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Fiber-optic sensors for infrastructure health monitoring. Volume II, Methodology and case studies / Zhishen Wu, Jian Zhang, Mohammad Noori.

EBSCOhost Academic eBook Collection (North America) Available online

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Ebook Central Academic Complete Available online

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Format:
Book
Author/Creator:
Wu, Zhishen, author.
Zhang, Jian, author.
Noori, Mohammad, author.
Series:
Sustainable Structural Systems Collection
Language:
English
Subjects (All):
Structural health monitoring.
Optical fiber detectors.
Physical Description:
1 online resource (147 pages).
Edition:
1st ed.
Place of Publication:
New York, NY : Momentum Press, Engineering, 2019.
Summary:
Over the past two decades, extensive research has been conducted on the application of fiber-optic sensors (FOSs) in structural health monitoring (SHM). In Volume 1 of this book a long-gauge sensing technique for incorporating a proposed areawise sensing, developed by the authors, was introduced. High precision and good durability of the long-gauge sensors were also demonstrated via technical improvements that further enable the applications of optical fiber sensors and carbon fiber sensors. In Volume 2, based on the merits of the long-gauge sensors, the methods that have been developed for processing areawise distributed monitoring data for structural identification are introduced. A discussion follows on how those methods are capable of performing a rich recognition of local and global structural parameters including structural deflections, dynamic characteristics, damages, and loads. Also presented is a three-level method of structural performance evaluation that utilizes monitoring data and identified results.
Contents:
Cover
FIBER-OPTIC SENSORS FOR INFRASTRUCTURE HEALTH MONITORING, VOLUME II: Methodology and Case Studies
CONTENTS
Acknowledgments
CHAPTER 1: Structural Identification and Damage Detection Based on Macro-Strain Measurements
CHAPTER 2: Area Distributed Monitoring Based Structural Performance Evaluation
CHAPTER 3: Concluding Remarks and Future Work
About the Authors
Index
Ad Page
Back Cover.
Notes:
Description based on print version record.
ISBN:
9781945612237
1945612231
OCLC:
1080080079

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