Condition Monitoring and Structural Health Monitoring of Infrastructure Systems
Published on 5. December 2025
Book
Paperback/Softback
888 pages
978-0-443-38315-1 (ISBN)
Description
Condition Monitoring and Structural Health Monitoring of Infrastructure Systems presents important developments in this field whilst focusing on specific areas such as bridges, buildings, industrial facilities, dams and hydraulic structures, pipelines, and power generation/transmission systems, to provide the reader with a focused insight into CM/SHM in these areas. The book provides both details of the technologies and applications with a focus on infrastructure components and systems. Given its specific focus on areas of infrastructure it will help researchers, designers, and practitioners in assessing the current state-of-the-art and in the identification of problems/challenges as well as to provide a focus of the "how to" so that they can get ahead in their research/application. It will assist the researcher, practitioner, and engineer in solving the issues of assessment and design which are critically needed as well as those of diagnosis and prognosis of the condition of a structure/system moving away from the inefficient time-based inspection system to a more efficient condition-based one. Written for a wide variety of audience, this book will cover different technologies, sensors, and analysis methods with a view towards application to ensure that the reader gets an integrated overview and in-depth knowledge of the subject.
More details
Series
Language
English
Place of publication
United States
Publishing group
Elsevier - Health Sciences Division
Target group
Professional and scholarly
Dimensions
Height: 229 mm
Width: 152 mm
Weight
1000 gr
ISBN-13
978-0-443-38315-1 (9780443383151)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Vistasp M. Karbhari | Farhad Ansari
Condition Monitoring and Structural Health Monitoring of Infrastructure Systems
E-Book
11/2025
Elsevier
€331.99
Available for download
Persons
Dr. Vistasp Karbhari is a Professor in the Departments of Civil Engineering, and Mechanical & Aerospace Engineering at the University of Texas at Arlington where he served as the 8th President. An internationally reputed researcher, Dr. Karbhari is an expert in the processing and mechanics of composites, durability of materials, infrastructure rehabilitation, and multi-threat mitigation and has authored/coauthored over 460 papers in journals and conference publications and is the editor/co-editor of 6 books. He is a fellow of the American Association for the Advancement of Science (AAAS); the National Academy of Inventors (NAI); ASM International; the International Institute for Fiber-reinforced Polymers in Construction; the International Society for Structural Health Monitoring of Intelligent Infrastructure; the American Society of Civil Engineers; and the ASCE's Structural Engineering Institute, and is a member of the European Academy of Sciences and Arts. Dr Farhad Ansari is Professor and Head of Civil and Materials Engineering at the University of Illinois at Chicago, USA.
Content
Part I: Condition Monitoring - An Introduction
1. Condition Health Monitoring - a Means to Optimal Design and Use
2. Considerations for SHM and CM - an Overview
3. Safety During Construction of Infrastructure
4. CM - applications and data analysis
Part II: Application to Bridge Structures and Systems
5. SHM of Historic Bridges
6. SHM for Wind Induced Vibration of Bridges
7. SHM and Load Testing of Bridges
8. Non-contact SHM of bridge system
9. Prognostic CM of Bridge Systems Part III: Application to Buildings and Industrial Facilities
10. Advanced SHM Technologies for noncontact sensing
11. SHM of Historic Buildings
12. SHM for Buildings - State of the Art
Part IV: Application to Dams and Hydraulic Structures
13. SHM of Dams through UAV Photogrammetry
14. UAV based SHM of Dams and Hydraulic Structures
15. SHM based early detection of erosion in dams
16. SHM for geotechnical monitoring
Part V: Applications to Pipelines
17. Robotic monitoring of pipeline systems
18. Distributed Fiber Optic Sensing Fabric for Pipeline SHM
19. TBD
20. TBD
Part VI: Application to Power Generation and Transmission Systems
21. SHM for Wind Turbines
22. Use of Statistical Pattern Recognition for SHM/CM of Wind Turbines
23. SHM of Utility Poles
24. CM of Transmission Infrastructure
Part VII: Application to Offshore and Marine Structures and Navigational Waterways
25. SHM of Offshore Platforms
26. Offshore platform monitoring Experiments and field implementation
27. Machine Learning Methods for inland waterways navigation corridor
28. SHM of Navigational Infrastructure
Part VIII: Future Outlooks
29. Visualization of SHM Using IoT and BIM
30. CM as a Design Imperative
31. The future of SHM and CM with digital twins
1. Condition Health Monitoring - a Means to Optimal Design and Use
2. Considerations for SHM and CM - an Overview
3. Safety During Construction of Infrastructure
4. CM - applications and data analysis
Part II: Application to Bridge Structures and Systems
5. SHM of Historic Bridges
6. SHM for Wind Induced Vibration of Bridges
7. SHM and Load Testing of Bridges
8. Non-contact SHM of bridge system
9. Prognostic CM of Bridge Systems Part III: Application to Buildings and Industrial Facilities
10. Advanced SHM Technologies for noncontact sensing
11. SHM of Historic Buildings
12. SHM for Buildings - State of the Art
Part IV: Application to Dams and Hydraulic Structures
13. SHM of Dams through UAV Photogrammetry
14. UAV based SHM of Dams and Hydraulic Structures
15. SHM based early detection of erosion in dams
16. SHM for geotechnical monitoring
Part V: Applications to Pipelines
17. Robotic monitoring of pipeline systems
18. Distributed Fiber Optic Sensing Fabric for Pipeline SHM
19. TBD
20. TBD
Part VI: Application to Power Generation and Transmission Systems
21. SHM for Wind Turbines
22. Use of Statistical Pattern Recognition for SHM/CM of Wind Turbines
23. SHM of Utility Poles
24. CM of Transmission Infrastructure
Part VII: Application to Offshore and Marine Structures and Navigational Waterways
25. SHM of Offshore Platforms
26. Offshore platform monitoring Experiments and field implementation
27. Machine Learning Methods for inland waterways navigation corridor
28. SHM of Navigational Infrastructure
Part VIII: Future Outlooks
29. Visualization of SHM Using IoT and BIM
30. CM as a Design Imperative
31. The future of SHM and CM with digital twins