Artificial Intelligence Applications for Sustainable Construction presents the latest developments in AI and ML technologies applied to real-world civil engineering concerns. With an increasing amount of attention on the environmental impact of every industry, more construction projects are going to require sustainable construction practices. This volume offers research evidence, simulation results, and case studies to support this change. Sustainable construction, in fact, not only uses renewable and recyclable materials when building new structures or repairing deteriorating ones, but also adopts all possible methods to reduce energy consumption and waste.
The concisely written but comprehensive, practical knowledge put forward by this international group of highly specialized editors and contributors will prove to be beneficial to engineering students and professionals alike.
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Table of Contents
1. Artificial Intelligence in Civil Engineering: An Immersive View2. Application of Artificial Intelligence in Sustainable Construction: Secret Eye towards Latest Civil Engineering Techniques
3. Machine Learning (ML) in Sustainable Composite Building Materials to Reduce Carbon Emission
4. Application of Machine Learning Models for the Compressive Strength Prediction of Concrete with Glass Waste Powder
5. AI-based Structural Health Monitoring Systems
6. Application of Ensemble Learning in Rock Mass Rating for Tunnel Construction
7. AI-based Framework for Construction 4.0: A Case Study for Structural Health Monitoring
8. Practical Prediction of Ultimate Axial Strain and Peak Axial Stress of FRP-Confined Concrete using Hybrid ANFIS-PSO Models
9. Prediction of Long-Term Dynamic Responses of a Heritage Masonry Building under Thermal Effects by Automated Kernel-Based Regression Modeling
10. A Comprehensive Review on Application of Artificial Intelligence in Construction Management using Science Mapping Approach
11. Textile Reinforced Mortar-Masonry Bond Strength Calibration Using Machine Learning Methods
12. Forecasting the compressive strength of FRCM-strengthened RC columns with Machine learning algorithms
13. Assessment of Shear Capacity of FRP-Reinforced Concrete Beam Without Stirrup: Machine Learning Approach
14. Estimating the Load Carrying Capacity of Reinforced Concrete Beam-Column Joints via Soft Computing Techniques
15. Global Seismic Damage Assessment of RC Framed Buildings using Machine Learning Techniques
Authors
Moncef L. Nehdi Dean, College of Engineering and Physical Sciences, University of Guelph, Guelph, ON Canada.Dr. Nehdi joined the University of Guelph as Dean, College of Engineering and Physical Sciences (CEPS) in September 2024. An experienced academic leader, Nehdi served as Chair of the Department of Civil Engineering, McMaster University. Prior, Nehdi was a Professor in the Department of Civil and Environmental Engineering at Western University from 2007 to 2021. Nehdi is an award-winning researcher and educator in sustainable civil engineering, particularly cement and concrete research, sustainable construction and the application of AI in materials and structures research. He has written more than 500 research publications and was listed by Elsevier and the Shanghai Global Ranking in the world's most impactful civil engineers. Nehdi received his B.A.Sc. from Laval University and M.A.Sc. from Sherbrooke University, and holds a PhD from the University of British Columbia, all in civil engineering. He is a fellow of the Canadian Academy of Engineering, the Engineering Institute of Canada, the American Concrete Institute, the Canadian Society for Civil Engineering, and the Asia Pacific Artificial Intelligence Association.
Harish Chandra Arora Principal Scientist, Dept. of Structural Engineering, CSIR-Central Building Research Institute, Roorkee, Uttarakhand, India; Associate Professor, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, India.Dr. Harish Chandra Arora currently holds the esteemed position of Principal Scientist in the Structural Engineering Group at CSIR-Central Building Research Institute in Roorkee, India. With a distinguished career spanning more than 29 years, Dr. Arora is a renowned figure in the field of structural engineering. Dr. Arora is also functioning as an Associate Professor in the Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India. His contemporary research areas include structural composites, structural corrosion, distress diagnosis, seismic evaluation, repair and retrofitting of structures and machine learning applications in structural engineering, etc. Dr. Arora's exceptional contributions to the field have garnered recognition in both national and international academic journals. Beyond his scholarly achievements, he has made a significant impact on the education and development of future engineers, having supervised and guided over 100� students in their pursuit of bachelor of technology and master of technology degrees. Additionally, he continues to mentor and support research scholars pursuing doctoral programs at the Central Building Research Institute in Roorkee, India.
Furthermore, Dr. Arora actively contributes to the scholarly community as a reviewer for journals published by Springer Nature and Elsevier. His commitment to maintain the quality and rigor of academic publications is highly regarded. Beyond his academic pursuits, Dr. Arora has undertaken numerous consultancy and research and development projects within the field of structural engineering, further showing his dedication to advancing the science and practice of sustainable construction.
Krishna Kumar Research and Development Engineer, UJVN Ltd. (A Govt. of Uttarakhand Enterprises), India.Dr. Krishna Kumar received his BE degree in Electronics and Communication Engineering from Govind Ballabh Pant Engineering College, Pauri Garhwal, Uttarakhand, India, MTech degree in Digital Systems from Motilal Nehru NIT, Allahabad, India, in 2006 and 2012, respectively, and PhD degree in the Department of Hydro and Renewable Energy at the Indian Institute of Technology Roorkee, India, in 2023.
He is currently working as an Assistant Engineer at UJVN Ltd. (a State Government PSU of Uttarakhand) since January 2013. Before joining UJVNL, he worked as an Assistant Professor at BTKIT, Dwarahat (a Government of Uttarakhand Institution). He has published numerous research papers in international journals and conferences, including IEEE, Elsevier, Springer, MDPI, Hindawi, and Wiley. He has also edited and written books for Taylor & Francis, Elsevier, Springer, River Press, and Wiley. His current research interests include IoT, AI, and renewable energy.
Robertas Damasevicius Professor, Department of Software Engineering, Kaunas University of Technology, Kaunas, Lithuania.Prof. Robertas Damasevicius received his PhD degree in Informatics Engineering from the Kaunas University of Technology, Lithuania, in 2005. He is currently a Professor in the Department of Applied Informatics, Vytautas Magnus University, Lithuania, and the Department of Software Engineering, Kaunas University of Technology, Lithuania, as well as an Adjunct Professor at the Faculty of Applied Mathematics, Silesian University of Technology (Poland). He lectures courses on human-computer interaction design, robot programming, and software maintenance.
He is the author of more than 500 peer-reviewed articles and a monograph published by Springer. His research interests include assisted living, medical imaging, and medical diagnostics using explainable artificial intelligence and robotics. He is also the Editor-in-Chief of Information Technology and Control journal. He has been a Guest Editor of several invited issues of international journals, such as BioMed Research International, Computational Intelligence and Neuroscience, the Journal of Healthcare Engineering, IEEE Access, IEEE Sensors, and Electronics.
Aman Kumar PhD Candidate, Department of Civil Engineering, McMaster University, Hamilton, ON, Canada.Aman Kumar holds a Master's degree in Construction Technology and Management from the National Institute of Technical Teachers' Training and Research, Chandigarh, and a Bachelor's degree in Civil Engineering from I.K. Gujral Punjab Technical University, Jalandhar. He is currently pursuing a PhD at McMaster University, Hamilton, Canada. Before that, Kumar was a Project Associate at the CSIR - Central Building Research Institute, Roorkee, India. He also accrued practical experience by covering a variety of roles in industry, including as a Structural Health Monitoring Engineer with Aimil Ltd., New Delhi, and as a Quality Control Engineer with Ambuja Cements Ltd., Chandigarh. Aman has also served as an Assistant Professor at the Indo-Global College, Punjab, where he taught earthquake engineering, estimation & costing, and concrete technology. His professional expertise spans non-destructive testing (NDT), structural health monitoring, fiber-reinforced polymers, fiber-reinforced cementitious matrices, and AI and ML applications for structural engineering.
