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Florida Coastal Monitoring Program Hurricane Wind Data Collection Kurt Gurley – University of Florida Forrest Masters – Florida International University.

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Presentation on theme: "Florida Coastal Monitoring Program Hurricane Wind Data Collection Kurt Gurley – University of Florida Forrest Masters – Florida International University."— Presentation transcript:

1 Florida Coastal Monitoring Program Hurricane Wind Data Collection Kurt Gurley – University of Florida Forrest Masters – Florida International University Tim Reinhold – Institute for Business and Home Safety David Prevatt – Clemson University

2 Florida Coastal Monitoring Program Measure in-field hurricane ground level wind velocities and relay data in real-time to emergency managers, forecasters and researchers Measure the hurricane wind pressures on residential structures Test capacity of building components Statistical Assessment of structural damage post-event Model structural vulnerability, and investigate mitigation measures

3 Knowledge of ground-level winds used by: –Atmospheric scientists Boundary layer transition during hurricane landfall Peak and mean speeds for model calibration Validation of remote sensing technology –Emergency managers Estimate –Physical damage (buildings and lifelines) –social and economic impacts Assignment of limited resources Motivation for Research

4 Knowledge of ground-level winds used by: –Wind and civil engineers Modeling the Damage Chain –Wind speeds at higher elevations –Wind speeds near ground level –Wind pressure on structures –Wind damage prevention measures Outcomes: –Wind tunnel modeling –Building codes and standards with accurate load information

5 Portable Weather Stations Stiff 10-m Steel Lattice Tower Remain stable in 200 mph winds Self-powered Instruments collect wind speed and environmental data Quick setup to hasten retreat from approaching storm

6 Tower in Atlantic Beach, NC Isabel, 2003

7 Navarre Causeway Dennis 2005 Peak 3-sec gust of 120 mph at 5 meters

8 Tower Data Time histories of wind speed over the duration of the hurricane Statistical analysis reveals information needed for engineering design to resist the wind

9 Real-time Data Transmission NOAA DCS MIRROR WEB SERVERS FIELDNOAA GOES SATELLITE

10 NOAA Hurricane Research Division Maximum Sustained Wind Swath Hurricane Jeanne (2004) Tower data is one of the sources of ground data input to H*WIND contour model of wind speeds

11 Fleet of 5 towers ( 6 for 2006 season )

12 Program Website

13 FCMP Instrumented Homes Measure Hurricane Wind Pressure 32 homes along Florida coast Owners receive free retrofits –storm shutters, new roof, gable bracing, braced garage door, etc. Sensors record uplift roof pressure

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15 Hurricane Frances Winds on House – Jensen Beach Study to Compare full-scale to Wind tunnel model to ASCE 7 loads

16 Hurricane Frances Winds on House – Jensen Beach

17 Frances Peak 3-sec Gusts

18 Hurricane Frances Eye Wall Eyewall Peak 3-second gust 82 m.p.h.

19 Ivan: Category 3 ? Not Based on Measurements 102 mph 71 mph 75 mph 109 mph 124 mph 107 mph mph 109 mph 106 mph mph 81 mph mph 86 mph 89 mph

20 Jeanne Peak 3-sec Gusts

21 Wilma Measured Peak Winds

22 Structural Resistance Using real houses being demolished –In-field testing to quantify actual loads to failure –Relate back to wind speed –Test as-built and retrofitted

23 Failure Capacity Testing DCA project to determine ultimate loads to failure for as-built and retrofitted structures As-built roof to wall toe-nail connections

24 Failure Capacity Testing Retrofit with modern roof to wall connections Uplift capacity increased by factor of 5 with simple retrofit Loads to be converted to wind speed

25 Post Event Damage Documentation Jeanne, 2004

26 Post Event Damage Documentation

27 Window Performance Charley Charlotte County

28 Computational Modeling of Structural Vulnerability –Model the capacity of building components –Apply wind loads –Calculate probability of damage to building

29 Mitigation Studies How would these curves (risks) change if we added strength? –Hurricane shutters –More nails Easily incorporated into the structural model Leads to comparative cost effectiveness ($$) May be applied to other types of structures

30 Thank you. Any questions? Project website


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