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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.
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TL;DR: In this paper, a vertical displacement transducer was used for structural health monitoring of the Leziria Bridge, and the performance of the optical-based structural monitoring system was evaluated.
121 citations
TL;DR: In this paper, the authors presented a full-scale bridge benchmark problem organized by the Center of Structural Monitoring and Control at the Harbin Institute of Technology, where two critical and vulnerable components of cable-stayed bridges were evaluated.
Abstract: A structural health monitoring (SHM) system provides an efficient way to diagnose the condition of critical and large-scale structures such as long-span bridges. With the development of SHM techniques, numerous condition assessment and damage diagnosis methods have been developed to monitor the evolution of deterioration and long-term structural performance of such structures, as well as to conduct rapid damage and post-disaster assessments. However, the condition assessment and the damage detection methods described in the literature are usually validated by numerical simulation and/or laboratory testing of small-scale structures with assumed deterioration models and artificial damage, which makes the comparison of different methods invalid and unconvincing to a certain extent. This paper presents a full-scale bridge benchmark problem organized by the Center of Structural Monitoring and Control at the Harbin Institute of Technology. The benchmark bridge structure, the SHM system, the finite element model of the bridge, and the monitored data are presented in detail. Focusing on two critical and vulnerable components of cable-stayed bridges, two benchmark problems are proposed on the basis of the field monitoring data from the full-scale bridge, that is, condition assessment of stay cables (Benchmark Problem 1) and damage detection of bridge girders (Benchmark Problem 2). For Benchmark Problem 1, the monitored cable stresses and the fatigue properties of the deteriorated steel wires and cables are presented. The fatigue life prediction model and the residual fatigue life assessment of the cables are the foci of this problem. For Benchmark Problem 2, several damage patterns were observed for the cable-stayed bridge. The acceleration time histories, together with the environmental conditions during the damage development process of the bridge, are provided. Researchers are encouraged to detect and to localize the damage and the damage development process. All the datasets and detailed descriptions, including the cable stresses, the acceleration datasets, and the finite element model, are available on the Structural Monitoring and Control website (http://smc.hit.edu.cn). Copyright © 2013 John Wiley & Sons, Ltd.
121 citations
01 Dec 2005
TL;DR: Wang et al. as discussed by the authors developed a bridge health monitoring system based on optical fiber sensing technology for tunnel structures and other infrastructure, and used it for post-earthquake evaluation of bridges.
Abstract: Foreword Preface Chapter I: Global perspectives on structural health monitoring of civil structures. Are civil structural engineers 'risk averse'? Can civionics help?, A.A. Mufti, B. Bakht, G. Tadros, A.T. Horosko, and G. Sparks Monitoring technologies for maintenance and management of urban highways in Japan, Y. Adachi The role of sensing and measurement in achieving FHWA's strategic vision for highway infrastructure, S.B.Chase Recent development of bridge health monitoring system in Korea, H.M. Koh, S. Kim, and J.F. Choo A strategy to implement structural health monitoring on bridges, C. Sikorsky Sensors - not just for research anymore, N.P. Vitillo Investigation of the dynamic properties of the Brooklyn Bridge, Q. Ye, G. Fanjiang, and B. Yanev Chapter II: Monitoring issues in ancient and modern structures. Distributed sensing technologies for monitoring frpstrengthened structures, Z.S. Wu and C.Q. Yang Problems and perspectives in monitoring of ancient masonry structures, A. De Stefano and R. Ceravolo Monitoring and response of CFRP prestressed concrete bridge, N.F. Grace Design of temporary and permanent arrays to assess dynamic parameters in historical and monumental buildings, P. Clemente and D. Rinaldis FRP-Strengthened structures: Monitoring issues from Quebec applications, P. Labossiere, P. Rochette, K.W. Neale, and M. Demers Structural and material monitoring of historical objects, M. Drdack Chapter III: Sensing of structural parameters and extreme events. Internal and external sensing for post-earthquake evaluation of bridges, M. Saud Saudi, R. Nelson, and P. Laplace Application of em stress sensors in large steel cables, M.L.Wang, G. Wang, and Y. Zhao Enhancing durability of structures by monitoring strain and cracking behavior, B. Hillemeier, H. Scheel, and W. Habel Development of an earthquake damage detection system for bridge structures, H. Kobayashi andS. Unjoh Determination of rebar forces based on the exterior crack opening displacement measurement of reinforced concrete, T. Matsumoto and M.N. Islam Monitoring system based on optical fiber sensing technology for tunnel structures and other infrastructure, K. Fujihashi, K. Kurihara, K. Hirayama, and S. Toyoda Development of FBG sensors for structural health monitoring in civil infrastructures, Z. Zhou and J. Ou Chapter IV: Smart sensors, imaging and NDT of civil structures. Monitoring of a smart concrete beam, Q.B. Li, L. Li, and F. Zhang Fiber optic nerve systems with optical correlation domain technique for smart structures and smart materials, K. Hotate Use of active sensors for health monitoring of transportation infrastructure, S. Nazarian Health monitoring of concrete structures using self-diagnosis materials, H. Inada, Y. Okuhara, and H. Kumagai Application of image analysis to steel structural engineering, K. Tateishi and T. Hanji Shape memory alloy based smart civil structures with self-sensing and repairing capabilities, H. Li, C. Mao, Z. Liu, and J. Ou Smart sensors and integrated SHM system for offshore structures, Z. Duan, J. Ou, Z. Zhou, and X. Zhao Chapter V: Sensor system design, data quality, processing, and interpretation. Design considerations for sensing systems to ensure data quality, R. Zhang and E. Aktan Practical implementations of intelligent monitoring systems in HIT, J.Ou Health monitoring, damage prognosis and service-life prediction - issues related to implementation, V.M. Karbhari Adaptive event detection for shm system monitoring, D.K. McNeill and L. Card A note on interpretation of shm data for bridges, B. Bakht Chapter VI: Sensor and instrumentation performance and reliability instrumentation performance during long-term bridge monitoring, I.N. Robertson, G.P. Johnson, and S. Wang Stability and reliability of fiber-optic measurement systems -
121 citations
TL;DR: In this article, two statistical methods based on moving principal component analysis and robust regression analysis are demonstrated to be useful for damage detection during continuous static monitoring of civil structures during SHM.
121 citations
TL;DR: This paper documents applications of time-variant analysis for damage detection using two main approaches, the time–frequency and the time-scale analyses.
Abstract: Signal processing is one of the most important elements of structural health monitoring. This paper documents applications of time-variant analysis for damage detection. Two main approaches, the time–frequency and the time–scale analyses are discussed. The discussion is illustrated by application examples relevant to damage detection.
121 citations