Table of Contents
Cover image
Title page
Copyright
Contributors
Chapter 1: Advanced sensing and monitoring systems for smart cities
Abstract
1: Introduction
2: Smart sensing and monitoring technologies
3: Sensing data transmission in smart cities
4: Smart and multifunctional materials in smart cities
5: Data analytics in smart cities
6: Early warning systems in smart cities
7: Automated aerial sensing and monitoring systems in smart cities
8: Challenges and future trends
9: Conclusions
References
Part I: Smart materials for smart cities
Chapter 2: Advanced multifunctional structures for future smart cities
Abstract
1: Introduction
2: Multifunctional materials
3: Multifunctional structures
4: Multifunctional structures for smart civil infrastructure systems
5: Conclusions
References
Chapter 3: Impacts of metal additive manufacturing on smart city infrastructure
Abstract Acknowledgments
1: Additive manufacturing overview
2: MAM smart city integration
3: Challenges associated with MAM
4: Structured light monitoring for MAM
5: Conclusion
References
Chapter 4: Graphene-reinforced cement composites for smart infrastructure systems
Abstract
1: Introduction
2: Graphene-based nanomaterials
3: Dispersion of graphene-based nanomaterials into cement composites
4: Electrical and self-sensing characterization of cement composites
5: Graphene-reinforced self-sensing cement composites for smart infrastructure applications
6: Conclusions and outlook
References
Chapter 5: Role of acoustic metamaterials and phononic crystals in sensing and damage detection in solids
Abstract
Acknowledgments
1: Introduction
2: Properties of phononic crystals for nondestructive evaluation methods
3: Applications of phononic crystals to alter ultrasonic waves
4: Applications of phononic crystals to enhance acoustic emission
5: The enhancement of electromagnetic wave-based NDE with metamaterial lens
6: Ultrasonic image enhancement with metamaterials
7: Summary and future directions
References
Chapter 6: Distributed surface sensing for structural health monitoring using smart textiles
Abstract
Acknowledgments
1: Introduction
2: Theoretical background
3: SHM of pipeline structures using distributed surface strains
4: Smart textiles for surface strain sensing
5: Comparison with other sensing modes in SHM for smart cities
6: Conclusions
References
Part II: Structural health monitoring techniques for smart cities
Chapter 7: Using an accelerometer-based system for real-time structural monitoring and response prediction under extreme hazard loadings
Abstract
1: Introduction
2: Background and related work
3: Methodology
4: Results
5: Conclusions References
Chapter 8: Applications of computer vision-based structural health monitoring and condition assessment in future smart cities
Abstract
1: Introduction
2: Condition assessment at local level
3: Condition assessment at global level
4: Current challenges and roadmap for future research
5: Conclusions
References
Chapter 9: On-board monitoring for smart assessment of railway infrastructure: A systematic review
Abstract
Acknowledgments
1: Introduction
2: Track infrastructure components and condition
3: Condition monitoring in railways
4: Vehicle-track interaction
5: Parametric methods
6: Nonparametric methods
7: Classification and outlier analysis
8: Conclusion References
Chapter 10: Mixed reality-assisted smart bridge inspection for future smart cities
Abstract
Acknowledgments
1: Introduction
2: Current practices with advanced methods
3: Human-centered approach with mixed reality
4: Real-time machine learning using semisupervised data
5: Using the real-time inspection data for bridge assessment
6: Concluding remarks
References
Chapter 11: Deep learning for vibration-based data-driven defect diagnosis of structural systems
Abstract Acknowledgments
1: Introduction
2: Methodology
3: Experimental and numerical simulation case study
4: Results and discussion
5: Conslusions
References
Chapter 12: Applications of depth sensing for advanced structural condition assessment in smart cities
Abstract
1: Introduction
2: Depth-sensing modalities
3: State-of-the-art depth sensors
4: Applications of RGB-D sensing
5: Conclusions and future work
References
Chapter 13: Electrostatic micro-electro-mechanical system vibrational energy harvesters for bridge damage detection
Abstract
Acknowledgments
1: Introduction
2: MEMS vibrational energy harvester
3: Case studies and discussions
4: Concluding remarks
References
Chapter 14: Smart bridge monitoring
Abstract
1: Introduction
2: Structural health monitoring
3: Advanced sensing technologies
4: Advanced damage detection algorithms
5: The future trends in bridge health monitoring
6: Conclusions
References
Chapter 15: Dynamic bridge maintenance management in smart cities using routine inspection data and hazard modeling
Abstract
1: Introduction
2: Compound states
3: Weibull proportional hazard model (WPHM)
4: Decision-making process
5: Summary and concluding remarks
References
Chapter 16: Vision-based structural vibration measurement for smart structural health monitoring
Abstract Acknowledgment
1: Introduction
2: Framework of the displacement measurement using machine vision
3: Simplified calibration of the camera
4: Tracking of the feature points
5: Identification of structural modal parameters
6: Experimental validation
7: Conclusion References
Chapter 17: Advances in corrosion monitoring of reinforced concrete using active and passive sensing approaches
Abstract Acknowledgment
1: Introduction
2: Deterioration of reinforced concrete structures
3: Experimental and numerical simulation of corrosion
4: Guided waves for monitoring rebar corrosion
5: Acoustic emission monitoring of corrosion-induced damage
6: Future directions
7: Conclusions References
Chapter 18: Sensing systems for smart building occupant-centric operation
Abstract
Acknowledgments
1: Introduction
2: Occupant presence and counting sensing technologies
3: Reliability evaluation
4: Ease of commissioning evaluation
5: Energy energy-saving evaluation
6: Occupancy sensor applications in smart cities
7: Conclusions References
Chapter 19: Threats and vulnerabilities of wireless sensor networks in smart cities
Abstract
1: Introduction
2: Progress and challenges
3: Contribution
4: Part I Wireless sensor networks
5: Part II. Smart cities
6: Conclusions
References
Part III: Intelligent transportation systems/remote sensing in smart cities
Chapter 20: Sensing and monitoring of smart transportation systems
Abstract
1: Introduction
2: Stationary sensors
3: Mobile sensors
4: Intelligent vehicle sensing
5: Traffic state estimation
6: Transportation cyber-physical systems
7: Conclusion References
Chapter 21: Ubiquitous sensing for smart cities with autonomous vehicles
Abstract
1: Introduction
2: Overview of AVs
3: Ubiquitous sensing
4: Opportunities and challenges
5: Conclusions
References
Chapter 22: Sensing and monitoring of urban roadway traffic state with large-scale ride-sourcing vehicles
Abstract
Acknowledgments
1: Introduction
2: Literature
3: Data
4: Measuring the sensing level
5: Cloud-supported transportation cyber-physical systems (CTCPS) for RV
6: Results
7: Conclusions
References
Chapter 23: Leveraging data-driven traffic management in smart cities: Datasets for highway traffic monitoring
Abstract
1: Introduction
2: Pavement management systems
3: Vehicle counting and annual average daily traffic
4: Early speed and travel time measurements
5: Data from physical sensors
6: Tracking vehicle movement
7: The vehicle as a sensing device
8: Conclusions
References
Chapter 24: A crowdsensing-based platform for transportation infrastructure monitoring and management in smart cities
Abstract Acknowledgment
1: Overview
2: Platform
3: Discussion
4: Conclusions
References
Chapter 25: Advances in sustainable winter road maintenance and management for future smart cities
Abstract
1: Introduction
2: Road weather information system
3: Methods for estimating winter road surface conditions
4: Winter road surface conditions estimation—A case study
5: Concluding remarks
References
Index
Copyright
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Contributors
Numbers in paraentheses indicate the pages on which the authors' contributions begin.
Shaurya Agarwal University of Central Florida, Orlando, FL, United States
Amir H. Alavi Department of Civil and Environmental Engineering, University of Pi sburgh, Pi sburgh, PA, United States
Lucian Ancu Swiss Federal Railways (SBB) MUD, Bern, Swi erland
Fae Azhari Department of Mechanical & Industrial Engineering, University of Toronto, Toronto, ON, Canada
Sauvik Banerjee Department of Civil Engineering, Indian Institute of Technology Bombay, Mumbai, India
Kaveh Barri Department of Civil and Environmental Engineering, University of Pi sburgh, Pi sburgh, PA, United States
F. Necati Catbas Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, United States
Kristen Cetin Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI, United States
Kai-Chun Chang Department of Civil and Earth Resources Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan
Eleni Cha i Department of Civil, Environmental and Geomatic Engineering, ETH Zürich, Zürich, Swi erland
Yiyi Chu Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI, United States
Juan Contreras-Castillo University of Colima, Colima, Mexico
Sagar Dasgupta Department of Civil, Construction and Environmental Engineering, The University of Alabama, Tuscaloosa, AL, United States
Christopher M. Day Iowa State University, Ames, IA, United States
Vasilis Dertimanis Department of Civil, Environmental and Geomatic Engineering, ETH Zürich, Zürich, Swi erland
Maria Q. Feng Department of Civil Engineering and Engineering Mechanics, Columbia University, New York, NY, United States
Liping Fu Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, ON, Canada
Ke Gao
School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology
Key Laboratory of Control Structure in Hubei Province, Wuhan, People’s Republic of China
Juan Guerrero-Ibañez University of Colima, Colima, Mexico
Mustafa Gül Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB, Canada
Shuocheng Guo Department of Civil, Construction and Environmental Engineering, The University of Alabama, Tuscaloosa, AL, United States
Katsufumi Hashimoto Division of Civil Engineering, Hokkaido University, Sapporo, Japan
Sahar Hassani Faculty of Engineering, Department of Civil Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
Cyprien Hoelzl
Department of Civil, Environmental and Geomatic Engineering, ETH Zürich, Zürich
Swiss Federal Railways (SBB) MUD, Bern, Swi erland
Mohammad Reza Jahanshahi
Lyles School of Civil Engineering
School of Electrical and Computer Engineering, Purdue University, West Lafaye e, IN, United States
Andrew Jardine Department of Mechanical & Industrial Engineering, University of Toronto, Toronto, ON, Canada
Zhangfan Jiang Department of Engineering Systems and Environment, University of Virginia, Charlo esville, VA, United States
Pengcheng Jiao Institute of Port, Coastal and Offshore Engineering, Ocean College, Zhejiang University, Zhoushan, Zhejiang, China
Steven Jones Department of Civil, Construction and Environmental Engineering, The University of Alabama, Tuscaloosa, AL, United States
Enes Karaaslan Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, United States
Tae J. Kwon Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB, Canada
Ma hias Landgraf Institute of Railway Engineering and Transport Economy, TU Graz, Graz, Austria
Junping Lin
School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology
Key Laboratory of Control Structure in Hubei Province, Wuhan, People’s Republic of China
Xiaohui Liu Department of Information Systems and Analytics, National University of Singapore, Singapore, Singapore
Ye Lu Department of Civil Engineering, Monash University, Clayton, VIC, Australia
Wei Ma Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, People’s Republic of China
Shoaib Mahmud Iowa State University, Ames, IA, United States
Qipei Mei Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB, Canada
Todd Michael Structural Engineering, University of California San Diego, La Jolla, CA, United States
Hiroyuki Mitsuya R&D Center, Saginomiya Seisakusho, Inc., Saitama, Japan
Tarutal Ghosh Mondal Lyles School of Civil Engineering, Purdue University, West Lafaye e, IN, United States
Mohsen Mousavi Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW, Australia
Shakib Mustavee University of Central Florida, Orlando, FL, United States
Muath A. Obaidat Computer Science, City University of New York, New York, NY, United States
Niall O'Dowd Structural Engineering, University of California San Diego, La Jolla, CA, United States
Osman E. Ozbulut Department of Engineering Systems and Environment, University of Virginia, Charlo esville, VA, United States
Didem Ozevin University of Illinois at Chicago, Chicago, IL, United States
Xinwu Qian Department of Civil, Construction and Environmental Engineering, The University of Alabama, Tuscaloosa, AL, United States
Mizanur Rahman Department of Civil, Construction and Environmental Engineering, The University of Alabama, Tuscaloosa, AL, United States
Lingxiao Ran Department of Disaster Mitigation for Structures, College of Civil Engineering, Tongji University, Shanghai, People’s Republic of China
Ajay Saini School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, United States
Justine Schulte Department of Engineering Systems and Environment, University of Virginia, Charlo esville, VA, United States
Ozer Sevim
Department of Engineering Systems and Environment, University of Virginia, Charlo esville, VA, United States
Department of Civil Engineering, Kırıkkale University, Kırıkkale, Turkey
Zahra Sharif-Khodaei Department of Aeronautics, Imperial College London, London, United Kingdom
Tomoki Shiotani Department of Civil and Earth Resources Engineering, Graduate School of Engineering, Kyoto University, Kyoto, Japan
Nima Shirzad-Ghaleroudkhani Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB, Canada
Rajeshwara Chary Sriramadasu National Decommissioning Centre
School of Engineering, University of Aberdeen, Aberdeen, United Kingdom
Srinivas Sriramula School of Engineering, University of Aberdeen, Aberdeen, United Kingdom
Hesheng Tang Department of Disaster Mitigation for Structures, College of Civil Engineering, Tongji University, Shanghai, People’s Republic of China
Iris Tien School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, United States
Serife Tol University of Michigan, Ann Arbor, MI, United States
Shun Weng
School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology
Key Laboratory of Control Structure in Hubei Province, Wuhan, People’s Republic of China
Andy H. Wong Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB, Canada
Mingjian Wu Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB, Canada
Yajuan Xie Department of Disaster Mitigation for Structures, College of Civil Engineering, Tongji University, Shanghai, People’s Republic of China
Gaowei Xu Department of Mechanical & Industrial Engineering, University of Toronto, Toronto, ON, Canada
Tzuyang Yu Department of Civil and Environmental Engineering, University of Massachuse s Lowell, Lowell, MA, United States
Mahta Zakaria Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL, United States
