Skip to main content

Estimation of Peak Factors for Tall Buildings Subjected to Wind-Induced Pressures

  • Conference paper
  • First Online:
  • 1324 Accesses

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 12))

Abstract

The peak factor for non-Gaussian fluctuating pressures occurring in the flow-separated regions of a rectangular tall building has been evaluated based on three translation-based Hermite methods, basic Hermite Model (HM), Revised Hermite Model (RHM), and Modified Hermite Model (MHM), with parameters evaluated from Yang (MHM-Yang). The evaluated peak factors have been compared with observed values from the data and other Hermite-based models of peak factors available in the literature. The relative performance of the models toward evaluation of peak factors, especially in the regions of flow separation, has been assessed. It has been observed that use of data-driven Hermite-based models could provide a better and realistic estimate of peak factor, as compared to that offered by Gaussian framework.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Balaji Rao K, Anoop MB, Harikrishna P, Selvi Rajan S, Iyer NR (2014) Prediction of negative peak wind pressures on roofs of low-rise building. Wind Struct 19(6):623–647

    Google Scholar 

  2. Ding J, Chen X (2014) Assessment of methods for extreme value analysis of non-Gaussian wind effects with short-term time history samples. Eng Struct 80:75–88

    Article  Google Scholar 

  3. Gavanski E, Gurley KR, Kopp GA (2016) Uncertainties in the estimation of local peak pressures on low-rise buildings by using the Gumbel distribution fitting approach. ASCE J Struct Eng 142(11):04016106-1-14

    Google Scholar 

  4. Holmes JD, Cochran LS (2003) Probability distributions of extreme pressure coefficients. J Wind Eng Ind Aerodyn 91(7):893–901

    Article  Google Scholar 

  5. Huang MF, Lou WJ, Chan CM, Lin N, Pan X (2013) Peak distributions and peak factors of wind-induced pressure processes on tall buildings. ASCE J Struct Eng 139(12):1744–1756

    Google Scholar 

  6. Kareem A, Zhao J (1994) Analysis of non-Gaussian surge response of tension leg platforms under wind loads. ASME J Offshore Mech Arct Eng 116(3):137–144

    Article  Google Scholar 

  7. Kasperski M (2003) Specification of the design wind load based on wind tunnel experiments. J Wind Eng Ind Aerodyn 91(4):527–541

    Article  MathSciNet  Google Scholar 

  8. Kwon DK, Kareem A (2011) Peak factors for non-gaussian load effects revisited. ASCE J Struct Eng 137(12):1611–1619

    Article  Google Scholar 

  9. Ma X, Xu F, Kareem A, Chen T (2016) Estimation of surface pressure extremes: hybrid data and simulation-based approach. ASCE J Eng Mech 142(10):04016068-1-9

    Google Scholar 

  10. Peng X, Yang L, Gavanski E, Gurley K, Prevatt D (2014) A comparison of methods to estimate peak wind loads on buildings. J Wind Eng Ind Aerodyn 126:11–23

    Article  Google Scholar 

  11. Pillai SN, Tamura Y (2009) Generalized peak factor and its application to stationary random processes in wind engineering applications. J Wind Eng 6(1):1–10

    Google Scholar 

  12. Quan Y, Wang F, Gu M (2014) A method for estimation of extreme values of wind pressure on buildings based on the generalized extreme-value theory. Math Probl Eng Article ID 926253:1–22

    Article  Google Scholar 

  13. Sadek F, Simiu E (2002) Peak non-Gaussian wind effects for database-assisted low-rise building design. ASCE J Eng Mech 128(5):530–539

    Article  Google Scholar 

  14. Yang L, Gurley KR, Prevatt DO (2013) Probabilistic modeling of wind pressure on low-rise buildings. J Wind Eng Ind Aerodyn 114:18–26

    Article  Google Scholar 

Download references

Acknowledgements

This paper is being published with the kind permission of the Director, CSIR-SERC. The support rendered by staff of Wind Engineering Laboratory is gratefully acknowledged.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. Keerthana .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Keerthana, M., Harikrishna, P. (2019). Estimation of Peak Factors for Tall Buildings Subjected to Wind-Induced Pressures. In: Rao, A., Ramanjaneyulu, K. (eds) Recent Advances in Structural Engineering, Volume 2. Lecture Notes in Civil Engineering , vol 12. Springer, Singapore. https://doi.org/10.1007/978-981-13-0365-4_15

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-0365-4_15

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0364-7

  • Online ISBN: 978-981-13-0365-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics