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Titlebook: Dynamics of Civil Structures, Volume 2; Proceedings of the 3 Shamim Pakzad,Caicedo Juan Conference proceedings 2016 The Society for Experim

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書目名稱Dynamics of Civil Structures, Volume 2
副標(biāo)題Proceedings of the 3
編輯Shamim Pakzad,Caicedo Juan
視頻videohttp://file.papertrans.cn/285/284024/284024.mp4
概述Includes supplementary material:
叢書名稱Conference Proceedings of the Society for Experimental Mechanics Series
圖書封面Titlebook: Dynamics of Civil Structures, Volume 2; Proceedings of the 3 Shamim Pakzad,Caicedo Juan Conference proceedings 2016 The Society for Experim
描述.Dynamics of Civil Structures, Volume 2. Proceedings of the 34th IMAC, A Conference and?Exposition on Dynamics of Multiphysical Systems: From Active Materials to Vibroacoustics,?2016, the second volume of ten from the Conference brings together contributions to this?important area of research and engineering. Th e collection presents early fi ndings and case?studies on fundamental and applied aspects of Structural Dynamics, including papers on:.? Modal Parameter Identifi cation.? Dynamic Testing of Civil Structures.? Human Induced Vibrations of Civil Structures.? Model Updating.? Operational Modal Analysis.? Damage Detection.? Bridge Dynamics.? Experimental Techniques for Civil Structures.? Hybrid testing.? Vibration Control of Civil Structures.
出版日期Conference proceedings 2016
關(guān)鍵詞Modal Parameter Identification; Dynamic Testing of Civil Structures; Human Induced Vibrations of Civil
版次1
doihttps://doi.org/10.1007/978-3-319-29751-4
isbn_softcover978-3-319-80644-0
isbn_ebook978-3-319-29751-4Series ISSN 2191-5644 Series E-ISSN 2191-5652
issn_series 2191-5644
copyrightThe Society for Experimental Mechanics, Inc. 2016
The information of publication is updating

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地板
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Structural Damage Detection Through Vibrational Feature Analysis with Missing Data,oposed that rely on different damage-sensitive features. These features are derived from data collected by sensor networks implemented on the structure. Damage detection through vibration-based feature analysis thus far has relied on simulation or the responses of fixed sensor networks for feature c
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Structural Assessment of a School Building in Sankhu, Nepal Damaged Due to Torsional Response Durinrced concrete frame which was severely damaged during the 2015 Gorkha Earthquake. The concentration of damage in the west end of the first story indicates that the frame exhibited torsional response to the ground excitation. The authors visited the structure 2 months after the earthquake, collected
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Damage Detection Optimization Using Wavelet Multiresolution Analysis and Genetic Algorithm,ration-based damage detection algorithm using a damage indicator called ‘Relative Wavelet Packet Entropy’ (RWPE) was applied to determine the location and severity of damage. To improve the algorithm, GA was utilized to optimize the algorithm so as to identify the best choice of wavelet parameters.
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A Novel Acoustoelastic-Based Technique for Stress Measurement in Structural Components,hniques operate at the high-frequency, weakly-dispersive portions of the dispersion curves, and rely on time-of-flight measurements to quantify the effects of stress state on wave speed. This adversely affects the sensitivity and accuracy of such techniques, and renders their accuracy limited by the
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A Machine Learning Framework for Automated Functionality Monitoring of Movable Bridges,nance of these components are extremely important for uninterrupted operation of movable bridges. Unfortunately, there have been only a few studies on monitoring of mechanical components of movable bridges. As a result, in this study, a statistical framework is proposed for continuous maintenance mo
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Non-Model-Based Damage Identification of Plates Using Curvature Mode Shapes, and Gaussian curvature MSs (CMSs) to identify damage in plates. A multi-scale discrete differential-geometry scheme is proposed to calculate principal, mean and Gaussian CMSs associated with a MS of a plate, which can alleviate adverse effects of measurement noise on calculating the CMSs. Principal
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