Topic
Structural health monitoring
About: Structural health monitoring is a research topic. Over the lifetime, 11727 publications have been published within this topic receiving 186231 citations.
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the authors investigated the potential for using dense arrays of relatively low-precision GPS sensors to achieve high precision displacement estimates and showed that dynamic response resolution as low as 20-30 cm can be achieved and that the resolution improves with the number of sensors used.
Abstract: SUMMARY
Many of the available SHM approaches neither readily support displacement monitoring nor work in concert with one another to take advantage of displacement-based SHM for various long-period structures. Although survey-quality GPS technology offers the possibility of measuring such displacements with sub-centimeter precision, the associated cost is too high to allow for routine deployment. Low-cost GPS chips commonly found in mobile phones and automobile navigation equipment are attractive in terms of size, cost, and power consumption; however, the displacement accuracy of these GPS chips is on the order of several meters, which is insufficient for SHM applications. Inspired by sensory information processing strategies of weakly electric fish, this paper investigates the potential for using dense arrays of relatively low-precision GPS sensors to achieve high-precision displacement estimates. Results show that dynamic response resolution as low as 20–30 cm can be achieved and that the resolution improves with the number of sensors used. Copyright © 2012 John Wiley & Sons, Ltd.
75 citations
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TL;DR: An algorithm with a Bayesian approach based on a Markov-chain Monte Carlo method to cluster structural responses of the bridges into a reduced number of global state conditions, by taking into account eventual multimodality and heterogeneity of the data distribution is proposed.
75 citations
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TL;DR: In this article, the authors proposed a method based on the minimum mean square error (MMSE) estimation, which is applied to the time history data, e.g. accelerations.
75 citations
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TL;DR: In this paper, a structural health monitoring (SHM) method for in situ damage detection and localization in carbon fiber reinforced plates (CFRPs) is presented using the electromechanical impedance (EMI) technique employing piezoelectric transducers as high-frequency modal sensors.
75 citations
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TL;DR: In this paper, the wind characteristics (wind speed, direction, and turbulence intensity) and structural responses (strain, acceleration, and displacement responses) during several typhoon events are compared.
75 citations