胡偉飛(浙江大學機械工程學院設計工程研究所研究員)

胡偉飛(浙江大學機械工程學院設計工程研究所研究員)

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胡偉飛,男,博士,浙江大學機械工程學院設計工程研究所研究員、博士生導師。

基本介紹

  • 中文名:胡偉飛
  • 畢業院校:美國康奈爾大學
  • 學位/學歷:博士
  • 職業:教師
  • 專業方向:數字孿生、人工智慧、可靠性最佳化設計、風能
  • 任職院校:浙江大學機械工程學院
研究方向,個人經歷,主講課程,學術成果,期刊論文,著作,雜誌發表,榮譽獎項,

研究方向

數字孿生、人工智慧、可靠性最佳化設計、風能。

個人經歷

工作經歷
2018年09月 - 至今 浙江大學機械工程學院,百人計畫研究員
2016年02月 - 2018年09月 美國康奈爾大學,博士後導師:Dr. Sara C. Pryor,Dr. Rebecca J. Barthelmie
2017年01月 - 2017年05月 美國康奈爾大學,講師
2016年09月 - 2016年12月 美國康奈爾大學,受邀講師
2015年08月 - 2016年01月 美國卡特彼勒技術研發中心,工程師
2014年09月 - 2014年12月 美國愛荷華大學,助教
2010年08月 - 2015年08月 美國愛荷華大學,助理研究員
2008年09月 - 2010年06月 韓國漢陽大學,助理研究員
教育背景
2010年08月 - 2015年08月 美國愛荷華大學,機械工程,博士導師:Dr. K.K. Choi,Dr. Olesya Zhupanska,Dr. James Buchholz
2008年09月 - 2010年06月 韓國漢陽大學,機械工程,碩士導師:Dr. Dong-Hoon Choi
2004年09月 - 2008年06月 浙江大學,機械工程及自動化,學士
期刊和會議審稿人
SCI期刊
1.Structural and Multidisciplinary Optimization
2.Engineering Optimization
3.Engineering Structures
4.Automation in Construction
5.Wind Energy
6.Renewable Energy
7.Journal of Wind Engineering and Industrial Aerodynamics
8.Energies
9.International Journal of Green Energy
10.Geophysical Research Letters
11.Journal of Applied Meteorology and Climatology
12.Sensors
13.Remote Sensing
14.Journal of Engineering for Gas Turbines and Power-Transactions of The ASME
15.Annals of Nuclear Energy
16.Fatigue & Fracture of Engineering Materials & Structures
17.IEEE Transactions on Electromagnetic Compatibility
18.International Journal of Robotics & Automation
國際會議
1.ASME Power & Energy Conference
2.ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE)
3.ASME International Mechanical Engineering Congress & Exposition (IMECE)
4.12EAWE PhD Seminar on Wind Energy in Europe
5.2016 Global Conference on Polymer and Composite Materials
學術職務
學術學會成員
1.美國機械工程師學會American Society of Mechanical Engineers (ASME)
2. 美國航天航空學會American Institute of Aeronautics and Astronautics (AIAA)
學術組織職務
1. 美國機械工程師學會(ASME)可再生與先進能源系統委員會副主席,2017/06-2019/07.
2.美國機械工程師學會(ASME)可再生與先進能源系統委員會委員,2016/06-至今.
3.美國機械工程師學會2018年動力會議Track Co-Organizer of the Track 1-6 Renewable Energy Systems at the ASME 2018 Power and Energy Conference, Lake Buena Vista, Florida, June 26-30, 2018.
4.美國機械工程師學會2018年動力會議Session Organizer of Session 1-6-1 Advanced Technologies for Wind Energy, Session 1-6-8 Energy Storage and Grid-Connected Distributed Energy System, and Session 1-6-10 Advanced Renewable Technologies I at the ASME 2018 Power and Energy Conference, Lake Buena Vista, Florida, June 26-30, 2018.
5.美國機械工程師學會2018年動力會議Session Co-Organizer of Session 1-6-5 Marine and Hydrokinetic Energy II at the ASME 2018 Power and Energy Conference, Lake Buena Vista, Florida, June 26-30, 2018.
6.美國機械工程師學會第十二屆國際可持續能源會議Session Organizer of the “Wind Energy Systems 1 & 2” at the ASME 2018 12th International Conference on Energy Sustainability, Lake Buena Vista, Florida, June 25-28, 2018.
7.國際動力工程會議Track Co-Organizer of the Track 1-7 Renewable Energy Systems: Solar, Wind, Hydro and Geothermal for the ASME 2017 Power and Energy Conference/International Conference on Power Engineering (ICOPE), Charlotte, North Carolina, June 26-30, 2017.
8.美國機械工程師學會2017年動力會議Session Organizer of the Advanced Technologies for Wind Energy at the ASME 2017 Power Conference, Charlotte, North Carolina, June 26-30, 2017.
9.美國機械工程師學會第十一屆國際可持續能源會議Session Organizer of the Wind Energy Systems III Session at the ASME 2017 11th International Conference on Energy Sustainability, Charlotte, North Carolina, June 26-30, 2017.
10.美國機械工程師學會第十一屆國際可持續能源會議Session Organizer of the Wind Energy Systems II Session at the ASME 2017 11th International Conference on Energy Sustainability, Charlotte, North Carolina, June 26-30, 2017.
11.美國機械工程師學會第十一屆國際可持續能源會議Session Organizer of the Wind Energy Systems I Session at the ASME 2017 11th International Conference on Energy Sustainability, Charlotte, North Carolina, June 26-30, 2017.
12.美國機械工程師學會第十屆國際可持續能源會議Session Co-Chair of the Wind Farm Planning and Optimization Session at the ASME 2016 10th International Conference on Energy Sustainability, Charlotte, North Carolina, June 26-30, 2016.
13.美國機械工程師學會第十屆國際可持續能源會議Session Co-Chair of the Wind Turbine Design Session at the ASME 2016 10th International Conference on Energy Sustainability, Charlotte, North Carolina, June 26-30, 2016.

主講課程

1.風場與社區研究(MAE4120/4121 Community Wind Farm Research),本科生/研究生,4學時,康奈爾大學,2017年春季學期,講師
2.風能(MAE 4020WindPower),本科生/研究生,3學時,康奈爾大學,2016年秋季學期,受邀講師
3.工程數學方法(ME 5113:001 Mathematical Methods in Engineering),本科生,3學時,愛荷華大學,2014年秋季學期,助教

學術成果

留學工作期間獨立及合作完成7項課題,包括美國國家科學基金(NSF)項目、美國愛荷華州能源中心(IAWIND)項目、康奈爾大學Atkinson Center for a Sustainable Future(ACSF)基金項目、韓國國家研究基金(NRF)和韓國教育科技部(MEST)項目等。
科研貢獻:發展了隨機不確定力載荷下的可靠性最佳化設計理論,該理論及算法已成功套用於大型風力發電機葉片最佳化設計及其他工程領域。在Structural and Multidisciplinary Optimization期刊上所表多篇研究文章,其中一篇被可再生能源國際創新組織(Renewable Energy Global Innovations)評為2016年重點科研文章(Key Scientific Article ) 表彰在可再生和清潔能源系統設計創新性貢獻。研發出一種基於地震儀的極高靈敏度健康監測技術,該技術實時採集地表納米級微擾動信號並通過大數據分析方法檢測診斷風機運行狀況。開展了對陣風和地表擾動耦合跨學科基礎研究。2018年獲美國Blavatnik家族基金會年輕科學家獎提名,現為美國機械工程師學會可再生和先進能源系統委員會委員(曾任該委員會2017-2019年度副主席),長期與美國、歐洲、韓國等相關領域同行專家開展國際科研合作。
主持國家自然科學基金青年科學基金項目1項、國家重點研發計畫課題子任務1項、國家重點研發計畫項目課題1項(地下工程裝備數字孿生技術與系統研發),以及數字孿生相關企業支持項目2項(基於數字孿生技術的智慧型化生產線設計技術研究與開發、大型風力發電機數字孿生技術研究)。作為中方負責人,與美國康奈爾大學共同開展智慧型製造系統數字孿生聯合研究。
發表國際一流期刊SCI論文20篇(2019年8篇,其中Wind Energy期刊封面文章一篇),國際會議論文18篇,研究成果被美國機械工程師學會、美國國家科學基金會、可再生能源國際創新組織等多方報導和高度評價;2018年在國際主流出版社斯普林格(Springer)上出版英文著作1部(截至2019年12月累計下載12628次)。同時,胡偉飛研究員積極參加並協助組織和服務多個著名國際學術會議,包括ASME IDETC/CIE(美國機械工程師學會-國際設計工程技術和計算機與信息工程大會)、ASME Power & Energy(美國機械工程師學會-動力與能源大會)、NAWEA/WindTech (北美風能學院與未來風能技術國際會議)、WCSMO(世界結構與多學科最佳化設計大會)等會議,擔任18個SCI期刊的論文審稿人。目前,擔任 Wind Energy (IF=3.125)和Journal of Intelligent Manufacturing and Special Equipment期刊編委。

期刊論文

期刊論文(通訊作者*, IF =影響因子(來源:Clarivate Analytics 2018 Journal Citation Report), CN =引用數量(來源:Clarivate Analytics Web of Science))
After Joining Zhejiang University
22. L. Hu, Z. Liu*,W. Hu, Y. Wang, J. Tan, and F. Wu, 2020, 'Petri-net-based dynamic scheduling of flexible manufacturing system via deep reinforcement learning with graph convolutional network',Journal of Manufacturing Systems, Volume 55, pp. 1-14. (IF: 3.642)
21. F. Guo, Z. Liu*,W. Hu, and J. Tan, 2020, 'Gain prediction and compensation for subarray antenna with assembling errors based on improved XGBoost and transfer learning',IET Microwaves, Antennas & Propagation, published online. (IF: 2.036)
20.W. Hu*, R.J. Barthelmie, F. Letson, and S.C. Pryor*, 2019, “Seismic noise induced by wind turbine operation and wind gusts”,Seismological Research Letters, Volume 91, Number 1, pp. 427-437. (IF: 3.888)
19. N. Zhang, Z. Liu*, C. Qiu,W. Hu, and J. Tan, 2019, 'Optimizing Assembly Sequence Planning using Precedence Graph-based Assembly Subsets Prediction Method',Assembly Automation, published online. (IF: 2.056)
18. J. Cheng, W. Lu,W. Hu*, Z. Liu*, Y. Zhang, and J. Tan, 2019, “Hybrid Reliability-Based Design Optimization of Complex Structures with Random and Interval Uncertainties Based on ASS-HRA”,IEEE Access, Volume 7, pp. 87097-87109. (IF: 4.098)
17.L. Li, Z. Jiang*, M.C. Ong, andW. Hu, 2019, “Design optimization of mooring system: an application to a vessel-shaped offshore fish farm”,Engineering Structures, Volume 197, 109363. DOI: 10.1016/j.engstruct.2019.109363. (IF: 3.084)
16.W. Hu, W. Zhao, Y. Wang, Z. Liu, J. Cheng*, and J. Tan, 2019, “Design Optimization of Composite Structures Considering Tortuous Lightning Strike and Non-Proportional Multi-Axial Fatigue Damage”,Engineering Optimization, published online. (IF: 1.809)
15. F. Letson*, R.J. Barthelmie,W. Hu, L.D. Brown, and S.C. Pryor, 2019, “Wind gust quantification using seismic measurements”,Natural Hazards, Volume 99, Issue 1, pp. 355-377. (IF: 2.319)
14. F. Letson*, R.J. Barthelmie,W. Hu, S.C. Pryor, 2019, “Characterizing wind gusts in complex terrain”,Atmospheric Chemistry and Physics, Volume 19, Issue 6, pp. 3797-3819 . (IF: 5.668, 中科院 JCR Top)
13.W. Hu*, R.J. Barthelmie, F. Letson, and S.C. Pryor*, 2019, “A new seismic-based monitoring approach for wind turbines,”Wind Energy, Volume 22, Issue 4, pp.473-486. DOI: 10.1002/we.2300. (IF: 3.125)期刊封面文章
Before Joining Zhejiang University
12.W. Hu, K.K. Choi*, and H. Cho, 2016, “Reliability-based design optimization of wind turbine blades for fatigue life under dynamic wind load uncertainty,”Structural and Multidisciplinary Optimization, Vol. 54, Issue 4, pp. 953-970.(IF: 3.925, CN: 21)該文章被可再生能源國際創新組織(Renewable Energy Global Innovations)評為2016年重點科研文章(Key Scientific Article)表彰在可再生和清潔能源系統設計創新性貢獻[Link]
11.W. Hu, K.K. Choi*, O. Zhupanska, and J. Buchholz, 2016, “Integrating variable wind load, aerodynamic, and structural analyses towards accurate fatigue life prediction in composite wind turbine blades,”Structural and Multidisciplinary Optimization, Vol. 53, Issue 3, pp. 375–394. (IF: 3.925, CN: 19)
10.W. Hu, D. Park, and D.H. Choi*, 2013, “Structural optimization procedure of a composite wind turbine blade for reducing both material cost and blade weight,”Engineering Optimization, Vol. 45, Issue 12, pp. 1469-1487. (IF: 1.809, CN: 15)
9.W. Hu,I. Han, S.C. Park, and D.H. Choi*, 2012, “Multi-objective structural optimization of a HAWT composite blade based on ultimate limit state analysis,”Journal of Mechanical Science and Technology, Vol. 26, Issue 1, pp. 129–135. (IF: 1.221, CN: 22)
8.W. Hu*,S.C. Pryor, F. Letson, J. Tytell, and R.J. Barthelmie, 2017, “Investigation of gust-seismic relationships and applications to gust detection,”Journal of Geophysical Research: Atmospheres, Vol. 122, pp. 140-151, DOI: 10.1002/2016JD025858.該文章被期刊主編選為亮點文章介紹Editors’ Highlight Paper[Link]. (IF: 3.633, CN: 7, 中科院 JCR Top)
7.W. Hu*, S.C. Pryor, F. Letson, and R.J. Barthelmie, 2017, “Use of seismic analyses for the wind energy industry,”Journal of Solar Energy Engineering-Transactions of The ASME, Vol. 139, Issue 5, pp. 051007-051007-8, DOI: 10.1115/1.4037218. (IF: 1.190, CN: 2)
6.W. Hu*, F. Letson, R.J. Barthelmie, and S.C. Pryor, 2018, “Wind gust characterization at wind turbine relevant heights in moderately complex terrain,”Journal of Applied Meteorology and Climatology, Vol. 57, No. 7, pp. 1459-1476. (IF: 2.364, CN: 1)
5. Z. Jiang,W. Hu, W. Dong, Z. Gao, and Z. Ren*, 2017, “Structural reliability analysis of wind turbines: a review,”Energies, Vol. 10, Issue 12, pp. 1-25. (IF: 2.707, CN: 5)
4. P.A. Kulkarni*,W. Hu, A.S. Dhoble, and P.M. Padole, 2017, “Statistical wind prediction and fatigue analysis for horizontal-axis wind turbine composite material blade under dynamic loads,”Advances in Mechanical Engineering, Vol. 9, No. 9, pp. 1-26, DOI: 10.1177/1687814017724088.該文章被期刊評選為Article of the Month – September. (IF: 1.024, CN: 3)
3. Y. Wang* andW. Hu*, 2017, “Investigation of the effects of receptors on the lightning strike protection of wind turbine blades,”IEEE Transactions on Electromagnetic Compatibility, Vol. 59, No. 4, pp. 1180-1187, DOI: 10.1109/TEMC.2016.2647260 (IF: 2.274, CN: 1)
2. Z. Fan*,W. Hu, D.H. Choi, and J. Xu, 2011, “Study on the parametric optimal design of a different-speed mixer,”Advanced Materials Research, Vol. 221, pp. 104–110.
1. F. Letson*, S.C. Pryor, R.J. Barthelmie, andW. Hu, 2018, “Observed gust wind speeds in the coterminous United States, and their relationship to local and regional drivers,”Journal of Wind Engineering and Industrial Aerodynamics, Vol. 173, pp. 199-209. (IF: 3.010, CN: 4)
國際會議論文Peer-Reviewed Conference Papers
22.W. Hu, Y. He, Z. Liu, and J. Tan, 2020, “A hybrid model for short-term wind speed prediction based on ensemble empirical mode decomposition and BO-LSTM neural networks,”ASME Power 2020 Conference, Disneyland Hotel, Anaheim, California, USA, August 2-6, 2020. (Abstract accepted)
21.W. Hu, W. Chen, X. Wang, Y. Wang, Z. Liu, and J. Tan, 2020, “Wind turbine blade coating fatigue induced by raindrop impact,”ASME Power 2020 Conference, Disneyland Hotel, Anaheim, California, USA, August 2-6, 2020. (Abstract accepted)
20. A.S. Verma, S.G.P. Castro, Z. Jiang,W. Hu, and J.J.E. Teuwen, 2020, “Leading edge erosion of wind turbine blades: Effects of blade surface curvature on rain droplet impingement kinematics,”EAWE's Science of Making Torque from Wind (TORQUE 2020) Conference, Delft, The Netherlands, May 27-29, 2020.
19.W. Hu, X. Wang, Y. Wang, Z. Liu, J. Tan, F. Letson, S. C. Pryor, and R. J. Barthelmie, 2019, “A computational model of wind turbine blade erosion induced by raindrop impact,”NAWEA/WindTech 2019 Conference, University of Massachusetts Amherst, October 14-16, 2019.
18.W. Hu, W. Zhao, Y. Wang, Z. Liu, and J. Tan, 2019, “Reliability Analysis of Wind Turbine Blades Considering Lightning Strike,”NAWEA/WindTech 2019 Conference, University of Massachusetts Amherst, October 14-16, 2019.
17. R.J. Barthelmie et al.,W. Hu, and S.C. Pryor, 2019, “Wind turbine blade leading-edge erosion: laboratory experiments and image processing under an engaged learning experience,”NAWEA/WindTech 2019 Conference, University of Massachusetts Amherst, October 14-16, 2019.
16.W. Hu, Z. Jiang, and Y. Wang, 2018, “Reliability analysis of offshore wind turbines using copula,” ASME 2018 Power and Energy Conference,美國佛羅里達州Lake Buena Vista, June 24-28, 2018. (8pp paper published in proceedings)
15. F. W. Letson, R.J. Barthelmie,W. Hu, and S.C. Pryor, 2018, “Wind gusts in complex terrain: Analyses of data from Perdigao,” EGU2018-9850 European Geophysical Society,奧地利維也納,April 8-13, 2018.
14. S.C. Pryor, R.J. Barthelmie, L.D. Brown,W. Hu, and F.W. Letson, 2017, “How can use of seismometers advance the wind energy industry?” Wind Energy Science Conference 2017,丹麥科技大學 Lyngby, June 26-29, 2017.
13.W. Hu, S.C. Pryor, F. Letson, and R.J. Barthelmie, 2017, “Use of seismic analyses for the wind Energy industry,” Proceedings of the ASME 2017 Power Conference Joint With ICOPE-17,美國北卡羅來納州夏洛特, June 26-30, 2017. (8pp paper published in proceedings)
12. F. Letson,W. Hu, R.J. Barthelmie, J. Tytell, and S.C. Pryor, 2017, “Wind gust quantification using seismic measurements,”Proceedings of the ASME 2017 11th International Conference on Energy Sustainability,美國北卡羅來納州夏洛特, June 26-30, 2017. (8pp paper published in proceedings)
11.W. Huand Y. Wang, 2017, “Optimization design of composite wind turbine blades integrating lightning strike analysis,”Proceedings of the ASME 2017 11th International Conference on Energy Sustainability,美國北卡羅來納州夏洛特, June 26-30, 2017. (9pp paper published in proceedings)
10. S.C. Pryor,W. Hu, F. Letson, and R.J. Barthelmie, 2017, “A new approach to wind turbine condition monitoring,”AWEA WindPower Conference,美國加州阿納海姆, May 22-25, 2017. 4pp.
9. F. Letson, S.C. Pryor,W. Hu, and R.J. Barthelmie, 2017, “Wind gust quantification across the United States using seismic and sonic anemometer observations,”AWEA WindPower Conference,美國加州阿納海姆, May 22-25, 2017. 4pp.
8.W. Hu, O. Zhupanska, K.K. Choi, and J. Buchholz, 2015, “Fatigue life prediction in composite wind turbine blades: effects of variable wind load and non-proportional multi-axial stress states,”American Society for Composites 30th Technical Conference,美國密西根州東蘭辛, September 28-30, 2015. (14pp paper published in proceedings)
7.W. Hu, K.K. Choi, H. Cho, N.J. Gaul, and O. Zhupanska, 2015, “Reliability-based design optimization of wind turbine blades for fatigue life under wind load uncertainty,”11th World Congress on Structural and Multidisciplinary Optimisation,澳大利亞悉尼, June 7-12, 2015. (9pp paper published in proceedings)
6.W. Hu,K.K. Choi, O. Zhupanska, and J. Buchholz, 2014, “A new fatigue analysis procedure for composite wind turbine blades,”AIAA SciTech2014 Conference/32nd ASME Wind Energy Symposium,美國馬里蘭州國家港口, January 13-17, 2014. (17pp paper published in proceedings)
5.W. Hu, K.K. Choi, N.J. Gaul, H. Cho, and O. Zhupanska, 2012, “Reliability analysis of wind turbine blades for fatigue life under wind load uncertainty,”14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference,美國印第安納州印第安納波利斯, September 17-19, 2012. (15pp paper published in proceedings)
4.W. Huand K.K. Choi, 2012, “Reliability analysis of a 5-MW reference wind turbine blade considering stochastic wind loading,”7China-Japan-Korea Joint Symposium on Optimization of Structural and Mechanical Systems,中國黃山,June 18-21, 2012. (8pp paper published in proceedings)
3.W. Huand D.H. Choi, 2010, “Optimization design of a horizontal axis wind turbine blade based on extreme operating analysis and fatigue life Prediction,”International Symposium on Low Carbon & Renewable Energy Technology (ISLCT),韓國濟州島, November 15-18, 2010.
2.W. Huand D.H. Choi, 2010, “Optimization of a HAWT composite blade based on integrated structural analysis,”6China-Japan-Korea Joint Symposium on Optimization of Structural and Mechanical Systems,日本京都, June 22-25, 2010.(6pp paper published in proceedings)
1.W. Hu, S.J. Yoon, S.C. Park, and D.H. Choi, 2009, “Multi-objective structural optimization of composite wind turbine blade,”Korean Society of Mechanical Engineers (KSME) 2009 Fall Annual Conference,韓國平昌, South Korea, November 4-6, 2009. (6pp paper published in proceedings)

著作

英文專著(1本)
1.胡偉飛,高級風力發電機技術 Advanced Wind Turbine Technology,斯普林格國際出版社,瑞士,2018年6月出版
專著章節(2章)
1.W. Hu, 2019, “Artificial intelligence in wind energy,” In: Renewable Energy Book Series – Wind Energy, ASME Press, Ed. K. R. Rao.
2.W. Hu, Z. Liu*, and J. Tan, 2019, “Thermodynamic analysis of wind energy systems,” In: Wind Solar Hybrid Renewable Energy System, IntechOpen, Ed. Kenneth Eloghene Okedu. ISBN 978-1-78984-591-4.

雜誌發表

1.S.C. Pryor,W.Hu, F. Letson, and R.J. Barthelmie, 2016, “Applications of seismic analyses to the wind energy industry,” Energy-Tech Magazine (ASME Power Conference’s official media sponsor), November 2016 issue, 8pp.

榮譽獎項

雜誌發表獲美國機械工程師學會Power&Energy2016會議優秀論文獎.
美國Blavatnik年輕科學家獎(Blavatnik Regional Awards for Young Scientists)康奈爾大學提名, 2018年。
胡偉飛,K.K. Choi, Olesya Zhupanska, James H.J. Buchholz, 美國國家自然科學基金 NSF Iowa EPSCoR項目會議Poster 一等獎, 第一作者, 2014年。

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