Title: Thunderstorm Characteristics of Importance to Wind Engineering
1Thunderstorm Characteristics of Importance to
Wind Engineering
- Franklin T. Lombardo, Ph.D.
- Texas Tech University
- Lubbock Severe Weather Conference
- Lubbock, Texas
- February 18, 2010
2PROBLEM STATEMENT
- Wind is Wind
- Statistics for wind/pressure used in wind load
standard (ASCE 7) - Wind Tunnel Data ? steady mean and variance ?
stationary (log-law) - Validated with full-scale data that is stationary
in boundary layer (SBL) over periods ranging from
10 minutes to 1 hour (spectral gap) - Extreme events (e.g. thunderstorms, hurricanes)
--gt non-stationary ? control design in most of
the US - Assume that physical and statistical
characteristics are the same
An example of a stationary wind record (left) and
a thunderstorm record (right)
3INTRODUCTION
- Non-Stationary Wind/Pressure Data
- Wind/Pressure Statistics (e.g. turbulence
intensity, pressure coefficient) - Use mean wind speeds within the spectral gap
- Thunderstorm usually occur over durations shorter
than the spectral gap ( 1-10 min) and display
non-stationary characteristics, especially short
duration ramp-up events - Difficult to make comparisons between stationary
and non-stationary data statistics not
representative - Attempt to collect additional thunderstorm data
and facilitate comparisons of the two events
4INTRODUCTION
- Facilities/Instrumentation/Data Collection
- Wind Engineering Research Field Laboratory
(WERFL) - 200 Meter Tower
- Meteorological instrumentation on 10 different
levels ? 3 to 656
- 204 differential pressure taps (building) (104
walls, 90 roof) - 30 sonic ? geometric center
- 160 tower ? 5 levels
- 150 feet away
- Now at Reese ? building remains
- 13 Tower, 30 Sonic
5THUNDERSTORM EVENTS
- Ramp-Up Types/Characteristics
- Exhibit rapid increase/decrease in wind speed
over a short period - Time histories show some similarities but no
universal form (wide variability) - Some occur over longer scales ( 2 min), others
shorter ( 10 sec) ? 9 events
58
6THUNDERSTORM TIME SCALES
- Andrews AFB Microburst (1983) ? 90-100 seconds
- Standard for wind engineering use 150 mph gust
poor data quality - Lubbock RFD (2002) ? 100 seconds (Holmes, 2008),
2 3 minutes (Kwon and Kareem, 2009) - 90 mph gust ? design wind speed for most of the
country high resolution data - Want to determine information of importance to
wind engineering - Previous studies used time-varying mean for
non-stationary events to quantify information - Created algorithm to measure durations of
stationary turbulence - Stationary turbulence that contained peak wind
speed was used
7RESIDUAL TURBULENCE
Using 17 second averaging time Mean Residual
Turbulence Duration 150 s Appropriate time
periods for analysis in thunderstorm prone areas
should be 60 200 seconds These representations
(using 15 60 s averaging time) can be used for
further wind engineering statistics (TI, GF,
PSD) Likely areas a higher turbulence on small
scales shown in previous figure (10s) but would
be near impossible to quantify
8THUNDERSTORM VARIABILITY
- So what does the reduced time scale and
consideration for thunderstorms in structural
design mean? - Increased Variability
- Other studies (Ponte and Riera, 2007) have shown
highly varying time scales for thunderstorms - Other variability has been shown in vertical wind
speed profiles, turbulence, etc ? will show
later - Assuming statistical and physical properties are
the same for a moment
100 s
900 s
Schroeder (1999)
9WIND ENGINEERING PARAMETERS
- Turbulence Intensity
- Compared with SBL data (100 s segments)
- All ramp-up events fall within range of SBL
(33) for 15-60 s averaging times - VORTEX2 case outside of range gt 10 second
averaging time (7 ) - Inherently additional turbulence, but likely not
attributed to surface roughness
10VORTEX2 CASE
- May 15, 2009 ? North Central Oklahoma
- Although wind speeds barely exceeded severe
levels and are well below design values for a
short period, it raises a number of interesting
questions for wind engineering as it is a unique
time history (TI values different) - Multiple rapid changes in wind speed and
direction 2 minute period - Periodic fluctuations on relatively smaller
scales (0.03 0.05 Hz) - Also small spatial scale ? probe 1 mile away
did not record event
11WIND ENGINEERING PARAMETERS
- Gust Factor
- VORTEX2 case, others, outside of range gt 100
seconds, smaller time scales - Higher variability noted, few straddle bounds of
SBL although most within - Suggests similar gustiness at short time scales
- Ramp-Up GF different than one used in ASCE
60-100 seconds - V2 GF for a 1500 second record was 9
12WIND ENGINEERING PARAMETERS
- Power Spectral Density, Turbulence Scales
- Look at turbulence in frequency domain high
frequency scales (along-wind component) - At frequencies gt 0.05 Hz, thunderstorm energy is
similar to SBL models - However V2 case shows strong energy at 0.03-0.05
Hz (not shown) - Other cases show strong energy at 0.01 Hz
13VERTICAL WIND PROFILES
- Important for Structural Loading
- ASCE 7 assumes modified log profile for 3
second gust wind speed - Evolutionary factors not considered in wind
engineering - Design exceedance at only one or multiple levels
- Taken from 200 meter tower ? Reese Field Site
- Transition from SBL to impinging jet ? 30s
- Momentum works downward with time
- Below maximum wind speed ? resembles SBL
profiles (low as 13)
14VERTICAL WIND PROFILES
- Other Examples
- Some cases show close to uniform profile noted
in other extreme wind studies - Compared with SBL 3-second maximum gust profiles
- 0.30 z/zmax compared to 0.88 z/zmax for SBL
(highly variable) - Environmental conditions, storm type (i.e.
isolated microburst, bow echo, supercell) need to
be further studied - Highest wind speed at surface similar whereas
highest overall wind speed from HP supercell/bow
echo
June 19, 2008
June 4, 2009
June 19, 2003
Impinging Jet
Log
Uniform
15VERTICAL ANGLE OF ATTACK (33)
- Noted in studies (Wu, 2001 Richards and Hoxey,
2004) to induce high negative pressures on roof
with positive (upward) anglesNOT vertical wind
speed - No significant differences detected versus SBL
- Even in ramp-up events due to strong horizontal
wind speeds - May be different as surface roughness becomes
less dominant - Strong upward motion in tornadic vortices, for
high-rise buildings gt 60 feet
16BUILDING EFFECTS
- Pressure Coefficient vs. Angle of Attack (3
second) - Use sonic (30) on top of WERFL assuming (2
events) - Uniform profile, no angle of attack changes from
MRH to 30 - Use (13) 150-200 from WERFL (1 event)
- Determine any flow field differences over that
distance
?
17BUILDING EFFECTS
- 95 of ramp-up Cps (red) fell within range
of WERFL SBL at similar AOA using peak 3-s gust - All fell within range in conical vortex regions
- Flow features over building are similar
18BUILDING EFFECTS
- Interest of what happens in separation region
during gusting conditions (Murgai et al.,
2006Hwang et al., 2001) - Temporal acceleration of wind has become area of
interest (Doswell et al., 2009) - Criteria 20 mph increase in 3s, flow normal to
walls (gust, mean), AOA constant
- Determination of
- Distance of Strongest Negative Pressure From Roof
Edge - Aerodynamics Changes
19BUILDING EFFECTS
- Results
- Mean cases ? 3.9 4.1 feet
- Gust cases ? 2.0 5.3 feet ? high variability
- Pressure distributions similar when using mean
gust speed - Anemometer 30 feet away ? still difficult to
determine the effects at smaller time/length
scales ? correlation of wind and pressure
- May actually be gain additional information in
wind tunnel where wind/pressure effects can be
more easily measured/visualized
20EXTREME WIND SPEED ANALYSIS
- Current ASCE wind map uses basic wind speeds
(3s gust) without regard for storm type and
assumed uniform exposure - Computation of design pressure on a building for
all US (most 90 mph) - Thunderstorm winds shown to have different
probability distributions and dominate most US
extreme wind climates including West Texas - 200 ASOS stations in current analysis high
resolution data (WTM, StickNet), additional ASOS
available to enhance current wind estimates (6
exceedances in 8 years) GIS programs to aid with
address roughness issues - Due to small spatial scales (V2, others), wind
speeds not in current analysis
21EF-SCALE ISSUES/QUESTIONS
- Main application is tornadoes but these research
topics would apply to thunderstorm research as
well - Temporal/Spatial character of high winds
- Temporal Acceleration
- Duration vs. Damage Flow Modification
- Coherence/Correlation
- Wind Speed vs. Damage Relation
- Rapid Wind Direction Changes ? affect building
pressures - Additional high resolution measurements
- StickNet, KA Band Radar ? near surface wind
characteristics - Pressure measurements on structures similar to
hurricanes - Vertical wind speeds in tornadoes
- Does it offset the strong horizontal wind speeds?
22CONCLUSIONS/FUTURE WORK
- Extreme thunderstorm events (9) studied for wind
engineering purposes - High Variability (time series, time scales, WE
parameters, vertical profiles) - Time Scales ( 60 -200 seconds)
- Current method not appropriate for analysis in
thunderstorm areas - Likely small scale turbulence regimes not
accounted for - Wind Engineering Parameters
- Turbulence Intensity ? SBL, TS similar for
prescribed averaging times with exception of V2
case - Gust Factor ? high variability, gt 60 seconds no
Durst Curve - Power Spectral Density ? periodic fluctuations
evident, higher scale turbulence important to
most structures similar - Events like V2 case need additional documentation
and study - Vertical Profiles
- Evolve over short time scales maximum profiles
highly variable - Peak on average lower the max measuring height
23CONCLUSIONS/FUTURE WORK
- Extreme thunderstorm events (9) studied for wind
engineering purposes - Vertical Angle of Attack
- No significant differences compared to SBL
- May be different at higher above surface,
tornadic cases - Building Effects
- 3-s Cp mostly within range of SBL ? all in
critical areas - Rapid increases in wind speed do not seem to
alter aerodynamics - Rapid wind direction changes need study
- Extreme Wind Speeds
- Can be further enhanced with field programs to
capture events of small temporal, spatial scales
24QUESTIONS/COMMENTS