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Conference International Conference on Experimental Vibration Analysis for Civil Engineering Structures (2017 : San Diego, Calif.)
Title Experimental vibration analysis for civil structures : testing, sensing, monitoring, and control / Joel P. Conte, Rodrigo Astroza, Gianmario Benzoni, Glauco Feltrin, Kenneth J. Loh, Babak Moaveni, editors.
Imprint Cham, Switzerland : Springer, [2018]

LOCATION CALL # STATUS MESSAGE
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LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Conference International Conference on Experimental Vibration Analysis for Civil Engineering Structures (2017 : San Diego, Calif.)
Series Lecture notes in civil engineering ; volume 5.
Lecture notes in civil engineering ; v. 5.
Subject Structural dynamics -- Congresses.
Alt Name Conte, Joel P.,
Astroza, Rogo,
Benzoni, Gianmario,
Feltrin, Glauco,
Loh, Kenneth J.,
Moaveni, Babak,
Description 1 online resource : illustrations.
Bibliography Note Includes bibliographical references and index.
Contents Preface -- Organization -- Editors/Organizing Committee -- Scientific Committee -- Contents -- Keynote Papers -- Assessment of Small Damage by Direct Modal Strain Measurements -- Abstract -- 1 Introduction -- 2 Small Local Damage -- 2.1 Background -- 2.2 Upscaling Strain Transducer -- 2.3 Strain Optical Fiber Network -- 2.4 Damage Identification by Modal Strains -- 3 Conclusions -- Acknowledgments -- References -- Flexible Architectures for Full-Scale Performance Evaluation of Tall Buildings: Burj Khalifa and Beyond -- Abstract -- 1 Introduction
2 Conceiving a Modular Sensing Architecture2.1 SmartSync Sensing Modules -- 2.2 Enhanced Displacement Monitoring -- 2.3 Derived Displacement Data -- 2.4 Server-Side Data Management -- 3 Beyond Burj: Democratizing Sensing -- 4 Conclusions -- Acknowledgments -- References -- Information-Driven Modeling of Structures Using a Bayesian Framework -- Abstract -- 1 Introduction -- 2 Bayesian Framework for Uncertainty Quantification and Propagation -- 2.1 Parameter Estimation and Model Selection -- 2.2 Uncertainty Propagation
2.3 Techniques for Reducing Computational Demands3 Optimal Experimental Design -- 3.1 Sampling Method -- 3.2 Asymptotic Approximation -- 3.3 Implementation for Modal Identification -- 4 Application 1: Model Updating of Metsovo Bridge -- 4.1 Description -- 4.2 Finite Element Model -- 4.3 Optimal Placement of Reference Sensors -- 4.4 Experimental Modal Analysis -- 4.5 Model Updating Results -- 5 Application 2: Estimation of Hanger Tension in Arch Bridges -- 5.1 Description of Hanger -- 5.2 Estimation of Hanger Tension -- 6 Conclusions -- Acknowledgments
2 Method2.1 Artificial Neural Networks -- 2.2 Receiver Operating Characteristic Curve -- 3 Bridge and Finite Element Model -- 4 Results -- 5 Conclusions -- References -- Vibration Based Damage Identification Method for Cantilever Beam Using Artificial Neural Network -- Abstract -- 1 Introduction -- 2 Artificial Neural Network -- 3 Damage Identification Using ANN -- 4 Modal Testing and Experimental Modal Analysis -- 5 Finite Element Modelling -- 6 ANN Training and Testing -- 7 Results and Discussion -- 8 Conclusions -- References
Note Online resource; title from PDF title page (SpringerLink, viewed October 24, 2017).
Summary This edited volume presents selected contributions from the International Conference on Experimental Vibration Analysis of Civil Engineering Structures held in San Diego, California in 2017 (EVACES2017). The event brought together engineers, scientists, researchers, and practitioners, providing a forum for discussing and disseminating the latest developments and achievements in all major aspects of dynamic testing for civil engineering structures, including instrumentation, sources of excitation, data analysis, system identification, monitoring and condition assessment, in-situ and laboratory experiments, codes and standards, and vibration mitigation.
ISBN 9783319674438 (electronic bk.)
3319674439 (electronic bk.)
3319674420
9783319674421
9783319674421 (print)
ISBN/ISSN 10.1007/978-3-319-67443-8
OCLC # 1006502652
Additional Format Printed edition: 9783319674421.



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