Wind and Structures

  • 제32권3호
  • /
  • Pages.193-204
  • /
  • 2021
  • /
  • 1226-6116(pISSN)
  • /
  • 1598-6225(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Evaluation of full-order method for extreme wind effect estimation considering directionality

  • Luo, Ying (School of Civil Engineering, Changsha University of Science & Technology) ;
  • Huang, Guoqing (School of Civil Engineering, Chongqing University) ;
  • Han, Yan (School of Civil Engineering, Changsha University of Science & Technology) ;
  • Cai, C.S. (Department of Civil and Environmental Engineering, Louisiana State University)
  • 투고 : 2020.05.17
  • 심사 : 2021.02.10
  • 발행 : 2021.03.25
⟨ 이전 논문 다음 논문 ⟩

초록

The estimation of the extreme wind load (effect) under a mean recurrence interval (MRI) is an important task in the wind-resistant design for the structure. It can be predicted by either first-order method or full-order method, depending on the accuracy and complexity requirement. Although the first-order method with the consideration of wind directionality has been proposed, less work has been done on the full-order method, especially with the wind directionality. In this study, the full-order method considering the wind directionality is proposed based on multivariate joint probability distribution. Meanwhile, considering two wind directions, the difference of the corresponding results based on the first-order method and full-order method is analyzed. Finally, based on the measured wind speed data, the discrepancy between these two methods is investigated. Results show that the difference between two approaches is not obvious under larger MRIs while the underestimation caused by the first-order method can be larger than 15% under smaller MRIs. Overall, the first-order method is sufficient to estimate the extreme wind load (effect).

키워드

참고문헌

  1. ASCE/SEI 7-16 (2017), Minimum Design Loads and Associated Criteria for Buildings and Other Structures, American Society of Civil Engineers; Reston, U.S.A.
  2. Chen, X. and Huang, G. (2010), "Estimation of probabilistic extreme wind load effects: combination of aerodynamic and wind climate data", J. Eng. Mech., 136(6), 747-760. https://doi.org/10.1061/(ASCE)EM.1943-7889.0000118.
  3. Cook, N.J. (1982), "Calibration of the quasi-static and peak-factor approaches to the assessment of wind loads against the method of Cook and Mayne", J. Wind Eng. Ind. Aerod., 10(3), 315-341. https://doi.org/10.1016/0167-6105(82)90005-8.
  4. Cook, N.J. and Mayne, J.R. (1979), "A novel working approach to the assessment of wind loads for equivalent static design", J. Ind. Aerod., 4, 149-164. https://doi.org/10.1016/0167-6105(79)90043-6.
  5. Cook, N.J. and Mayne, J.R. (1980), "A refined working approach to the assessment of wind loads for equivalent static design", J. Ind. Aerod., 6, 125-137. https://doi.org/10.1016/0167-6105(80)90026-4.
  6. Davenport, A.G. (1977), "The prediction of risk under wind loading", In Proc. 2nd Int. Conf. on Structural Safety and Reliability, Munich, Germany, September.
  7. Goyal, P.K. and Datta. T.K. (2013), "Effect of wind directionality on the vulnerability of rural houses due to cyclonic wind", Nat. Hazards Rev., 14(4), 258-267. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000103.
  8. Grigoriu, M. (2009), "Algorithms for generating large sets of synthetic directional wind speed data for hurricane, thunderstorm, and synoptic winds", NIST Technical Note 1626, US Department of Commerce, National Institute of Standards and Technology.
  9. Gumley, S.J. and Wood, C.J. (1982), "A discussion of extreme wind-loading probabilities", J. Ind. Aerod., 10(1), 31-45. https://doi.org/10.1016/0167-6105(82)90052-6.
  10. Habte, F., Chowdhury, A.G., Yeo, D.H. and Simiu, E. (2015), "Wind directionality factors for nonhurricane and hurricane-prone regions", J. Struct. Eng., 141(8), 04014208.1-04014208.9. https://doi.org/10.1061/(ASCE)ST.1943-541X.0001180.
  11. Harris, R.I. (1982), "An improved method for the prediction of extreme values of wind effects on simple buildings and structures", J. Ind. Aerod., 9(3), 343-379. https://doi.org/10.1016/0167-6105(82)90023-X.
  12. Harris, R.I. (2005), "A new direct version of the Cook-Mayne method for wind pressure probabilities in temperate storms", J. Ind. Aerod., 93(7), 581-600. https://doi.org/10.1016/j.jweia.2005.05.004.
  13. Ho, T.C.E., Surry, D., Morrish, D. and Kopp, G.A. (2005), "The UWO contribution to the NIST aerodynamic database for wind loads on low buildings: Part 1. Archiving format and basic aerodynamic data", J. Wind Eng. Ind. Aerod., 93(1), 1-30. https://doi.org/10.1016/j.jweia.2004.07.006.
  14. Holmes, J.D. (2020), "Comparison of probabilistic methods for the effects of wind direction on structural response". Struct. Saf., 87, 101983. https://doi.org/10.1016/j.strusafe.2020.101983.
  15. Huang, G. and Chen, X. (2007), "Wind load effects and equivalent static wind loads of tall buildings based on synchronous pressure measurements", Eng. Struct., 29(10), 2641-2653. https://doi.org/10.1016/j.engstruct.2007.01.011.
  16. Huang, Z. and Rosowsky, D.V. (2000), "Analysis of hurricane directionality effects using event-based simulation", Wind Struct., 3(3), 177-191. https://doi.org/10.12989/was.2000.3.3.177.
  17. Isyumov, N., Ho, E. and Case, P. (2014), "Influence of wind directionality on wind loads and responses", J. Wind Eng. Ind. Aerod., 133, 169-180. https://doi.org/10.1016/j.jweia.2014.06.006.
  18. Laboy-Rodriguez, S.T., Gurley, K.R. and Masters, F.J. (2014), "Revisiting the directionality factor in ASCE 7", J. Wind Eng. Ind. Aerod., 133(4), 225-233. https://doi.org/10.1016/j.jweia.2014.06.011.
  19. Peng, X., Yang, L., Gavanski, E., Gurley, K. and Prevatt, D. (2014), "A comparison of methods to estimate peak wind loads on buildings", J. Wind Eng. Ind. Aerod., 126, 11-23. https://doi.org/10.1016/j.jweia.2013.12.013.
  20. Quan, Y., Wang J. and Gu M. (2017), "A joint probability distribution model of directional extreme wind speeds based on the t-Copula function", Wind Struct., 25(3), 261-282. https://doi.org/10.12989/was.2017.25.3.261.
  21. Simiu, E. and Filliben, J.J. (2005), "Wind tunnel testing and the sector-by-sector approach to wind directionality effects", J. Struct. Eng., 131(7), 1143-1145. https://doi.org/10.1061/(ASCE)0733-9445(2005)131:7(1143).
  22. Simiu, E. and Scanlan, R.H. (1996), Wind Effects On Structures: Fundamentals and Application to Design. John Wiley & Sons, New York, NY, U.S.A.
  23. Zhang, X. (2015) "Estimation of probabilistic extreme wind load effect with consideration of directionality and uncertainty", Ph.D. Dissertation., Texas Tech University, Lubbock, Texas, U.S.A.
  24. Zhang, X. and Chen, X. (2015), "Assessing probabilistic wind load effects via a multivariate extreme wind speed model: A unified framework to consider directionality and uncertainty", J. Ind. Aerod., 147, 30-42. https://doi.org/10.1016/j.jweia.2015.09.002.
  25. Zhang, X. and Chen, X. (2017), "Refined process upcrossing rate approach for estimating probabilistic wind load effects with consideration of directionality", J. Struct. Eng., 143(1), 04016148. https://doi.org/10.1061/(ASCE)ST.1943-541X.0001625.