Introduction to Strain-Based Structural Health Monitoring of Civil Structures (eBook)

Branko Glisic (Autor)

eBook Download: EPUB

2024 | 1. Auflage
368 Seiten
Wiley (Verlag)
978-1-118-70031-0 (ISBN)

Infos

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 & Inaudi's 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.

Branko Glisic is an Assistant Professor of Civil and Environmental Engineering at Princeton University, USA. His main areas of interest are SHM methods, advanced sensory systems, smart structures, SHM data management, and sustainable engineering.

He was previously employed at SMARTEC SA, Switzerland, where he was involved in research and engineering in numerous structural health monitoring projects.

Textauszug

Acknowledgments

I would like to acknowledge and deeply thank numerous selfless individuals – students, colleagues, friends, and family members – as well as various institutions – professional associations, agencies, schools, and companies – whose availability, support, collaboration, professionalism, kindness, and patience, in one way or another, influenced the creation of this book.

First and foremost, I would like to thank my spouse, Tanja, and daughter, Lana, for their endless love, encouragement, understanding, and patience, without which I could never complete this book. I would also like to acknowledge my extended family in Serbia, Croatia, North Macedonia, and Sweden and all my friends for their continuous support, comprehension, kindness, and laughter, which made right ambience for this book to happen.

My career in Structural Health Monitoring (SHM) would probably not happen, and thus, probably, neither this book, without generous support, great mentorship, and dear friendship offered by Prof. Jean Claude Badoux, former President of the Swiss Federal Institute of Technology in Lausanne (EPFL); Prof. Leopold Pflug, my PhD adviser in the Laboratory of Stress Analysis (IMAC) at the EPFL; Nicoleta Casanova and Dr. Daniele Inaudi, the founders of SMARTEC, Switzerland, my former employer; and Princeton University, my current employer. The extraordinary intellectual vigor, exceptional collegiality, and highly professional yet relaxed settings at IMAC–EPFL, SMARTEC, and Princeton University, and in particular, at Princeton's Department of Civil and Environmental Engineering, resulted in a productive ambit for this book to germinate and grow.

I would like to make a very special thanks to the former and current members of my research group, SHMlab at Princeton University, i.e., undergraduate, graduate, and visiting students, as well as visiting scholars, whose work has been related to SHM and who have been essential in performing the research and realizing several applications shown in this book:

• Undergraduate students: George Lederman, Kenneth Liew, Jeremy Chen, Patrick Park, Tiffany Hwang, Julie Ditchfield, Prof. Anjali Mehrotra, Ellen Tung, Prof. Katherine Flanigan, Jose Alvrez, Matt Gerber, Jett Stearns, Rachel Marek, Corrie Kavanaugh, Anna Blyth, Mitchel Hallee, Camille Heubner, Elizabeth Keim, Yolanda Jin, Tessa Flanagan, Gabbie Acot, Jessica Chen, Maximilian Garlock, Melanie McCloy, Michaela Hennebury, Bryan Boyd, Anne Grinder, Tiffany Agyarko, and Daniel Trujillo.
• Graduate students: Dr. David Hubbel, Prof. Dorotea Sigurdardottir, Dr. Yao Yao, Dr. Hiba Abdel‐Jaber, Michael Roussel, Xi Li, Dr. Kaitlyn Kliewer, Dr. Jack Reilly, Prof. Rebecca Napolitano, Prof. Isabel Morris, Zeyu Xiong, Vanessa Notario, Dr. Vivek Kumar, Prof. Shengze Wang, Dr. Antti Valkonen, Mauricio Pereira, Moriah Hughes, Yitian Liang, and Kent Eng.
• Visiting students: Kai Oberste‐Ufer, Pedro Afonso Souza, Dr. Denise Bolognani, Dr. Carlo Cappello, and Dr. Daniel Tonelli.
• Visiting scholars: Prof. Pedro Calderon, Polytechnic University of Valencia, Spain; Prof. Marco Domaneschi, Polytechnic University of Turin, Italy; Prof. Byung Kwan Oh, Yonsei University, Korea; Prof. Antonio Maria D'Altri, University of Bologna, Italy; Prof. Daniele Zonta, University of Trento, Italy, and Prof. Hui Li, Harbin Institute of Technology, China.

Additional special thanks go to Prof. Daniele Zonta, University of Trento, Italy, and Prof. Jerome Lynch, Duke University, USA, for their enormous influence on my academic career and thinking and for being such great role models and dear friends.

Concepts and ideas developed in this book could not be generated without interactions, discussions, and friendship with many dear colleagues whose research, presentations, talks, workshops, and wisdom helped shaping ideas and advancing the field of SHM. Thus, in addition to all the abovementioned individuals, I would like to deeply thank (in no particular order) the following researchers:

• Prof. Billie Spencer Jr., University of Illinois, Urbana Champaign, USA
• Prof. Fu‐Kuo Chang, Stanford University
• Prof. Kenichi Soga, University of California, Berkeley, USA
• Prof. Hoon Sohn, KAIST, Korea
• Prof. Satish Nagarajaiah, Rice University, USA
• Prof. Raimondo Betti, Columbia University, USA
• Prof. Farhad Ansari, University of Illinois, Chicago, USA
• Prof. James Brownjohn, Exeter University, UK
• Prof. Neil Hoult, Queens University, Canada
• Prof. Wieslaw Ostachowicz, Polish Academy of Sciences, Poland
• Prof. Susan Taylor, Queen's University, Belfast, UK
• Prof. Kenneth Loh, University of California, San Diego, USA
• Prof. Yang Wang, Georgia Tech, USA
• Prof. Ming Wang, Northeastern University, USA
• Prof. Dionisio Bernal, Northeastern University, USA
• Prof. Genda Chen, University of Missouri S&T, Rolla, USA
• Prof. Nicos Makris, Southern Methodist University, USA
• Prof. Yi‐Qing Ni, The Hong Kong Polytechnic University, USA
• Prof. Kara Peters, North Carolina State University, USA
• Prof. Maria Feng, Columbia University, USA
• Prof. Aftab A. Mufti, University of Manitoba, USA
• Prof. Necati Catbas, University of Central Florida, USA
• Prof. Filippo Ubertini, Perugia, Italy
• Prof. Campbell Middleton, Cambridge University, UK
• Prof. Emin Aktan, Drexel University, USA
• Prof. Franklin Moon, Drexel University and Rutgers University, USA
• Prof. Matthew Yarnold, Auburn University, USA
• Prof. Ali Maher, Rutgers University (CAIT), USA
• Prof. Nenad Gucunski, Rutgers University (CAIT), USA
• Prof. Hani Nassif, Rutgers University, USA
• Prof. Thomas Schumacher, Portland State University, USA
• Prof. Simon Laflamme, Iowa State University, USA
• Prof. Mohammed Pour‐Ghaz, North Carolina State University, USA
• Prof. Rolands Kromanis, University of Twente, Netherlands
• Prof. Ian Smith, Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland
• Prof. Eugen Bruhwiler, Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland
• Prof. Eleni Chatzi, Swiss Federal Institute of Technology in Zurich (ETHZ), Switzerland
• Prof. Didem Ozevin, University of Illinois, Chicago, USA
• Prof. Maria Giuseppina Limongelli, Polytechnic University of Milan, Italy
• Prof. Bozidar Stojadinovic, Swiss Federal Institute of Technology in Zurich (ETHZ), Switzerland
• Prof. Austin Downey, University of South Carolina, USA
• Prof. Sigurd Wagner, Princeton University, USA
• Prof. James Sturm, Princeton University, USA
• Prof. Naveen Verma, Princeton University, USA
• Prof. Amir Gandomi, University of Technology Sydney, Australia
• Prof. Dryver Huston, University of Vermont, USA
• Prof. Ignacio Paya‐Zaforteza, Polytechnic University of Valencia, Spain
• Prof. Haeyoung Noh, Stanford University, USA
• Prof. Anne Kiremidjian, Stanford University, USA
• Prof. Armen Der Kiureghian, University of California, Berkeley, USA
• Dr. Alexis Mendez, MCH Engineering LLC, Alameda, CA, USA
• Prof. Tulio Nogueira Bittencourt, University of Sao Paolo, Brazil
• Prof. Werner Lienhart, Graz University of Technology, Austria
• Prof. Dan Frangopol, Lehigh University, USA
• Prof. Matteo Pozzi, Carnegie Mellon University, USA
• Prof. Piervincenzo Rizzo, University of Pittsburgh, USA
• Dr. Wolfgang Habel, BAM, Germany
• Prof. Zhishen Wu, Southeast University, China, and Ibaraki University, Japan
• Prof. Andrea Del Grosso, University of Genoa, Italy
• Prof. Tribikram Kundu, Arizona State University, USA
• Prof. Oral Buyukozturk, Massachusetts Institute of Technology, USA
• Prof. Admir Masic, Massachusetts Institute of Technology, USA
• Prof. Sebastian Thons, Lund University, Sweden
• Prof. Xin Feng, Dalian University of Technology, China
• Prof. Xuefeng Zhao, Dalian University of Technology, China
• Prof. Jeffrey Weidner, University of Texas, El Paso, USA

… and to anyone else who I may have omitted unintentionally.

Also, I would like to acknowledge professional associations that enabled networking and vibrant exchange of knowledge and experiences:

1. ISHMII – International Society for Structural Health Monitoring of Intelligent Infrastructure
2. IWSHM/EWSHM/APWSHM – International/European/Asia‐Pacific Workshops on Structural Health Monitoring
3. SPIE – International Society for Optics and Photonics
4. EMI – Engineering Mechanics Institute of American Society of Civil Engineers (ASCE)
5. ACI – American Concrete Institute
6. WCSCM – World Conference on Structural Control and Monitoring

… and, again, any other association that I may have omitted unintentionally.

I would like to greatly thank entire teams of SMARTEC, Switzerland, and Roctest Ltd., Canada, for their continuous and unselfish support, help, and friendship, which enabled many applications presented in this book. In addition, I would like to thank other SHM companies who helped with material in this book: RST Instruments, Canada; Telemac, France; Advantech Engineering Consortium, Taiwan; Newsteo, France; Micron Optics,...

Produkt-Details

• Erscheint lt. Verlag: 26.6.2024
• Sprache: englisch
• Themenwelt: Technik ► Maschinenbau
• ISBN-10: 1-118-70031-7 / 1118700317
• ISBN-13: 978-1-118-70031-0 / 9781118700310