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AN ARTIFICIAL NEURAL SYSTEM WITH DISTRIBUTED PARALLEL PROCESSING FOR STRUCTURAL HEALTH MONITORINGKIRIKERA, GOUTHAM RAGHAVENDRA 02 September 2003 (has links)
No description available.
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A Structural Neural System for Health Monitoring of StructuresKirikera, Goutham Raghavendra 02 October 2006 (has links)
No description available.
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Structural Health Monitoring of a Thermal Protection System for Fastener Failure with a Validated ModelTobe, Randy Joseph 18 November 2010 (has links)
No description available.
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Assessment of Bridge Service Life Using Wireless Sensor NetworkRahman, A.B.M. Mostafizur 25 June 2012 (has links)
No description available.
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Vibro-Acoustic Modulation as a Baseline-Free Structural Health Monitoring TechniqueVehorn, Keith A. 30 August 2013 (has links)
No description available.
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PCA Eigen Residuals: An Analytical Solution to System Modeling and Multivariate Structural Health MonitoringAdediji, Adekunle C. 21 October 2013 (has links)
No description available.
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Synthesis and Characterization of a Carbon Nanotube Based Composite Strain SensorBoehle, Matthew C. 23 May 2016 (has links)
No description available.
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Embedding fiber Bragg grating sensors through ultrasonic additive manufacturingSchomer, John J. 08 August 2017 (has links)
No description available.
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A Newly Proposed Method for Detection, Location, and Identification of Damage in Prestressed Adjacent Box Beam BridgesKelly, Brendan T. 11 September 2012 (has links)
No description available.
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Structural health monitoring using modern sensor technology : long-term monitoring of the New Årsta Railway BridgeEnckell, Merit January 2006 (has links)
Structural Health Monitoring (SHM) is a helpful tool for engineers in order to control and verify the structural behaviour. SHM also guides the engineers and owners of structures in decision making concerning the maintenance, economy and safety of structures. Sweden has not a very sever tradition in monitoring, as countries with strong seismic and/or aerodynamic activities. Anyway, several large scale monitoring projects have taken place in recent years and SHM is slowly making entrance as an essential implement in managing structures by engineers as well as owners. This licentiate thesis presents a state-of-the art-review of health monitoring activities and over sensory technologies for monitoring infrastructure constructions like bridges, dams, off-shore platforms, historical monuments etc. related to civil engineering. The fibre optic equipment is presented with special consideration. The permanent monitoring system of the New Årsta Bridge consists of 40 fibre optic sensors, 20 strain transducers, 9 thermocouples, 6 accelerometers and one LVDT. The aims of the static study are: to control the maximal strains and stresses; to detect cracking in the structure; to report strain changes under construction, testing period and in the coming 10 years; and to compare conventional system with fibre optic system. The system installation started in January 2003 and was completed October 2003. The measurements took place from the very beginning and are suppose to continue for at least 10 years of operation. At the construction phase the measurements were performed manually and later on automatically through broad band connection between the office and central data acquisition systems located inside the bridge. The monitoring project of the New Årsta Railway Bridge is described from the construction phase to the testing phase of the finished bridge. Results of the recorded statistical data, crack detection and loading test are presented and a comparison between traditional techniques like strain transducers and fibre optic sensors is done. Various subjects around monitoring and sensor technologies that were found under the project are brought up in order to give the reader a good understanding, as well of the topics, techniques and of the bridge. Example of few applications is given with the aim of a deeper insight into monitoring related issues. / QC 20101112
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