Tropical Storm–Induced Buffeting Response of Long-Span Bridges: Enhanced Nonstationary Buffeting Force Model

Liang, Hu; Xu, You Lin; Zhu, Qing; Guo, Anna; Kareem, Ahsan

doi:10.1061/(asce)st.1943-541x.0001745

Cited by 37 publications

(9 citation statements)

References 36 publications

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“…Today, a multimode coupled approach (Chen et al 2001;Jain et al 1996;Katsuchi et al 1998;Øiseth et al 2010;Xu et al 2000) is commonly used, where analysis may be conducted in either the frequency or time domain. Analyses considering skew-winds (Kimura and Tanaka 1992;Wang et al 2011;Xie et al 1991;Xu et al 2003;Xu and Zhu 2005a;Zhu and Xu 2005), full-bridge models (Xu et al 2000) and spanwise non-uniform winds (Hu et al 2017) were conducted by researchers. In recent years, non-stationary wind models have also been adopted by many (Chen et al 2007;Chen 2015;Hu et al , 2017McCullough et al 2014;Tao et al 2017;Wang et al 2016;Xu and Chen 2004).…”

Section: Introductionmentioning

confidence: 99%

Strong wind characteristics and dynamic response of a long-span suspension bridge during a storm

Fenerci

2018

Journal of Wind Engineering and Industrial Aerodynamics

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As Storm Tor struck the western coast of Norway, wind speeds and bridge deck accelerations along the Hardanger Bridge girder were recorded by the monitoring system installed on the bridge. Using 13.5 hours of data, mean wind speed, turbulence intensities, gust factor, turbulence length scales, angle-ofattack, and one-point and two-point turbulence spectra are studied using 10-minute stationary averaging intervals. Using the measured turbulence statistics as inputs, the buffeting response of the bridge deck is calculated in the frequency domain. The calculated response is compared with the measured response in terms of the root-mean-square (RMS) of acceleration and displacement components and the power spectral density of the acceleration response. Significant discrepancies are found in the case of the vertical response. Predicting the spectral response is found to be more difficult than predicting the RMS response, in particular for high-frequency responses. Considering the spanwise non-uniformity of turbulence statistics did not affect the predictions significantly.

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Section: Introductionmentioning

confidence: 99%

Strong wind characteristics and dynamic response of a long-span suspension bridge during a storm

Fenerci

2018

Journal of Wind Engineering and Industrial Aerodynamics

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“…This observation underlines the importance of the ongoing development of non-stationary buffeting response models, see Refs. [25][26][27].…”

Section: Stationaritymentioning

confidence: 99%

Full-Scale Monitoring of the Wind Field, Surface Pressures and Structural Response of Gjemnessund Suspension Bridge

Consultant

Isaksen

President

2021

Structural Engineering International

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A custom-made monitoring system for long-term measurements of the wind field, surface pressures and structural response has been installed on the Gjemnessund Bridge in Norway. The monitoring system has been operating from 2018 to 2021. The scope was to investigate several topics within bridge aerodynamics in a fullscale environment, e.g. vortex shedding, gust response and span-wise correlations. Six cross-sectional strips with pressure taps were installed on the bridge. The pressure strips covered a span-wise distance equal to approximately six times the deck width. The upstream and the wake flow properties were measured in five locations along the same span. A case study showed that the ten-second gust correlations were stronger than the ten-minute correlations, both spanwise and section-wise. The gust impact on the bridge caused peak-to-peak midspan amplitudes of 1 m vertically and 2 m laterally.

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“…A few studies have investigated the effects of the homogeneity assumption often used in buffeting calculations (Arena et al, 2014;Hu et al, 2017;Zhang, 2007). Fig.…”

Section: Spanwise Wind Profilesmentioning

confidence: 99%

Evaluation of mast measurements and wind tunnel terrain models to describe spatially variable wind field characteristics for long-span bridge design

Lystad

Fenerci

Øiseth

2018

Journal of Wind Engineering and Industrial Aerodynamics

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The quality of the information about the wind field characteristics is crucial for accurately predicting the structural response of a long-span bridge subjected to dynamic wind loads. In this paper, in situ mast measurements and terrain model wind tunnel tests are compared with full-scale measurements of the wind field along the Hardanger Bridge girder. The aim is to investigate the performance of mast measurements and wind tunnel terrain model tests in predicting the wind field characteristics for longspan bridges in complex terrains. Wind field spatial variations and statistical distributions for the mean wind velocity and turbulence intensity are investigated. Extreme value statistics have been applied to compare the mean wind velocity recordings from two different measurement periods. Results showing terrain-induced effects on the wind directions, turbulence intensities and mean wind velocities are presented. Simultaneous spanwise wind profiles for the mean wind velocity and along-wind turbulence intensity are compared between the terrain model wind tunnel tests and the full-scale measurements, and large nonuniformities are identified. The extreme profiles of the turbulence intensities vary as much as 100% along the span, and the mean wind velocity profiles vary up to 50% along the span.

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Tropical Storm–Induced Buffeting Response of Long-Span Bridges: Enhanced Nonstationary Buffeting Force Model

Cited by 37 publications

References 36 publications

Strong wind characteristics and dynamic response of a long-span suspension bridge during a storm

Strong wind characteristics and dynamic response of a long-span suspension bridge during a storm

Full-Scale Monitoring of the Wind Field, Surface Pressures and Structural Response of Gjemnessund Suspension Bridge

Evaluation of mast measurements and wind tunnel terrain models to describe spatially variable wind field characteristics for long-span bridge design

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