2008, 57(5): 2784-2790. doi: 10.7498/aps.57.2784
    [9] Zhang Jun-Feng, Hu Shou-Song. Chaotic time series prediction based on RBF neural networks with a new clustering algorithm. Acta Physica Sinica, 2007, 56(2): 713-719. doi: 10.7498/aps.56.713
    [10] Prediction of chaotic time series based on selective support vector machine ensemble. Acta Physica Sinica, 2007, 56(12): 6820-6827. doi: 10.7498/aps.56.6820
    [11] He Tao, Zhou Zheng-Ou. Prediction of chaotic time series based on fractal self-affinity. Acta Physica Sinica, 2007, 56(2): 693-700. doi: 10.7498/aps.56.693
    [12] Yu Zhen-Hua, Cai Yuan-Li. Prediction of chaotic time-series based on online wavelet support vector regression. Acta Physica Sinica, 2006, 55(4): 1659-1665. doi: 10.7498/aps.55.1659
    [13] Liu Fu-Cai, Sun Li-Ping, Liang Xiao-Ming. Prediction of chaotic time series based on hierarchical fuzzy-clustering. Acta Physica Sinica, 2006, 55(7): 3302-3306. doi: 10.7498/aps.55.3302
    [14] Ye Mei-Ying, Wang Xiao-Dong, Zhang Hao-Ran. Chaotic time series forecasting using online least squares support vector machine regression. Acta Physica Sinica, 2005, 54(6): 2568-2573. doi: 10.7498/aps.54.2568
    [15] Li Jun, Liu Jun-Hua. On the prediction of chaotic time series using a new generalized radial basis function neural networks. Acta Physica Sinica, 2005, 54(10): 4569-4577. doi: 10.7498/aps.54.4569
    [16] Cui Wan-Zhao, Zhu Chang-Chun, Bao Wen-Xing, Liu Jun-Hua. Prediction of the chaotic time series using support vector machines for fuzzy rule-based modeling. Acta Physica Sinica, 2005, 54(7): 3009-3018. doi: 10.7498/aps.54.3009
    [17] Cui Wan-Zhao, Zhu Chang-Chun, Bao Wen-Xing, Liu Jun-Hua. Prediction of the chaotic time series using support vector machines. Acta Physica Sinica, 2004, 53(10): 3303-3310. doi: 10.7498/aps.53.3303
    [18] Wang Hong-Wei, Ma Guang-Fu. Prediction of chaotic time series based on fuzzy model. Acta Physica Sinica, 2004, 53(10): 3293-3297. doi: 10.7498/aps.53.3293
    [19] Zhang Jia-Shu, Li Heng-Chao, Xiao Xian-Ci. A DCT domain quadratic predictor for real-time prediction of continuous chaotic signals. Acta Physica Sinica, 2004, 53(3): 710-716. doi: 10.7498/aps.53.710
    [20] Tan Wen, Wang Yao-Nan, Zhou Shao-Wu, Liu Zu-Run. Prediction of the chaotic time series using neuro-fuzzy networks. Acta Physica Sinica, 2003, 52(4): 795-801. doi: 10.7498/aps.52.795
Metrics
  • Abstract views:  6005
  • PDF Downloads:  820
  • Cited By: 0
Publishing process
  • Received Date:  14 November 2012
  • Accepted Date:  21 December 2012
  • Published Online:  05 March 2013

/

返回文章
返回
Baidu
map