Recent trends in building constructions in Libya are
more toward tall (high-rise) building projects. As a consequence, a
better estimation of the lateral loading in the design process is
becoming the focal of a safe and cost effective building industry. Byin-
large, Libya is not considered a potential earthquake prone zone,
making wind is the dominant design lateral loads. Current design
practice in the country estimates wind speeds on a mere random
bases by considering certain factor of safety to the chosen wind
speed. Therefore, a need for a more accurate estimation of wind
speeds in Libya was the motivation behind this study. Records of
wind speed data were collected from 22 metrological stations in
Libya, and were statistically analysed. The analysis of more than four
decades of wind speed records suggests that the country can be
divided into four zones of distinct wind speeds. A computer “survey"
program was manipulated to draw design wind speeds contour map
for the state of Libya.
The paper presents the statistical analysis of Libya-s recorded
wind speed data and proposes design wind speed values for a 50-year
return period that covers the entire country.
[1] Bunglale S.Turanath, " Structural Analysis and Design of Tall Buildings
", McGRAW, 1988.
[2] P. J. Vickery and D. Wadhera, " Wind Speed Maps for the Caribbean for
Application with the Wind Load Provisions ASCE-7 " , Appliied
Research Associates, 7-2875. 2003.
[3] N. Lakshmanan, S. Gomathinayagam, P. Harikrishna, A. Abraham & S.
Chitra Ganapathi, " Basic Wind Speed Map of India with Long-term
Hourly Wind Data ", Current Science, Vol.96, No.7, 10 April 2009.
[4] Dr.Moahmmed.Almabrouk.Almahdi, "Libyan Habitat Geography ",
Ghariuness University publication, Libya, 1988 ( In Arabic ).
[5] Dr.Salah.Bashier.Mossa, " Natural Climate ", Modern Academic Office,
Alexandria, 2005 ( In Arabic ).
[6] World Meteorological Organization, " Compendium of Lecture Notes
for Training Class IV Meteorological Personnel ", WMO - No. 266.
[7] John D. Holmes, " Wind Loading of Structures ", Second Edition, Taylor
& Francis, 2007.
[8] Bilal M. Ayyub & Richard H. McCuen, " Probability, Statistics and
Reliability for Engineers and Scientists ", Second Edition, Chapman &
Hall/CRC, 2003.
[9] Dorvlo, A.S.S. " Estimating Wind Speed Distribution ", Energy
Conversion and Management 43, 231-2318, 2006.
[10] Leiblein, J., " A New Method of Analysing Extreme Value Data ",
NACA TN 3053, 1954.
[11] Gracia, A., Torres, J.L., Prieto, E., & DeFrancisco, A., " Fitting Wind
Speed Distribution ", Solar Energy 2, 139-144, 1998.
[12] Muruthy, D.N.P., Xie, M., and Jiang, R. , " Weibull Models ", John
Wiley & Sons, New Jersey, 2004.
[1] Bunglale S.Turanath, " Structural Analysis and Design of Tall Buildings
", McGRAW, 1988.
[2] P. J. Vickery and D. Wadhera, " Wind Speed Maps for the Caribbean for
Application with the Wind Load Provisions ASCE-7 " , Appliied
Research Associates, 7-2875. 2003.
[3] N. Lakshmanan, S. Gomathinayagam, P. Harikrishna, A. Abraham & S.
Chitra Ganapathi, " Basic Wind Speed Map of India with Long-term
Hourly Wind Data ", Current Science, Vol.96, No.7, 10 April 2009.
[4] Dr.Moahmmed.Almabrouk.Almahdi, "Libyan Habitat Geography ",
Ghariuness University publication, Libya, 1988 ( In Arabic ).
[5] Dr.Salah.Bashier.Mossa, " Natural Climate ", Modern Academic Office,
Alexandria, 2005 ( In Arabic ).
[6] World Meteorological Organization, " Compendium of Lecture Notes
for Training Class IV Meteorological Personnel ", WMO - No. 266.
[7] John D. Holmes, " Wind Loading of Structures ", Second Edition, Taylor
& Francis, 2007.
[8] Bilal M. Ayyub & Richard H. McCuen, " Probability, Statistics and
Reliability for Engineers and Scientists ", Second Edition, Chapman &
Hall/CRC, 2003.
[9] Dorvlo, A.S.S. " Estimating Wind Speed Distribution ", Energy
Conversion and Management 43, 231-2318, 2006.
[10] Leiblein, J., " A New Method of Analysing Extreme Value Data ",
NACA TN 3053, 1954.
[11] Gracia, A., Torres, J.L., Prieto, E., & DeFrancisco, A., " Fitting Wind
Speed Distribution ", Solar Energy 2, 139-144, 1998.
[12] Muruthy, D.N.P., Xie, M., and Jiang, R. , " Weibull Models ", John
Wiley & Sons, New Jersey, 2004.
@article{"International Journal of Architectural, Civil and Construction Sciences:52694", author = "Mohammed B. Abohedma and Milad M. Alshebani", title = "Wind Load Characteristics in Libya", abstract = "Recent trends in building constructions in Libya are
more toward tall (high-rise) building projects. As a consequence, a
better estimation of the lateral loading in the design process is
becoming the focal of a safe and cost effective building industry. Byin-
large, Libya is not considered a potential earthquake prone zone,
making wind is the dominant design lateral loads. Current design
practice in the country estimates wind speeds on a mere random
bases by considering certain factor of safety to the chosen wind
speed. Therefore, a need for a more accurate estimation of wind
speeds in Libya was the motivation behind this study. Records of
wind speed data were collected from 22 metrological stations in
Libya, and were statistically analysed. The analysis of more than four
decades of wind speed records suggests that the country can be
divided into four zones of distinct wind speeds. A computer “survey"
program was manipulated to draw design wind speeds contour map
for the state of Libya.
The paper presents the statistical analysis of Libya-s recorded
wind speed data and proposes design wind speed values for a 50-year
return period that covers the entire country.", keywords = "Ccontour map, return period, wind speed, and zone.", volume = "4", number = "3", pages = "65-4", }