The Rise of Smart Cities

The Rise of Smart Cities

Advanced Structural Sensing and Monitoring Systems

1st Edition - April 12, 2022

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  • Editors: Amir Alavi, Maria Feng, Pengcheng Jiao, Zahra Sharif-Khodaei
  • eBook ISBN: 9780128177853

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Description

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 howthey 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 sensornetworks.

Key Features

  • Reviews the latest development in smart structural health monitoring (SHM) systems
  • Introduces all major algorithms, with a focus on practical implementation
  • Includes real-world applications and case studies
  • Opens up a new horizon for robust structural sensing methods and their applications in smart cities

Readership

Civil Engineers, Construction Engineers, Architects, and Mechanical Engineers

Table of Contents

  • 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

Product details

  • No. of pages: 696
  • Language: English
  • Copyright: © Butterworth-Heinemann 2022
  • Published: April 12, 2022
  • Imprint: Butterworth-Heinemann
  • eBook ISBN: 9780128177853

About the Editors

Amir Alavi

Dr. Amir H. Alavi is an Assistant Professor in the Department of Civil and Environmental Engineering, and holds a courtesy appointment in the Department of Bioengineering at the University of Pittsburgh. Prior to joining Pitt, Dr. Alavi was an Assistant Professor of Civil Engineering at the University of Missouri. Dr. Alavi’s research interests include structural health monitoring, smart civil infrastructure systems, deployment of advanced sensors, energy harvesting, and engineering information systems. At Pitt, his Intelligent Structural Monitoring and Response Testing (iSMaRT) Lab focuses on advancing the knowledge and technology required to create self-sustained and multifunctional sensing and monitoring systems that are enhanced by engineering system informatics. His research activities involve implementation of these smart systems in the fields of civil infrastructure, construction, aerospace, and biomedical engineering. Dr. Alavi has worked on research projects supported by Federal Highway Administration (FHWA), National Institutes of Health (NIH), National Science Foundation (NSF), Missouri DOT, and Michigan DOT. Dr. Alavi has authored five books and over 170 publications in archival journals, book chapters, and conference proceedings. He has received a number of award certificates for his journal articles. He is among the Google Scholar 200 Most Cited Authors in Civil Engineering, as well as Web of Science ESI's World Top 1% Scientific Minds. He has served as the editor/guest editor of several journals such as Sensors, Case Studies in Construction Material, Automation in Construction, Geoscience Frontiers, Smart Cities, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, and Advances in Mechanical Engineering.

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 earned his MSc and PhD degrees in Civil Engineering from West Virginia University and Michigan State University in 2012 and 2017, respectively. Prior to joining the Ocean College at Zhejiang University as Research Professor, Prof. Jiao was working as Research Associate in the Department of Mechanical Engineering and Applied Mechanics at University of Pennsylvania. Prof. Jiao’s areas of research interests include smart materials and structures, structural stability analysis and applications, structural health monitoring (SHM), energy harvesting, and multiscale solid mechanics. Particular interests are focused on: 1) conceptual development and investigation of structural components and systems to expand traditional utilities while exploring multi-functional features; and 2) deployment of advanced structures for novel energy harvesting and damage sensing techniques, which leads to a variety of novel applications within the areas of SHM and digital smart infrastructures.

Affiliations and Expertise

Zhejiang University, Hangzhou, 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

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