About the Book
This book offers the use of artificial intelligence, image processing, model analysis, laser scanners, shearography, drones, contourlet, wavelet, signal processing techniques and other SHM techniques to detect the damages in the concrete as well as masonry structures. Corrosion is one major factor that causes reinforced concrete structures to deteriorate over time. However, the degrading process is not evenly distributed throughout the structure. The damage can be detected timely and the structure's degradation model can be updated with the help of proper monitoring and inspection techniques. The damages in the masonry structures may happen due to moisture ingress, cracking, mortar failure, settlement and spalling, etc. Structure health monitoring (SHM) may assist in understanding the structures deterioration mechanisms and reducing the ongoing deterioration in a scientific manner. A complete detail of both the traditional and cutting-edge approaches used in the SHM process is described in this book. The latest non-destructive techniques and semi-destructive techniques shall also be discussed in this book. This book aids academics and industry professionals with recent developments in SHM techniques. Additionally, it encourages researchers in coming up with creation of newer applications in structural engineering.
Table of Contents:
Chapter 1 Introduction to Damage Detection and Structural Health Monitoring.- Chapter 2 Damage Detection of Reinforced Concrete Structures.- Chapter 3 Masonry structure's Damage Detection.- Chapter 4 Conventional Methods of Damage Detection.- Chapter 5 Natural Frequencies and Frequency Response Functions.- Chapter 6 Acoustic Emission Tests.- Chapter 7 Model Analysis Based Techniques.- Chapter 8 Laser Scanners Database Analysis.- Chapter 9 Unmanned Aerial Vehicle for Damage.- Chapter 10 Shearography Tests.- Chapter 11 Role of Artificial Intelligence in Damage Detection.- Chapter 12 Signal ProcessingMethods.- Chapter 13 Image Processing Techniques.- Chapter 14 Role of Smart Materials in Damage Detection.- Chapter 15 Internet of Things (IoT) for Structural Health Monitoring.
About the Author :
Dr. Hashem Jahangir is an assistant professor in Civil Engineering Department of the University of Birjand, Iran. He completed his doctoral degree at the Ferdowsi University of Mashhad in 2018. His research interests are damage detection, structural health monitoring, structural retrofit, seismic analysis, applying AI and ML techniques.
Dr. Harish Chandra Arora is presently affiliated with CSIR-Central Building Research Institute, Roorkee, India, as Principal Scientist in the Structural Engineering Group. He obtained the Doctoral degree in structural engineering from the Indian Institute of Technology (IIT), Roorkee, India, in 2017. He has more than 28 years of R&D experience in the field of structural engineering. His research interests include distress diagnosis, repair and rehabilitation of corroded structures, structural analysis and design and retrofitting and strengthening of structures with FRP and FRCM. His research works have been credited in national as well as international journals. He has supervised more than 100 students for Bachelor of Technology and Masters of Technology programs and also supervised research scholars pursuing doctoral programs at the Central Building Research Institute, Roorkee, India.
Dr. J. V. Araujo dos Santos is professor of Mechanical Engineering at Instituto Superior Tecnico, University of Lisbon, Portugal and researcher at IDMEC – Instituto de Engenharia Mecanica. He has many publications in structural damage identification. His research interests are composite structures, structural dynamics, computational solid mechanics, structural optimization, and structural health monitoring.
Krishna Kumar (Senior Member, IEEE) is currently a researcher in the Department of Water Resources Engineering and the Center for Advanced Middle Eastern Studies at Lund University, Sweden. He did his bachelor's in Electronics and Communication Engineering from Govind Ballabh Pant Engineering College, Pauri Garhwal, Uttarakhand, India. He pursued his master’s in digital systems from Motilal Nehru National Institute of Technology, Allahabad, India, and received his Ph.D. degree from the Indian Institute of Technology Roorkee, India in 2006, 2012, and 2023, respectively.
He served as a postdoctoral research fellow at the School of Electrical & Electronics Engineering in the Rolls-Royce Corporate Lab, Nanyang Technological University, Singapore, from August 2023 to March 2024. Previously, he held the position of Senior Engineer Research at the Rolls-Royce @ NTU Corporate Lab, Singapore, from February 2023 to July 2023. Prior to that, he worked as an Assistant Engineer at UJVN Ltd. (A State Government PSU of Uttarakhand) from January 2013 to February 2023. His expertise includes the design, installation, commissioning, testing, and operation & maintenance of hydro, solar, and wind power plants.
Dr. Kumar has also served as an Assistant Professor/Lecturer on a term appointment basis at Kumaon Engineering College, Dwarahat, Uttarakhand; Bharat Institute of Technology, Meerut; and Uttaranchal Institute of Technology, Dehradun, for almost three years.
Furthermore, Dr. Kumar has published numerous research articles in reputed journals. He has also authored/edited many books with publishers such as Elsevier, Wiley, Taylor & Francis, Springer, and River Press.
His current research interests include Renewable Energy, Multiphase Machines, Electrical Equipment Health Monitoring Systems, AI/ML, and data science.
Aman Kumar hails from Bilaspur, Himachal Pradesh, India. He holds a Master of Engineering degree in Construction Technology and Management from the prestigious National Institute of Technical Teacher's Training and Research Institute in Chandigarh, India. His academic journey is underscored by a deep passion for various facets of civil engineering, including sustainability development, non-destructive testing, concrete technology, and strengthening techniques such as fiber-reinforced polymer and fiber-reinforced cementitious matrix. He is also deeply engaged in exploring corrosion protection techniques for structural design, as well as the cutting-edge domains of artificial intelligence and the Internet of Things. Now his focus is to solve complex structural engineering problems with machine learning as well as deep learning algorithms. Aman Kumar's dedication to the field is evident through his extensive research endeavors and comprehensive technical surveys. His scholarly pursuits have culminated in numerous research papers and book chapters, which have been featured in esteemed international scientific publications.
Dr. Nishant Raj Kapoor received his M.Tech. degree in construction technology and management from the NITTTR, Bhopal, India. At present, he is pursuing Ph.D. degree in engineering sciences with the CSIR-CBRI, Roorkee. His research interests include built environment, COVID-19, indoor human comfort, IEQ, comfort perceptions, building energy efficiency, AI, ML, environmental engineering, etc.
