A comprehensive introduction to strain-based structural health monitoring of civil structures, with focus on measurement and data analysis
Introduction to Strain-Based Structural Health Monitoring of Civil Structures focuses on the SHM of Civil Structures and Infrastructure, and develops the relevant topics of measurement and data analysis from a fundamental to advanced level.
The book contains an overview of the available and emerging strain monitoring technologies, for example, traditional strain-gauges and vibrating wire sensors, discrete and distributed fiber optic sensors, and large area electronics. The fundamentals of error analysis, as well as typical sources of errors in measurements are discussed. Sources of strain in typical construction materials such concrete, steel, timber, and composite materials are also discussed, and both basic and advanced data interpretation and analysis for static and dynamic monitoring are presented in detail.
Methods applicable to a large spectrum of structural elements and civil structures, such as bridges, buildings, and pipelines are summarized. These methods are developed at three scales: local material scale, global structural scale, and integrity scale, and illustrated with practical examples.
Key features:
Introduction to Strain-Based Structural Health Monitoring of Civil Structures is essential, state-of-the-art reading for civil and structural engineers and professionals in SHM, as well as teachers, researchers and students in civil engineering.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Branko Glisic is Professor and Chair of Civil and Environmental Engineering at Princeton University, USA. His main areas of interest are SHM methods, advanced sensory systems, SHM analysis and data management, smart and adaptable structures, heritage structures, and more broadly, sustainable, resilient, and livable built environment, engineering education, and engineering and the arts. He received degrees in civil engineering and mathematics from the University of Belgrade and his doctorate from the Swiss Federal Institute of Technology, Lausanne (EPFL). Prior to joining Princeton, he was employed at SMARTEC SA, Switzerland, where he was involved in research and engineering in numerous structural health monitoring projects.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Etat : New. Branko Gliaic is Professor and Chair of Civil and Environmental Engineering at Princeton University, USA. His main areas of interest are SHM methods, advanced sensory systems, SHM analysis and data management, smart and adaptable structures, heritage struct. N° de réf. du vendeur 31554048
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Hardcover. Etat : new. Hardcover. A comprehensive introduction to strain-based structural health monitoring of civil structures, with focus on measurement and data analysis Introduction to Strain-Based Structural Health Monitoring of Civil Structures focuses on the SHM of civil structures and infrastructure, and develops the relevant topics of measurement and data analysis from a fundamental to advanced level. The book contains an overview of the available and emerging strain monitoring technologies like traditional strain-gauges and vibrating wire sensors, discrete and distributed fiber optic sensors, and large area electronics. The fundamentals of error analysis, as well as typical sources of errors in measurements, are discussed. Sources of strain in typical construction materials such concrete, steel, timber, and composite materials are also discussed, while both basic and advanced data interpretation and analysis for monitoring of concrete and steel structures are presented in detail. Methods applicable to a large spectrum of beam-like structural elements and civil structures, such as bridges, buildings, and pipelines, are summarized. These methods are developed at three scales: local scale (material or structural), global (structural) scale, and integrity scale, and are illustrated with practical examples. Key features: Defines and describes SHM and identifies its main components and stakeholders. Explores the potential and benefits as well as the limitations of SHM. Introduces strain-based structural health monitoring of civil structures, with focus on measurement and data analysis. Covers the physical principles, advantages, and limitations of various types of sensors. Covers fundamental error analysis and presents typical sources of errors. Covers the sources of short- and long-term strain, and how to interpret the strain measurement. Includes basic and advanced model-based methods for data analysis. Contains the basic strain-based SHM methods for monitoring various types of structures at local, global, and integrity scale. Suitable as a guide for practicing engineers, a reference for infrastructure owners, and a textbook for researchers and SHM university courses. A valuable companion to Glisic & Inaudis Fibre Optic Methods for Structural Health Monitoring. Introduction to Strain-Based Structural Health Monitoring of Civil Structures is essential, state-of-the-art reading for civil and structural engineers and professionals in SHM, as well as teachers, researchers, and students in civil engineering. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9781118495353
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Hardcover. Etat : new. Hardcover. A comprehensive introduction to strain-based structural health monitoring of civil structures, with focus on measurement and data analysis Introduction to Strain-Based Structural Health Monitoring of Civil Structures focuses on the SHM of civil structures and infrastructure, and develops the relevant topics of measurement and data analysis from a fundamental to advanced level. The book contains an overview of the available and emerging strain monitoring technologies like traditional strain-gauges and vibrating wire sensors, discrete and distributed fiber optic sensors, and large area electronics. The fundamentals of error analysis, as well as typical sources of errors in measurements, are discussed. Sources of strain in typical construction materials such concrete, steel, timber, and composite materials are also discussed, while both basic and advanced data interpretation and analysis for monitoring of concrete and steel structures are presented in detail. Methods applicable to a large spectrum of beam-like structural elements and civil structures, such as bridges, buildings, and pipelines, are summarized. These methods are developed at three scales: local scale (material or structural), global (structural) scale, and integrity scale, and are illustrated with practical examples. Key features: Defines and describes SHM and identifies its main components and stakeholders. Explores the potential and benefits as well as the limitations of SHM. Introduces strain-based structural health monitoring of civil structures, with focus on measurement and data analysis. Covers the physical principles, advantages, and limitations of various types of sensors. Covers fundamental error analysis and presents typical sources of errors. Covers the sources of short- and long-term strain, and how to interpret the strain measurement. Includes basic and advanced model-based methods for data analysis. Contains the basic strain-based SHM methods for monitoring various types of structures at local, global, and integrity scale. Suitable as a guide for practicing engineers, a reference for infrastructure owners, and a textbook for researchers and SHM university courses. A valuable companion to Glisic & Inaudis Fibre Optic Methods for Structural Health Monitoring. Introduction to Strain-Based Structural Health Monitoring of Civil Structures is essential, state-of-the-art reading for civil and structural engineers and professionals in SHM, as well as teachers, researchers, and students in civil engineering. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781118495353
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