Probabilistic estimation of extreme wind loads on low-rise structures

S. Ben Ayed; M. R. Hajj; S. A. Ragab; H. W. Tieleman

Probabilistic estimation of extreme wind loads on low-rise structures

S. Ben Ayed, M. R. Hajj, S. A. Ragab, H. W. Tieleman

Virginia Polytechnic Institute and State University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

A probabilistic analysis is applied on full scale data and numerical simulations to characterize extreme values of pressure coefficients on low-rise structures. The full scale data analyzed here, provided by the Florida Coastal Monitoring Program, are obtained from measurements made on the roof of a house in Florida during Hurricane Ivan in 2004. The analysis provides a probability of non-exceedence of any given load coefficient. This probability is discussed in the context of ASCE 7 GCp values. The same analysis is applied to data obtained from numerical simulations of the flow over a surface-mounted prism. The objective is to quantify the effects of inflow disturbances on the distribution and probability of nonexceedence of peak wind loads on the roof of the prism.

Original language	English
Title of host publication	Advances in Hurricane Engineering
Subtitle of host publication	Learning from Our Past - Proceedings of the 2012 ATC and SEI Conference on Advances in Hurricane Engineering
Pages	982-993
Number of pages	12
State	Published - 2013
Event	2012 ATC and SEI Conference on Advances in Hurricane Engineering: Learning from Our Past - Miami, FL, United States Duration: 24 Oct 2012 → 26 Oct 2012

Publication series

Name	Advances in Hurricane Engineering: Learning from Our Past - Proceedings of the 2012 ATC and SEI Conference on Advances in Hurricane Engineering

Conference

Conference	2012 ATC and SEI Conference on Advances in Hurricane Engineering: Learning from Our Past
Country/Territory	United States
City	Miami, FL
Period	24/10/12 → 26/10/12

Cite this

Ben Ayed, S., Hajj, M. R., Ragab, S. A., & Tieleman, H. W. (2013). Probabilistic estimation of extreme wind loads on low-rise structures. In Advances in Hurricane Engineering: Learning from Our Past - Proceedings of the 2012 ATC and SEI Conference on Advances in Hurricane Engineering (pp. 982-993). (Advances in Hurricane Engineering: Learning from Our Past - Proceedings of the 2012 ATC and SEI Conference on Advances in Hurricane Engineering).

Ben Ayed, S. ; Hajj, M. R. ; Ragab, S. A. et al. / Probabilistic estimation of extreme wind loads on low-rise structures. Advances in Hurricane Engineering: Learning from Our Past - Proceedings of the 2012 ATC and SEI Conference on Advances in Hurricane Engineering. 2013. pp. 982-993 (Advances in Hurricane Engineering: Learning from Our Past - Proceedings of the 2012 ATC and SEI Conference on Advances in Hurricane Engineering).

@inproceedings{d85ff4f442bf4d03a98a56a709453265,

title = "Probabilistic estimation of extreme wind loads on low-rise structures",

abstract = "A probabilistic analysis is applied on full scale data and numerical simulations to characterize extreme values of pressure coefficients on low-rise structures. The full scale data analyzed here, provided by the Florida Coastal Monitoring Program, are obtained from measurements made on the roof of a house in Florida during Hurricane Ivan in 2004. The analysis provides a probability of non-exceedence of any given load coefficient. This probability is discussed in the context of ASCE 7 GCp values. The same analysis is applied to data obtained from numerical simulations of the flow over a surface-mounted prism. The objective is to quantify the effects of inflow disturbances on the distribution and probability of nonexceedence of peak wind loads on the roof of the prism.",

author = "\{Ben Ayed\}, S. and Hajj, \{M. R.\} and Ragab, \{S. A.\} and Tieleman, \{H. W.\}",

year = "2013",

language = "English",

isbn = "9780784412626",

series = "Advances in Hurricane Engineering: Learning from Our Past - Proceedings of the 2012 ATC and SEI Conference on Advances in Hurricane Engineering",

pages = "982--993",

booktitle = "Advances in Hurricane Engineering",

note = "2012 ATC and SEI Conference on Advances in Hurricane Engineering: Learning from Our Past ; Conference date: 24-10-2012 Through 26-10-2012",

}

Ben Ayed, S, Hajj, MR, Ragab, SA & Tieleman, HW 2013, Probabilistic estimation of extreme wind loads on low-rise structures. in Advances in Hurricane Engineering: Learning from Our Past - Proceedings of the 2012 ATC and SEI Conference on Advances in Hurricane Engineering. Advances in Hurricane Engineering: Learning from Our Past - Proceedings of the 2012 ATC and SEI Conference on Advances in Hurricane Engineering, pp. 982-993, 2012 ATC and SEI Conference on Advances in Hurricane Engineering: Learning from Our Past, Miami, FL, United States, 24/10/12.

Probabilistic estimation of extreme wind loads on low-rise structures. / Ben Ayed, S.; Hajj, M. R.; Ragab, S. A. et al.
Advances in Hurricane Engineering: Learning from Our Past - Proceedings of the 2012 ATC and SEI Conference on Advances in Hurricane Engineering. 2013. p. 982-993 (Advances in Hurricane Engineering: Learning from Our Past - Proceedings of the 2012 ATC and SEI Conference on Advances in Hurricane Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Probabilistic estimation of extreme wind loads on low-rise structures

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PY - 2013

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N2 - A probabilistic analysis is applied on full scale data and numerical simulations to characterize extreme values of pressure coefficients on low-rise structures. The full scale data analyzed here, provided by the Florida Coastal Monitoring Program, are obtained from measurements made on the roof of a house in Florida during Hurricane Ivan in 2004. The analysis provides a probability of non-exceedence of any given load coefficient. This probability is discussed in the context of ASCE 7 GCp values. The same analysis is applied to data obtained from numerical simulations of the flow over a surface-mounted prism. The objective is to quantify the effects of inflow disturbances on the distribution and probability of nonexceedence of peak wind loads on the roof of the prism.

AB - A probabilistic analysis is applied on full scale data and numerical simulations to characterize extreme values of pressure coefficients on low-rise structures. The full scale data analyzed here, provided by the Florida Coastal Monitoring Program, are obtained from measurements made on the roof of a house in Florida during Hurricane Ivan in 2004. The analysis provides a probability of non-exceedence of any given load coefficient. This probability is discussed in the context of ASCE 7 GCp values. The same analysis is applied to data obtained from numerical simulations of the flow over a surface-mounted prism. The objective is to quantify the effects of inflow disturbances on the distribution and probability of nonexceedence of peak wind loads on the roof of the prism.

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Ben Ayed S, Hajj MR, Ragab SA, Tieleman HW. Probabilistic estimation of extreme wind loads on low-rise structures. In Advances in Hurricane Engineering: Learning from Our Past - Proceedings of the 2012 ATC and SEI Conference on Advances in Hurricane Engineering. 2013. p. 982-993. (Advances in Hurricane Engineering: Learning from Our Past - Proceedings of the 2012 ATC and SEI Conference on Advances in Hurricane Engineering).

Probabilistic estimation of extreme wind loads on low-rise structures

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