Abstract
AbstractThere has recently been considerable research published on the applicability of monitoring systems for improving civil infrastructure management decisions. Less research has been published on the challenges in interpreting the collected data to provide useful information for engineering decision makers. This paper describes some installed monitoring systems on the Hammersmith Flyover, a major bridge located in central London (United Kingdom). The original goals of the deployments were to evaluate the performance of systems for monitoring prestressing tendon wire breaks and to assess the performance of the bearings supporting the bridge piers because visual inspections had indicated evidence of deterioration in both. This paper aims to show that value can be derived from detailed analysis of measurements from a number of different sensors, including acoustic emission monitors, strain, temperature and displacement gauges. Two structural monitoring systems are described, a wired system installed by a...
Highlights
Literature ReviewMany studies have been published recently that describe the deployment of extensive structural health monitoring (SHM) systems in which both wireless (e.g., Lynch et al 2006; Hoult et al 2008a, b, 2010b; Kurata et al 2013) and wired (e.g., Wong 2004; Shoukry et al 2009; Dwairi et al 2010) data communications systems have been employed
This paper describes some installed monitoring systems on the Hammersmith Flyover, a major bridge located in central London (United Kingdom)
Having a SHM system installed does not mean that valuable engineering information exists, merely that the data collected may have the potential to be converted into useful information with the appropriate filtering and analysis
Summary
Literature ReviewMany studies have been published recently that describe the deployment of extensive structural health monitoring (SHM) systems in which both wireless (e.g., Lynch et al 2006; Hoult et al 2008a, b, 2010b; Kurata et al 2013) and wired (e.g., Wong 2004; Shoukry et al 2009; Dwairi et al 2010) data communications systems have been employed. More advanced analyses using data from SHM systems have been carried out, in some cases to determine the optimum locations of sensors for new deployments (e.g., Kripakaran and Smith 2009; Laory et al 2012) and in others, to falsify model variants using different combinations of material parameters and boundary conditions that influence the behavior of the structure (e.g., Goulet et al 2010). SHM monitoring efforts studying the effects of temperature (e.g., Chang and Im 2000) and studies attempting to match finite-element analyses to the measured data during bridge load tests (e.g., Hedegaard et al 2013) have been carried out
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