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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 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.

  • 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

1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iii 6. Contributors - p. xix 7. Chapter 1. Advanced sensing and monitoring systems for smart cities - p. 1 8. Part I: Smart materials for smart cities - p. 26 9. Chapter 2. Advanced multifunctional structures for future smart cities - p. 29 10. Chapter 3. Impacts of metal additive manufacturing on smart city infrastructure - p. 53 11. Chapter 4. Graphene-reinforced cement composites for smart infrastructure systems - p. 79 12. Chapter 5. Role of acoustic metamaterials and phononic crystals in sensing and damage detection in solids - p. 115 13. Chapter 6. Distributed surface sensing for structural health monitoring using smart textiles - p. 139 14. Part II: Structural health monitoring techniques for smart cities - p. 163 15. Chapter 7. Using an accelerometer-based system for real-time structural monitoring and response prediction under extreme hazard loadings - p. 167 16. Chapter 8. Applications of computer vision-based structural health monitoring and condition assessment in future smart cities - p. 193 17. Chapter 9. On-board monitoring for smart assessment of railway infrastructure: A systematic review - p. 223 18. Chapter 10. Mixed reality-assisted smart bridge inspection for future smart cities - p. 261 19. Chapter 11. Deep learning for vibration-based data-driven defect diagnosis of structural systems - p. 281 20. Chapter 12. Applications of depth sensing for advanced structural condition assessment in smart cities - p. 305 21. Chapter 13. Electrostatic micro-electro-mechanical system vibrational energy harvesters for bridge damage detection - p. 319 22. Chapter 14. Smart bridge monitoring - p. 346 23. Chapter 15. Dynamic bridge maintenance management in smart cities using routine inspection data and hazard modeling - p. 373 24. Chapter 16. Vision-based structural vibration measurement for smart structural health monitoring - p. 383 25. Chapter 17. Advances in corrosion monitoring of reinforced concrete using active and passive sensing approaches - p. 407 26. Chapter 18. Sensing systems for smart building occupant-centric operation - p. 431 27. Chapter 19. Threats and vulnerabilities of wireless sensor networks in smart cities - p. 463 28. Part III: Intelligent transportation systems/remote sensing in smart cities - p. 491 29. Chapter 20. Sensing and monitoring of smart transportation systems - p. 495 30. Chapter 21. Ubiquitous sensing for smart cities with autonomous vehicles - p. 523 31. Chapter 22. Sensing and monitoring of urban roadway traffic state with large-scale ride-sourcing vehicles - p. 551 32. Chapter 23. Leveraging data-driven traffic management in smart cities: Datasets for highway traffic monitoring - p. 583 33. Chapter 24. A crowdsensing-based platform for transportation infrastructure monitoring and management in smart cities - p. 609 34. Chapter 25. Advances in sustainable winter road maintenance and management for future smart cities - p. 625 35. Index - p. 661

Descripcion
Descripción

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.

  • 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

1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iii 6. Contributors - p. xix 7. Chapter 1. Advanced sensing and monitoring systems for smart cities - p. 1 8. Part I: Smart materials for smart cities - p. 26 9. Chapter 2. Advanced multifunctional structures for future smart cities - p. 29 10. Chapter 3. Impacts of metal additive manufacturing on smart city infrastructure - p. 53 11. Chapter 4. Graphene-reinforced cement composites for smart infrastructure systems - p. 79 12. Chapter 5. Role of acoustic metamaterials and phononic crystals in sensing and damage detection in solids - p. 115 13. Chapter 6. Distributed surface sensing for structural health monitoring using smart textiles - p. 139 14. Part II: Structural health monitoring techniques for smart cities - p. 163 15. Chapter 7. Using an accelerometer-based system for real-time structural monitoring and response prediction under extreme hazard loadings - p. 167 16. Chapter 8. Applications of computer vision-based structural health monitoring and condition assessment in future smart cities - p. 193 17. Chapter 9. On-board monitoring for smart assessment of railway infrastructure: A systematic review - p. 223 18. Chapter 10. Mixed reality-assisted smart bridge inspection for future smart cities - p. 261 19. Chapter 11. Deep learning for vibration-based data-driven defect diagnosis of structural systems - p. 281 20. Chapter 12. Applications of depth sensing for advanced structural condition assessment in smart cities - p. 305 21. Chapter 13. Electrostatic micro-electro-mechanical system vibrational energy harvesters for bridge damage detection - p. 319 22. Chapter 14. Smart bridge monitoring - p. 346 23. Chapter 15. Dynamic bridge maintenance management in smart cities using routine inspection data and hazard modeling - p. 373 24. Chapter 16. Vision-based structural vibration measurement for smart structural health monitoring - p. 383 25. Chapter 17. Advances in corrosion monitoring of reinforced concrete using active and passive sensing approaches - p. 407 26. Chapter 18. Sensing systems for smart building occupant-centric operation - p. 431 27. Chapter 19. Threats and vulnerabilities of wireless sensor networks in smart cities - p. 463 28. Part III: Intelligent transportation systems/remote sensing in smart cities - p. 491 29. Chapter 20. Sensing and monitoring of smart transportation systems - p. 495 30. Chapter 21. Ubiquitous sensing for smart cities with autonomous vehicles - p. 523 31. Chapter 22. Sensing and monitoring of urban roadway traffic state with large-scale ride-sourcing vehicles - p. 551 32. Chapter 23. Leveraging data-driven traffic management in smart cities: Datasets for highway traffic monitoring - p. 583 33. Chapter 24. A crowdsensing-based platform for transportation infrastructure monitoring and management in smart cities - p. 609 34. Chapter 25. Advances in sustainable winter road maintenance and management for future smart cities - p. 625 35. Index - p. 661

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