Wind characteristics at a long-span sea-crossing bridge site based on monitoring data

Abstract

Six years of wind data are used to investigate the statistical characteristics of general and strong winds acting on the Donghai Bridge, a sea-crossing bridge in China. The general wind at the bridge site shows a relatively stable annual repeatability, and the discrepancies are found between the measured wind field parameters and those suggested by the design code. For strong winds, both the 10-min mean wind speed and the turbulent variance greatly exceed those of general winds, while the turbulence intensity, integral length scale, and gust factor do not exhibit any noticeable quantitative trends. The measured wind spectra of both general and strong winds show a shift toward the high-frequency range compared with Simiu’s spectrum (along-wind direction). The wind measurements at the bridge site are easily interfered with the bridge structure itself, resulting in a greater turbulence along the bridge axis and a higher turbulent kinetic energy in the high-frequency range, which needs to be considered in designing structural health monitoring systems in the future. This study provides field evidence for the wind-resistant design and evaluation of long-span sea-crossing bridges.

Wind Induced Vibrations on Long Span Bridges

“…The findings contribute to the understanding of VIV phenomena in cablestayed bridges and provide valuable data for the assessment and design of such structures to ensure their stability and performance in windy conditions. Zhou et al, [33] this study focuses on analysing the wind characteristics at a long-span sea-crossing bridge site based on monitoring data. The authors examine the wind patterns and speeds recorded at the site to understand the wind behaviour and its impact on the bridge structure.…”

PIV analysis of near-wake flow patterns of an ice-accreted bridge cable in low and moderately turbulent wind

“…However, in many practical applications, the turbulence intensity of the flow field is usually in the range between 10 and 20%. The justification of such a statement can be found in the paper (Zhou et al, 2018), where the mean turbulence intensity with a value of 13.8% was estimated based on six-year time-average wind data obtained from 2007 to 2012 in the vicinity of the sea-crossing Donghai Bridge, China. It is noteworthy that previous wind tunnel tests conducted by Buresti (1981) or Adachi (1997) have proven that the increased turbulence intensity of the free stream, as well as the increased surface roughness of the cylinder, induce a transition to the so-called critical and trans-critical regimes at lower values of the Reynolds number.…”

Wind Characteristics in Mountainous Valleys Obtained through Field Measurement

“…To reliably obtain statistical wind characteristics, Wang et al incorporated two anemometers into a structural health monitoring system (SHMS) to extensively collect wind data to monitor the wind environment at the site of the Runyon Suspension Bridge (RSB) [32]. Zhou et al investigated the wind characteristics of the Donghai Bridge site and discussed the mean and turbulent wind characteristics based on six years of field monitoring data [33]. Zhang et al installed nine anemometers on the 325 m high Beijing Meteorological Tower to systematically analyze the recorded thunderstorm flows [34].…”