Machine learning-based prediction of crosswind vibrations of rectangular cylinders
暂无分享,去创建一个
Yiqing Xiao | Gang Hu | Lixiao Li | Chao Li | Pengfei Lin | K.T. Tse | K.C.S. Kwok | Lixiao Li | K. Kwok | G. Hu | Chao Li | Yiqing Xiao | Pengfei Lin | K. Tse
[1] E. de Langre,et al. Coupling of Structure and Wake Oscillators in Vortex-Induced Vibrations , 2004 .
[2] Hui Hu,et al. Passive jet control of flow around a circular cylinder , 2015 .
[3] M. Kubát. An Introduction to Machine Learning , 2017, Springer International Publishing.
[4] Wenli Chen,et al. Investigation and control of vortex-induced vibration of twin box girders , 2013 .
[5] Qiusheng Li,et al. Prediction of wind-induced pressures on a large gymnasium roof using artificial neural networks , 2007 .
[6] Enrico Zio,et al. Two Machine Learning Approaches for Short-Term Wind Speed Time-Series Prediction , 2016, IEEE Transactions on Neural Networks and Learning Systems.
[7] Mitchell A. Wawzonek. Aeroelastic behavior of square section prisms in uniform flow , 1979 .
[8] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[9] Xiao Yi-qing. CFD NUMERICAL SIMULATION OF FLOW-INDUCED VIBRATION WITH DIFFERENT CROSS-SECTION CYLINDER , 2009 .
[10] J. Concato,et al. A simulation study of the number of events per variable in logistic regression analysis. , 1996, Journal of clinical epidemiology.
[11] Tetsuro Tamura,et al. The role of separated shear layers in unstable oscillations of a rectangular cylinder around a resonant velocity , 2002 .
[12] John David Smith,et al. An experimental study of the aeroelastic instability of rectangular cylinders , 1962 .
[13] J. Y. Fu,et al. Prediction of wind loads on a large flat roof using fuzzy neural networks , 2006 .
[14] Billie F. Spencer,et al. Automated modal identification using principal component and cluster analysis: Application to a long‐span cable‐stayed bridge , 2019, Structural Control and Health Monitoring.
[15] Pascal Hémon,et al. ON THE AEROELASTIC BEHAVIOUR OF RECTANGULAR CYLINDERS IN CROSS-FLOW , 2002 .
[16] Yuequan Bao,et al. Machine learning paradigm for structural health monitoring , 2020, Structural Health Monitoring.
[17] Peter E. Hart,et al. Nearest neighbor pattern classification , 1967, IEEE Trans. Inf. Theory.
[18] Zhengqing Chen,et al. Coupling investigation on Vortex-induced vibration and Galloping of rectangular cylinders , 2014 .
[19] Hui Li,et al. Data-driven modeling of vortex-induced vibration of a long-span suspension bridge using decision tree learning and support vector regression , 2018 .
[20] J. D. Holmes,et al. Wind Loading of Structures , 2001 .
[21] Martin Krzywinski,et al. Points of Significance: Classification and regression trees , 2017, Nature Methods.
[22] Gianni Bartoli,et al. Experimental investigation on VIV-galloping interaction of a rectangular 3:2 cylinder , 2015 .
[23] J. Kutz,et al. Compressive Sensing Based Machine Learning Strategy For Characterizing The Flow Around A Cylinder With Limited Pressure Measurements , 2013 .
[24] Gianni Bartoli,et al. Aeroelastic stability of two long-span arch structures: A collaborative experience in two wind tunnel facilities , 2016 .
[25] Thomas V. Santosham. Force measurements on bluff cylinders and aeroelastic galloping of a rectangular cylinder , 1966 .
[26] Hui Li,et al. A novel long short-term memory neural-network-based self-excited force model of limit cycle oscillations of nonlinear flutter for various aerodynamic configurations , 2020 .
[27] Mahdi Hasanipanah,et al. Prediction of air-overpressure caused by mine blasting using a new hybrid PSO–SVR model , 2016, Engineering with Computers.
[28] Turgut Sarpkaya,et al. A critical review of the intrinsic nature of vortex-induced vibrations , 2004 .
[29] Abinet Tesfaye Eseye,et al. Short-term photovoltaic solar power forecasting using a hybrid Wavelet-PSO-SVM model based on SCADA and Meteorological information , 2018 .
[30] Gianni Bartoli,et al. VIV–galloping instability of rectangular cylinders: Review and new experiments , 2014 .
[31] Yoram Reich,et al. Evaluating machine learning models for engineering problems , 1999, Artif. Intell. Eng..
[32] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[33] Riccardo Poli,et al. Particle swarm optimization , 1995, Swarm Intelligence.
[34] Hua-Ping Wan,et al. A probabilistic approach for short-term prediction of wind gust speed using ensemble learning , 2020 .
[35] Claudio Mannini,et al. Interference of vortex-induced vibration and transverse galloping for a rectangular cylinder , 2016 .
[36] Yukio Tamura,et al. Wake-Oscillator Model of Vortex-Induced Oscillation of Circular Cylinder , 1981 .
[37] Ahsan Kareem,et al. Modeling hysteretic nonlinear behavior of bridge aerodynamics via cellular automata nested neural network , 2011 .
[38] Mahdi Hasanipanah,et al. Application of PSO to develop a powerful equation for prediction of flyrock due to blasting , 2017, Neural Computing and Applications.
[39] P. Hémon. LARGE GALLOPING OSCILLATIONS OF A SQUARE SECTION CYLINDER IN WIND TUNNEL , 2012 .
[40] Zhu Xue,et al. Prediction of wind loads on high-rise building using a BP neural network combined with POD , 2017 .
[41] Leo Breiman,et al. Classification and Regression Trees , 1984 .
[42] Jinling Liang,et al. Multistability of complex-valued neural networks with distributed delays , 2016, Neural Computing and Applications.
[43] C. Feng. The measurement of vortex induced effects in flow past stationary and oscillating circular and D-section cylinders , 1968 .
[44] Hui Hu,et al. An experimental study on the unsteady vortices and turbulent flow structures around twin-box-girder bridge deck models with different gap ratios , 2014 .
[45] Zhi-Hua Zhou,et al. Ensemble Methods: Foundations and Algorithms , 2012 .
[46] Yasuharu Nakamura,et al. The effects of turbulence on the mean flow past two-dimensional rectangular cylinders , 1984, Journal of Fluid Mechanics.
[47] Gang Hu,et al. Machine learning strategy for predicting flutter performance of streamlined box girders , 2021 .
[48] M. Clerc,et al. The swarm and the queen: towards a deterministic and adaptive particle swarm optimization , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[49] Jinping Ou,et al. Numerical study on the suppression of the vortex-induced vibration of an elastically mounted cylinder by a traveling wave wall , 2014 .
[50] Robert H. Scanlan,et al. AIR FOIL AND BRIDGE DECK FLUTTER DERIVATIVES , 1971 .
[51] Niu Hua-wei. RESEARCH ON COUPLING OF THE VORTEX-EXCITED RESONANCE AND GALLOPING OF THE BLUFF BODY WITH LARGE SLENDERNESS RATIO , 2012 .
[52] Tommaso Massai. On the Interaction between vortex-induced vibrations and galloping in rectangular cylinders of low side ratio , 2015 .
[53] A. Laneville. Effects of turbulence on wind induced vibrations of bluff cylinders , 1973 .
[54] G. V. Parkinson,et al. Experiments on flow-induced vibration of a square-section cylinder , 1987 .
[55] Hui Li,et al. Cluster Analysis of Winds and Wind-induced Vibrations on a Long-span Bridge based on Long-term Field Monitoring Data , 2017 .
[56] C. Mannini. Incorporation of turbulence in a nonlinear wake-oscillator model for the prediction of unsteady galloping response , 2020 .
[57] M. A. Wawzonek,et al. Some considerations of combined effects of galloping and vortex resonance , 1981 .
[58] Gianni Bartoli,et al. Interference of vortex-induced vibration and galloping: experiments and mathematical modelling , 2017 .
[59] Hui Hu,et al. An experimental investigation on vortex induced vibration of a flexible inclined cable under a shear flow , 2015 .
[60] J Elith,et al. A working guide to boosted regression trees. , 2008, The Journal of animal ecology.
[61] G. V. Parkinson,et al. THE SQUARE PRISM AS AN AEROELASTIC NON-LINEAR OSCILLATOR , 1964 .
[62] Wenli Chen,et al. An ultrasonic transmission thickness measurement system for study of water rivulets characteristics of stay cables suffering from wind–rain-induced vibration , 2010 .
[63] L. D. Zhu,et al. Nonlinear mathematical model of unsteady galloping force on a rectangular 2:1 cylinder , 2017 .
[64] Alireza Bokaian,et al. Effects of Vortex‐Resonance on Nearby Galloping Instability , 1985 .
[65] Dacheng Tao,et al. Deep learning-based investigation of wind pressures on tall building under interference effects , 2020 .
[66] G. V. Parkinson,et al. On the Aeroelastic Instability of Bluff Cylinders , 1961 .
[67] T. Miyata,et al. PRESSURE DISTRIBUTION MEASUREMENTS FOR WIND INDUCED VIBRATIONS OF BOX GIRDER BRIDGES , 1984 .
[68] Biswajeet Pradhan,et al. Modification of landslide susceptibility mapping using optimized PSO-ANN technique , 2018, Engineering with Computers.
[69] Robert M. Corless,et al. A model of the combined effects of vortex-induced oscillation and galloping , 1988 .
[70] Hui Li,et al. Prediction model of velocity field around circular cylinder over various Reynolds numbers by fusion convolutional neural networks based on pressure on the cylinder , 2018 .
[71] J. Ou,et al. Suppression of vortex-induced vibration of a circular cylinder using suction-based flow control , 2013 .
[72] Adel M. Alimi,et al. PSO-based analysis of Echo State Network parameters for time series forecasting , 2017, Appl. Soft Comput..
[73] K. Washizu,et al. Aeroelastic instability of rectangular cylinders in a heaving mode , 1978 .
[74] Gang Hu,et al. Predicting wind pressures around circular cylinders using machine learning techniques , 2019, ArXiv.
[75] G. V. Parkinson,et al. Phenomena and modelling of flow-induced vibrations of bluff bodies , 1989 .
[76] A. Marra,et al. Unsteady galloping of a rectangular cylinder in turbulent flow , 2018 .