The Rise of Smart Cities

The Rise of Smart Cities

Advanced Structural Sensing and Monitoring Systems

1st Edition - April 1, 2022
  • Editors: Amir Alavi, Maria Feng, Pengcheng Jiao, Zahra Sharif-Khodaei
  • Paperback ISBN: 9780128177846

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Description

The Rise of Smart Cities: Advanced Structural Sensing and Monitoring Systems provide engineers and researchers with a guide to the latest breakthroughs in the deployment of smart monitoring technologies over the past three decades. The book introduces research engineers and engineering designers to the latest innovations in the area of advanced structural sensing systems and how they can be integrated into the planning and design of smart cities. Topics include complementary technological paradigms such as machine learning, big data analytics, cloud computing and Internet of Things (IoT) With this book in hand, researchers and design engineers will find a valuable reference in terms of civil infrastructure health monitoring, advanced computation, data mining, data fusion, and state-of-the-art nondestructive testing and evaluation (NDT&E) techniques.

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

  • 1. Smart City Architecture from a Sensing System Point of View
    2. The Evolution of Smart Structural Sensing and Monitoring Systems
    3. Enabling Technologies for Advanced Sensing and Monitoring Systems
    4. Platforms for Smart Sensing and Monitoring in Smart Cities
    5. Empowering the Next Generation Sensing and Monitoring Systems
    6. Integrating Cloud/Fog/Edge Computing Technologies into Smart Sensing and Monitoring Systems
    7. Smart Sensors for Intelligent Transportation Systems
    8. Crowdsourced Sensing in Smart and Connected Cities
    9. Machine Learning Algorithms for the Next Generation Smart Sensing and Monitoring Systems
    10. Review of Smart City Pilot Projects

Product details

  • No. of pages: 312
  • Language: English
  • Copyright: © Butterworth-Heinemann 2022
  • Published: April 1, 2022
  • Imprint: Butterworth-Heinemann
  • Paperback ISBN: 9780128177846

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