Revised Procedure for Estimating Along-Wind Response

1980 ◽  
Vol 106 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Emil Simiu
Keyword(s):  
Wind Response

Modeling the Atmospheric Boundary Layer Wind Response to Mesoscale Sea Surface Temperature Perturbations

2014 ◽  
Vol 142 (11) ◽  
pp. 4284-4307 ◽  
Author(s):  
Natalie Perlin ◽  
Simon P. de Szoeke ◽  
Dudley B. Chelton ◽  
Roger M. Samelson ◽  
Eric D. Skyllingstad ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Wind Speed ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Coupling Coefficient ◽  
Eddy Viscosity ◽  
Sea Surface ◽  
Coupling Coefficients ◽  
Wind Response ◽  
Speed Response

Abstract The wind speed response to mesoscale SST variability is investigated over the Agulhas Return Current region of the Southern Ocean using the Weather Research and Forecasting (WRF) Model and the U.S. Navy Coupled Ocean–Atmosphere Mesoscale Prediction System (COAMPS) atmospheric model. The SST-induced wind response is assessed from eight simulations with different subgrid-scale vertical mixing parameterizations, validated using Quick Scatterometer (QuikSCAT) winds and satellite-based sea surface temperature (SST) observations on 0.25° grids. The satellite data produce a coupling coefficient of sU = 0.42 m s−1 °C−1 for wind to mesoscale SST perturbations. The eight model configurations produce coupling coefficients varying from 0.31 to 0.56 m s−1 °C−1. Most closely matching QuikSCAT are a WRF simulation with the Grenier–Bretherton–McCaa (GBM) boundary layer mixing scheme (sU = 0.40 m s−1 °C−1), and a COAMPS simulation with a form of Mellor–Yamada parameterization (sU = 0.38 m s−1 °C−1). Model rankings based on coupling coefficients for wind stress, or for curl and divergence of vector winds and wind stress, are similar to that based on sU. In all simulations, the atmospheric potential temperature response to local SST variations decreases gradually with height throughout the boundary layer (0–1.5 km). In contrast, the wind speed response to local SST perturbations decreases rapidly with height to near zero at 150–300 m. The simulated wind speed coupling coefficient is found to correlate well with the height-averaged turbulent eddy viscosity coefficient. The details of the vertical structure of the eddy viscosity depend on both the absolute magnitude of local SST perturbations, and the orientation of the surface wind to the SST gradient.

Lift or Across-Wind Response of Tapered Stacks

1972 ◽  
Vol 98 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Barry J. Vickery ◽  
Arthur W. Clark
Keyword(s):  
Wind Response

scholarly journals Investigations of dynamic characteristics of a tall industrial chimney due to light wind and solar radiation

2013 ◽  
Vol 12 (2) ◽  
pp. 087-094 ◽  
Author(s):  
Peter Breuer ◽  
Tadeusz Chmielewski ◽  
Piotr Górski ◽  
Eduard Konopka ◽  
Lesław Tarczyński
Keyword(s):  
Solar Radiation ◽  
Dynamic Characteristics ◽  
Field Tests ◽  
Power Station ◽  
Temperature Variations ◽  
Response Characteristics ◽  
Modal Damping ◽  
Wind Response ◽  
Satellite Signal ◽  
Air Temperature Variations

The present paper describes field tests conducted on the 300 m tall industrial chimney, located in the power station of Bełchatów (Poland), where the GPS rover receivers were installed at three various levels. The objectives of these GPS tests were to investigate the deformed vertical profile of this chimney, and its dynamic characteristics, i.e. the first natural frequency and the modal damping ratios. The results for the satellite signal receptions, the synopsis of recorded baselines and their ambiguity solutions, drifts of the chimney due to solar radiation and air temperature variations and dynamic wind response characteristics are presented.

Interrelation of Architectural Form and Wind Climate on the Wind Performance of Supertall Towers

2019 ◽  
Author(s):  
Austin F. Devin ◽  
Aditya P. Kulkarni ◽  
Bradley S. Young ◽  
William F. Baker
Keyword(s):  
Bluff Body ◽  
Dynamic Properties ◽  
Vortex Formation ◽  
Tall Buildings ◽  
Influential Factor ◽  
Architectural Form ◽  
Comfort Levels ◽  
Wind Response ◽  
Occupant Comfort ◽  
Wind Climate

<p>The architectural form of tall and supertall buildings is a fundamentally influential factor in the building’s wind response. Under the action of wind, a tower’s shape can significantly influence the building’s occupant comfort levels, serviceability performance, as well as the effective wind loads which a structure must resist. As tall buildings advance to ever-increasing heights and, more recently, unprecedented slenderness ratios, the across-wind response, or lift response, of towers due to vortex shedding becomes the predominant contributor to wind response. The frequency and intensity of vortex formation off a bluff body is a function of the shape and width of the bluff body, and the speed of the flow. This is a critical relationship in wind engineering where fluid dynamics and architecture intersect, and is defined by the powerful Strouhal equation [1]. This paper shall investigate wind response as a function of the interrelation of the Strouhal number parameters with the structure’s own dynamic properties, as well as the wind environment in which the building is located. In addition, the potential benefit of Critical Width and Critical Mean Recurrence Interval plots as initial indicators at the conceptual stage of tower design will be highlighted.</p>

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