The Rise of Smart Cities

Advanced Structural Sensing and Monitoring Systems

1st Edition - April 12, 2022
Editors: Amir Hossein Alavi, Maria Feng, Pengcheng Jiao, Zahra Sharif-Khodaei
Language: English
Paperback ISBN:
9 7 8 - 0 - 1 2 - 8 1 7 7 8 4 - 6
eBook ISBN:
9 7 8 - 0 - 1 2 - 8 1 7 7 8 5 - 3

The Rise of Smart Cities: Advanced Structural Sensing and Monitoring Systems provides engineers and researchers with a guide to the latest breakthroughs in the deployment of sm… Read more

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The Rise of Smart Cities: Advanced Structural Sensing and Monitoring Systems provides engineers and researchers with a guide to the latest breakthroughs in the deployment of smart sensing and monitoring technologies. The book introduces readers to the latest innovations in the area of smart infrastructure-enabling technologies and how
they can be integrated into the planning and design of smart cities.

With this book in hand, readers will find a valuable reference in terms of civil infrastructure health monitoring, advanced sensor network architectures, smart sensing materials, multifunctional material and structures, crowdsourced/social sensing, remote sensing and aerial sensing, and advanced computation in sensor
networks.

Cover image
Title page
Table of Contents
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

Amir Hossein Alavi

Amir Hossein Alavi is an Assistant Professor in the Department of Civil and Environmental Engineering, and holds courtesy appointments in the Department of Bioengineering and Department of Mechanical Engineering and Materials Science, at the University of Pittsburgh, United States. His multidisciplinary scientific studies are organized around three research thrusts: 1) mechanics and electronics of multifunctional materials and structures, 2) embedded self-powered sensing systems, and 3) data-driven characterization, design and discovery of engineering systems.

Affiliations and expertise

Department of Civil and Environmental Engineering, Department of Bioengineering, University of Pittsburgh, Pittsburgh, USA

Maria Feng

Maria Q. Feng is a Professor in the Department of Civil Engineering and Engineering Mechanics, Director of the Sensing, Monitoring, and Robotics Technology (SMaRT) Lab, and a member of the Data Science Institute at Columbia University-NYC.

Affiliations and expertise

Professor, Department of Civil Engineering and Engineering Mechanics and Director, Sensing, Monitoring, and Robotics Technology (SMaRT) Lab, Columbia University, NY, USA

Pengcheng Jiao

Pengcheng Jiao is a research professor at Ocean College, Zhejiang University, China. His research topics are related to advanced structural materials and their applications in energy harvesting and sensing, with special focuses on mechanical metamaterials, triboelectric and piezoelectric nanogenerators, and soft robotics.

Affiliations and expertise

Zhejiang University, China

Zahra Sharif-Khodaei

Zahra Sharif Khodaei is a reader (Associate Professor) in structural integrity. She obtained her PhD from Czech Technical University in Prague in numerical modelling of functionally graded materials in 2008. Prior to her lectureship post in 2014, she was a research associate at Imperial College London, department of Aeronautics since 2009 where she conducted research in fatigue modelling and analysis of metallic and Fibre Metallic Laminates (FML) and more significantly in developments of technologies and methodologies for Structural Health Monitoring (SHM) of composite structures.

Affiliations and expertise

Faculty of Engineering, Department of Aeronautics, Imperial College London, UK