The Rise of Smart Cities

Erscheinungsjahr 2022
ISBN: 978-0-12-817784-6
Verlag: William Andrew Publishing

Buch, Englisch, 696 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 1110 g

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.

Zielgruppe

Civil Engineers, Construction Engineers, Architects, and Mechanical Engineers

Autoren/Hrsg.

Alavi, Amir Hossein

Feng, Maria

Jiao, Pengcheng

Sharif-Khodaei, Zahra

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Technische Wissenschaften Technik Allgemein Systems Engineering
• Geowissenschaften Geographie | Raumplanung Regional- & Raumplanung Stadtplanung, Kommunale Planung
• Geisteswissenschaften Architektur Städtebau, Stadtplanung (Architektur)

Inhaltsverzeichnis

1. Advanced sensing and monitoring systems for smart cities Amir H. Alavi, Maria Q. Feng, Pengcheng Jiao, and Zahra Sharif Khodaei

Part I - Smart materials for smart cities

2. Advanced multifunctional structures for future smart cities Amir H. Alavi, Qianyun Zhang, and Kaveh Barri

3. Impacts of metal additive manufacturing on smart city infrastructure Todd Michael

4. Graphene-reinforced cement composites for smart infrastructure systems Justine Schulte, Zhangfan Jiang, Ozer Sevim, and Osman E. Ozbulut

5. Role of acoustic metamaterials and phononic crystals in sensing and damage detection in solids Didem Ozevin and Serife Tol

6. Distributed surface sensing for structural health monitoring using smart textiles Tzuyang Yu

Part II Structural health monitoring techniques for smart cities

7. Using an accelerometer-based system for real-time structural monitoring and response prediction under extreme hazard loadings Iris Tien and Ajay Saini

8. Applications of computer vision-based structural health monitoring and condition assessment in future smart cities Tarutal Ghosh Mondal and Mohammad Reza Jahanshahi

9. On-board monitoring for smart assessment of railway infrastructure: A systematic review Cyprien Hoelzl, Vasilis Dertimanis, Matthias Landgraf, Lucian Ancu, Marcel Zurkirchen, and Eleni Chatzi

10. Mixed reality-assisted smart bridge inspection for future smart cities Enes Karaaslan, Mahta Zakaria, and F. Necati Catbas

11. Deep learning for vibration-based data-driven defect diagnosis of structural systems Hesheng Tang, Yajuan Xie, and Lingxiao Ran

12. Applications of depth sensing for advanced structural condition assessment in smart cities Tarutal Ghosh Mondal and Mohammad Reza Jahanshahi

13. Electrostatic micro-electro-mechanical system vibrational energy harvesters for bridge damage detection Kai-Chun Chang, Katsufumi Hashimoto, Hiroyuki Mitsuya, and Tomoki Shiotani

14. Smart bridge monitoring Sahar Hassani, Mohsen Mousavi, and Zahra Sharif-Khodaei

15. Dynamic bridge maintenance management in smart cities using routine inspection data and hazard modeling Gaowei Xu, Andrew Jardine, and Fae Azhari

16. Vision-based structural vibration measurement for smart structural health monitoring Shun Weng, Ke Gao, Junping Lin, and Hongping Zhu

17. Advances in corrosion monitoring of reinforced concrete using active and passive sensing approaches Rajeshwara Chary Sriramadasu, Ye Lu, Sauvik Banerjee and Srinivas Sriramula

18. Sensing systems for smart building occupant-centric operation Yiyi Chu and Kristen Cetin

19. Threats and vulnerabilities of wireless sensor networks in smart cities Muath A. Obaidat

Part III - Intelligent transportation systems/remote sensing in smart cities

20. Sensing and monitoring of smart transportation systems Shaurya Agarwal, Shakib Mustavee, Juan Contreras-Castillo, and Juan Guerrero-Ibanez

21. Ubiquitous sensing for smart cities with autonomous vehicles Xiaohui Liu and Wei Ma

22. Sensing and monitoring of urban roadway traffic state with large-scale ride-sourcing vehicles Shuocheng Guo, Xinwu Qian, Sagar Dasgupta, Mizanur Rahman, and Steven Jones

23. Leveraging data-driven traffic management in smart cities: Datasets for highway traffic monitoring Shoaib Mahmud and Christopher M. Day

24. A crowdsensing-based platform for transportation infrastructure monitoring and management in smart cities Nima Shirzad-Ghaleroudkhani, Qipei Mei, and Mustafa Gul

25. Advances in sustainable winter road maintenance and management for future smart cities Mingjian Wu, Tae J. Kwon, Liping Fu, and Andy H. Wong

Über Autor(innen)

Jiao, Pengcheng
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.

Alavi, Amir Hossein
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.

Sharif-Khodaei, Zahra
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.

Feng, Maria
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.