Journal ArticleDOI
Technology developments in structural health monitoring of large-scale bridges
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TLDR
The importance of implementing long-term structural health monitoring systems for large-scale bridges, in order to secure structural and operational safety and issue early warnings on damage or deterioration prior to costly repair or even catastrophic collapse, has been recognized by bridge administrative authorities.About:
This article is published in Engineering Structures.The article was published on 2005-10-01. It has received 879 citations till now. The article focuses on the topics: Bridge maintenance & Structural health monitoring.read more
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Vibration based structural health monitoring of an arch bridge: From automated OMA to damage detection
TL;DR: In this paper, a dynamic monitoring system was installed in a concrete arch bridge at the city of Porto, in Portugal, in order to evaluate the usefulness of approaches based on modal parameters tracking for structural health monitoring of bridges.
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A New Frontier of Printed Electronics: Flexible Hybrid Electronics.
TL;DR: The fundamental building blocks of an FHE system, printed sensors and circuits, thinned silicon ICs, printed antennas, printed energy harvesting and storage modules, and printed displays, are discussed and the recent progress, fabrication, application, and challenges, and an outlook, related to FHE are presented.
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Technology innovation in developing the structural health monitoring system for Guangzhou New TV Tower
TL;DR: In this paper, a structural health monitoring (SHM) system consisting of over 600 sensors has been designed and is being implemented by The Hong Kong Polytechnic University to GNTVT for both in-construction and in-service real-time monitoring.
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Machine learning algorithms for damage detection under operational and environmental variability
TL;DR: In this article, the authors used vibration-based damage identification procedures to detect structural damage in the presence of operational and environmental variations using vibration-sensitive identification procedures. For this purpose, four ma...
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Performance monitoring of the Geumdang Bridge using a dense network of high-resolution wireless sensors
TL;DR: In this paper, a network of low-cost wireless sensors was installed in the Geumdang Bridge, Korea to monitor the bridge response to truck loading, and a signal conditioning circuit that amplifies and filters low-level accelerometer outputs is proposed.
References
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Statistical learning theory
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A Tutorial on Support Vector Machines for Pattern Recognition
TL;DR: There are several arguments which support the observed high accuracy of SVMs, which are reviewed and numerous examples and proofs of most of the key theorems are given.
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An introduction to kernel-based learning algorithms
TL;DR: This paper provides an introduction to support vector machines, kernel Fisher discriminant analysis, and kernel principal component analysis, as examples for successful kernel-based learning methods.
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A summary review of vibration-based damage identification methods
TL;DR: In this paper, the authors provide an overview of methods to detect, locate, and characterize damage in structural and mechanical systems by examining changes in measured vibration response, including frequency, mode shape, and modal damping.
A review of structural health monitoring literature 1996-2001
TL;DR: An updated review covering the years 1996 2001 will summarize the outcome of an updated review of the structural health monitoring literature, finding that although there are many more SHM studies being reported, the investigators, in general, have not yet fully embraced the well-developed tools from statistical pattern recognition.