Abstract
A wind velocity power spectrum (WVPS) with high fidelity is extremely important for accurateprediction ofstructural buffeting response. WVPS heavily depends on the geographical locations, local terrainsand topographies.Hence, field measurement of wind characteristics may be the unique way to obtain the accurate WVPSfor a specificregion. In this paper, a systematic analysis and discussions of existing WVPSs were performed. Six recorded strong wind data from the structural health monitoring systems (SHMS) of Runyang Suspension Bridge (RSB) and Sutong Cable-stayed Bridge (SCB) in Jiangsu Provinceof Chinawere selected for analysis. The measured and pre-processed wind velocity data was first transformed from time domain to frequency domain to obtain the measured spectrum. The spectrum for each strong wind was then fitted using the nonlinear least square method and compared with both the fitted spectrum from statistical analysis and the recommendedspectrumin specifications. The modified Kaimal spectrum was proved to be the "best" choice for the coastal area of East Jiangsu Province. Finally, a suitable WVPS formula fit for the coastal area of East Jiangsu Provincewaspresented based on the modified Kaimal spectrum. Results in this study provide a more accurate and reliable WVPS for wind-resistantdesign of engineering structures in the coastal area of East Jiangsu Province.
| Original language | English |
|---|---|
| Pages (from-to) | 235-252 |
| Number of pages | 18 |
| Journal | Wind and Structures, An International Journal |
| Volume | 22 |
| Issue number | 2 |
| DOIs | |
| State | Published - Feb 2016 |
Keywords
- Coastal Area Of East Jiangsu Province
- Power Spectrum
- Strong Wind
- Structural Health Monitoring
- Wind Velocity
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