8 research outputs found
Development of an updated fundamental basic wind speed map for SANS 10160-3
This paper evaluates the need for updating the strong wind climate stipulations of South Africa
for the design of structures in accordance with SANS 10160-3:2010, as based on the latest
information presented by Kruger et al (2013a; 2013b). The primary objective is to provide the
geographic distribution of the characteristic gust wind speed by means of the fundamental
value of the basic wind speed, stipulated as vb,0 in SANS 10160-3. A reassessment of previously
published information is made to incorporate additional wind speed modelling results and to
investigate identified anomalies. The format of presentation, based on local municipal districts,
is subsequently motivated, assessed and implemented. In order to provide for situations
requiring the consideration of the dynamic effects of wind loading, similar information on
characteristic hourly mean wind speed is provided. It is concluded that the presentation of wind
speed on a district basis provides an effective balance between the spatial resolution of the
available information and its use in operational standardised design.http://www.journals.co.za/ej/ejour_civileng.htmlam2018Geography, Geoinformatics and Meteorolog
Development of an updated fundamental basic wind speed map for SANS 10160-3
This paper evaluates the need for updating the strong wind climate stipulations of South Africa
for the design of structures in accordance with SANS 10160-3:2010, as based on the latest
information presented by Kruger et al (2013a; 2013b). The primary objective is to provide the
geographic distribution of the characteristic gust wind speed by means of the fundamental
value of the basic wind speed, stipulated as vb,0 in SANS 10160-3. A reassessment of previously
published information is made to incorporate additional wind speed modelling results and to
investigate identified anomalies. The format of presentation, based on local municipal districts,
is subsequently motivated, assessed and implemented. In order to provide for situations
requiring the consideration of the dynamic effects of wind loading, similar information on
characteristic hourly mean wind speed is provided. It is concluded that the presentation of wind
speed on a district basis provides an effective balance between the spatial resolution of the
available information and its use in operational standardised design.http://www.journals.co.za/ej/ejour_civileng.htmlam2018Geography, Geoinformatics and Meteorolog
Review of climatic input data for wind load design in accordance with SANS 10160-3
With the publication of Part 3 Wind Actions of the South African Loading Code SANS 10160:2010,
several issues concerning adjustments from the reference standard Eurocode EN 1991-1-4:2004
could not be resolved due to lack of sufficient updated background information on South
African conditions. The need for updating the map for the free field wind speed is related also
to the improved representation of the mixed and complex strong wind climate of the country.
Furthermore, strong wind probability models are used for the reliability assessment and
calibration of wind design procedures. Updating of the reliability provisions for the revised wind
loading process was a further need identified at the time.
This paper provides a review of the historical development of the representation of the
free field wind, used as input to design wind loading procedures for South Africa. The review
considers: (i) the historical representations of the geographic distribution of free field wind,
(ii) the climatic influences considered, and (iii) the probabilistic bases for the stipulated wind
speed for the reliability provisions for design wind loads. On this basis, the background and
motivation are provided for updating SANS 10160-3:2010.http://www.journals.co.za/ej/ejour_civileng.htmlam2018Geography, Geoinformatics and Meteorolog
Clustering of extreme winds in the mixed climate of South Africa
A substantial part of South Africa is subject to more than one strong wind source. The effect of that on extreme winds is that higher quantiles are usually estimated with a mixed strong wind climate estimation method, compared to the traditional Gumbel approach based on a single population. The differences in the estimated quantiles between the two methods depend on the values of the Gumbel distribution parameters for the different strong wind mechanisms involved. Cluster analysis of the distribution parameters provides a characterization of the effect of the relative differences in their values, and therefore the dominance of the different strong wind mechanisms. For gusts, cold fronts tend to dominate over the coastal and high-lying areas, while other mechanisms, especially thunderstorms, are dominant over the lower-lying areas in the interior. For the hourly mean wind speeds cold fronts are dominant in the south-west, south and east of the country. On the West Coast the ridging of the Atlantic Ocean high-pressure system dominate in the south, while the presence of a deep trough or coastal low pressure system is the main strong wind mechanism in the north. In the central interior cold fronts tend to share their influence almost equally with other synoptic-scale mechanisms