Fiber-Optic Sensors For Infrastructure Health Monitoring, Volume II

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This item is printed on demand - Print on Demand Titel. Neuware -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.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 148 pp. Englisch. Bestandsnummer des Verkäufers 9781949449464

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Über die Autorin bzw. den Autor: Zhishen Wu is a professor at Southeast University, China and Ibaraki University, Japan. He is the president of the International Society for Structural Health Monitoring of Intelligent Infrastructure and the chief editor of the International Journal of Sustainable Materials and Structural Systems. He is a member of the Engineering Academy of Japan and a fellow of ASCE, JSCE, ISHMII, and IIFC.

Jian Zhang is a professor at Southeast University. He is a recognized researcher in structural health monitoring of bridges. He serves on the editorial board of the Structural Control and Health Monitoring Journal and is a recipient of the 1000 Program Distinguished Expert Young Scholar and Jiangsu Science Fund for Outstanding Young Scholars.

Mohammad Noori, a recognized researcher in AI techniques for struc­tural health monitoring, and random vibrations, is an ASME Fellow and professor of mechanical engineering, at California Polytechnic State University. He has also been a distinguished visiting professor at South­east University, in China and a recipient of Japan Society for Promotion of Science fellowship.