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

The identification and forecasting of chaos for natural circulation flow instabilities under rolling motion

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

Citation:

The identification and forecasting of chaos for natural circulation flow instabilities under rolling motion

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

(PLEASE TRANSLATE TO ENGLISH

BY GOOGLE TRANSLATE IF NEEDED.)

  • Chaos identification and forecasting of the irregular complex flow oscillations in a two-phase natural circulation system under the rolling motion are performed. The irregular complex flow oscillation has chaotic characteristics by calculating the geometric invariants such as the correlation dimension, Kolmogorov entropy and the largest Lyapunov exponent. But the reliability of calculation result is liable to be influenced by data length and the interference of measurement noise, false judgment results may exist in the direct method. To avoid misjudgment for chaos flow oscillation, both the geometric invariants and chaos identification need to be calculated by surrogate-data method. The chaos is identified by the iterated-amplitude adjusted Fourier transform method. Chaotic forecasting for the irregular complex flow oscillation is carried out by adding weight one-rank local region method. By surrogate-data method, we can confirm that the irregular complex flow oscillation is chaotic oscillation from the deterministic system. Comparisons between the prediction results and experimental data indicate that the chaos forecasting based on adding weight one-rank local region method is an effective way for two-phase natural circulation flow instabilities, and a way of dynamical forecast to monitor flow oscillation is presented.
    • 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 Staring Foundation for the Returned Overseas Chinese Scholars, Ministry of Education of China (Grant No. 2012-1707), and the Heilongjiang Province Postdoctoral Sustentation Fund, China (Grant No. LBH-Q10131).
    [1]

    L J H, Murali K, Sinha S, Leung H, Aziz-Alaoui M A 2008 Phys. Lett. A 372 3234

    [2]

    L J H, Chen G R 2006 Int. J. Bifur. Chaos 16 775

    [3]

    Deng W H, L J H 2007 Phys. Lett. A 369 438

    [4]

    L J H 2008 Adv. in Mech. 38 713 (in Chinese) [吕金虎 2008 力学进展 38 713]

    [5]

    L J H, Chen G R 2005 IEEE Trans. Auto. Contr. 50 841

    [6]

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

    [7]

    Zhou J, Lu J A, L J H 2006 IEEE Trans. Automat. Contr. 51 652

    [8]

    Sachin B 2013 IEEE Trans. Circuits Syst. I 60 199

    [9]

    Chen Y, L J H, Lin Z L Automatica (in press)

    [10]

    Wu C Y, Wang S B, Pan C 1996 Nucl. Eng. Des. 162 223

    [11]

    Chang C J, Richard T, Lahey J 1997 Nucl. Eng. Des. 167 307

    [12]

    Kuang B, Chen H, Hu Z H, Lu L L, Xu J J 2005 J. Eng. Thermoph. 26 88 (in Chinese) [匡波, 陈宏, 胡志华, 陆柳柳, 徐济鋆 2005工程热 26 88]

    [13]

    Sun B, Zhou Y L 2006 J. Harb. Inst. Tech. 38 1963 (in Chinese) [孙斌, 周云龙 2006 哈尔滨工业大学学报 38 1963]

    [14]

    Xiao N, Jin N D 2007 Acta Phys. Sin. 56 5149 (in Chinese) [肖楠, 金宁德 2007 56 5149]

    [15]

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

    [16]

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

    [17]

    Tan S C, Pang F G 2005 Nuclear Power Engineering 26 140 (in Chinese) [谭思超, 庞凤阁 2005核动力工程 26 140]

    [18]

    Tan S C, Gao P Z, Su G H 2008 Atom. Energy. Sci. Tech. 42 1007 (in Chinese) [谭思超, 高璞珍, 苏光辉 2008原子能科学技术 42 1007]

    [19]

    Zhang W C, Tan S C, Gao P Z, Zhang H, Zhang H Y 2012 Atom. Energy 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]

    [20]

    Theiler J, Euhank S, Longtin A, Caldrikian B, Farmer J D 1992 Physica D: Nonlinear Phenomena 58 77

    [21]

    Liu Y Z, Wen X S, Hu N Q 2001 Acta Phys. Sin. 50 1241 (in Chinese) [刘耀宗, 温熙森, 胡茑庆 2001 50 1241]

    [22]

    Wu Y D, Xie H B 2007 Acta Phys. Sin. 56 6294 (in Chinese) [吴延东, 谢洪波 2007 56 6294]

    [23]

    Ma W C, Jin N D, Gao Z K 2012 Acta Phys. Sin. 61 170510 (in Chinese) [马文聪, 金宁德, 高忠科 2012 61 170510]

    [24]

    L J H, Zhang S C 2002 Control Theory and Application 19 767 (in Chinese) [吕金虎, 张锁春 2002 控制理论与应用 19 767]

    [25]

    Chen Y F, L J H, Zhou C B 2001 Chin. J. Rock Mech. Engin. 20 671 (in Chinese) [陈益峰, 吕金虎, 周创兵 2001 岩石力学与工程学报 20 671]

    [26]

    Yang Y F, Ren X M, Qin W Y, Wu Y F, Zhi X Z 2008 Acta Phys. Sin. 57 6139 (in Chinese) [杨永锋, 任兴民, 秦卫阳, 吴亚锋, 支希哲 2008 57 6139]

    [27]

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

    [28]

    Takens F 1981 Lecture Notes in Math. 898 361

    [29]

    L J H, Lu J A, Chen S H 2002 Chaotic Time Series Analysis and Application (Wuhan: Wuhan University Press) pp59, 60, 102 (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59, 60, 102 页]

    [30]

    Grassberger P, Procaccia I 1983 Physica D 9 189

    [31]

    Wang H Y, Lu S 2006 Nonlinear Time Scries Analysis and its Application (Beijing: Science Press) p30 (in Chinese) [王海燕, 卢山 2006非线性时间序列分析及其应用 (北京: 科学出版社) 第30页]

  • [1]

    L J H, Murali K, Sinha S, Leung H, Aziz-Alaoui M A 2008 Phys. Lett. A 372 3234

    [2]

    L J H, Chen G R 2006 Int. J. Bifur. Chaos 16 775

    [3]

    Deng W H, L J H 2007 Phys. Lett. A 369 438

    [4]

    L J H 2008 Adv. in Mech. 38 713 (in Chinese) [吕金虎 2008 力学进展 38 713]

    [5]

    L J H, Chen G R 2005 IEEE Trans. Auto. Contr. 50 841

    [6]

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

    [7]

    Zhou J, Lu J A, L J H 2006 IEEE Trans. Automat. Contr. 51 652

    [8]

    Sachin B 2013 IEEE Trans. Circuits Syst. I 60 199

    [9]

    Chen Y, L J H, Lin Z L Automatica (in press)

    [10]

    Wu C Y, Wang S B, Pan C 1996 Nucl. Eng. Des. 162 223

    [11]

    Chang C J, Richard T, Lahey J 1997 Nucl. Eng. Des. 167 307

    [12]

    Kuang B, Chen H, Hu Z H, Lu L L, Xu J J 2005 J. Eng. Thermoph. 26 88 (in Chinese) [匡波, 陈宏, 胡志华, 陆柳柳, 徐济鋆 2005工程热 26 88]

    [13]

    Sun B, Zhou Y L 2006 J. Harb. Inst. Tech. 38 1963 (in Chinese) [孙斌, 周云龙 2006 哈尔滨工业大学学报 38 1963]

    [14]

    Xiao N, Jin N D 2007 Acta Phys. Sin. 56 5149 (in Chinese) [肖楠, 金宁德 2007 56 5149]

    [15]

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

    [16]

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

    [17]

    Tan S C, Pang F G 2005 Nuclear Power Engineering 26 140 (in Chinese) [谭思超, 庞凤阁 2005核动力工程 26 140]

    [18]

    Tan S C, Gao P Z, Su G H 2008 Atom. Energy. Sci. Tech. 42 1007 (in Chinese) [谭思超, 高璞珍, 苏光辉 2008原子能科学技术 42 1007]

    [19]

    Zhang W C, Tan S C, Gao P Z, Zhang H, Zhang H Y 2012 Atom. Energy 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]

    [20]

    Theiler J, Euhank S, Longtin A, Caldrikian B, Farmer J D 1992 Physica D: Nonlinear Phenomena 58 77

    [21]

    Liu Y Z, Wen X S, Hu N Q 2001 Acta Phys. Sin. 50 1241 (in Chinese) [刘耀宗, 温熙森, 胡茑庆 2001 50 1241]

    [22]

    Wu Y D, Xie H B 2007 Acta Phys. Sin. 56 6294 (in Chinese) [吴延东, 谢洪波 2007 56 6294]

    [23]

    Ma W C, Jin N D, Gao Z K 2012 Acta Phys. Sin. 61 170510 (in Chinese) [马文聪, 金宁德, 高忠科 2012 61 170510]

    [24]

    L J H, Zhang S C 2002 Control Theory and Application 19 767 (in Chinese) [吕金虎, 张锁春 2002 控制理论与应用 19 767]

    [25]

    Chen Y F, L J H, Zhou C B 2001 Chin. J. Rock Mech. Engin. 20 671 (in Chinese) [陈益峰, 吕金虎, 周创兵 2001 岩石力学与工程学报 20 671]

    [26]

    Yang Y F, Ren X M, Qin W Y, Wu Y F, Zhi X Z 2008 Acta Phys. Sin. 57 6139 (in Chinese) [杨永锋, 任兴民, 秦卫阳, 吴亚锋, 支希哲 2008 57 6139]

    [27]

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

    [28]

    Takens F 1981 Lecture Notes in Math. 898 361

    [29]

    L J H, Lu J A, Chen S H 2002 Chaotic Time Series Analysis and Application (Wuhan: Wuhan University Press) pp59, 60, 102 (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59, 60, 102 页]

    [30]

    Grassberger P, Procaccia I 1983 Physica D 9 189

    [31]

    Wang H Y, Lu S 2006 Nonlinear Time Scries Analysis and its Application (Beijing: Science Press) p30 (in Chinese) [王海燕, 卢山 2006非线性时间序列分析及其应用 (北京: 科学出版社) 第30页]

  • [1] Zhang Wen-Chao, Tan Si-Chao, Gao Pu-Zhen. Chaotic forecasting of natural circulation flow instabilities under rolling motion based on lyapunov exponents. Acta Physica Sinica, 2013, 62(6): 060502. doi: 10.7498/aps.62.060502
    [2] 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
    [3] Zhang Chun-Tao, Ma Qian-Li, Peng Hong. Chaotic time series prediction based on information entropy optimized parameters of phase space reconstruction. Acta Physica Sinica, 2010, 59(11): 7623-7629. doi: 10.7498/aps.59.7623
    [4] 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
    [5] 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
    [6] 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
    [7] 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
    [8] 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
    [9] 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
    [10] 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
    [11] 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
    [12] 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
    [13] 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
    [14] 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
    [15] 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
    [16] Zhang Sen, Xiao Xian-Ci. A new method of global prediction for chaotic time series based on continued fractions. Acta Physica Sinica, 2005, 54(11): 5062-5068. doi: 10.7498/aps.54.5062
    [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:  6192
  • PDF Downloads:  580
  • Cited By: 0
Publishing process
  • Received Date:  01 March 2013
  • Accepted Date:  02 April 2013
  • Published Online:  05 July 2013

/

返回文章
返回
Baidu
map