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 Department of Civil Engineering, McMaster University, Hamilton, ON, Canada.Dr. Moncef L. Nehdi is a Professor and Chair of the Department of Civil Engineering at McMaster University, Canada, Emeritus Professor at Western University, Canada, and Visiting Professor at Henan Polytechnic University, China. He is the Chair of the Canadian Society for Civil Engineering (CSCE)dMaterials and Mechanics Division; co-Chair of the RILEM Concrete Data Science Committee; and served as Chair of the CSCE Cement and Concrete Committee; Chair of the American Concrete Institute Recycled Materials Committee; and Co-Chair of the Natural Science and Engineering Research Council of Canada (NSERC) Discovery Grant Committee. He also served as an Associate Director for Environmental Research Western and as a Technical Manager for three international companies.
Prof. Nehdi is a Fellow of the Canadian Academy of Engineering, Engineering Institute of Canada, American Concrete Institute (ACI), Canadian Society for Civil Engineering (CSCE), and Asia-Pacific Artificial Intelligence Association. He has received numerous prestigious awards including the ACI 2023 Sustainability Award, Engineering Medal for Research and Development from the Ontario Professional Engineers; Ontario Premier's Research Excellence Award; ACI Award for Professional Achievement; CSCE Horst Leipholz Medal; CSCE Whitman Wright Award; Bill Curtin Medal from the United Kingdom Institution of Civil Engineers; Faculty Fellow Award for Excellence in Engineering Education from the American Society of Engineering Education; and Engineering Prize for Excellence in Teaching from Western University, along with several best paper awards and other recognitions. He has been invited as a distinguished keynote speaker in numerous international forums and conferences.
Dr. Nehdi's scholarly and scientific research has been used in high-profile construction projects in Canada and abroad, including some world landmark structures. He has been active in several technical committees of ACI, CSCE, and RILEM, and a member of the editorial boards of several leading technical journals. He is also Canada's leader in civil engineering professional development courses offered to practicing engineers. A prolific author with more than 470 peer-reviewed publications, he was listed among the world's most impactful civil engineers by Elsevier and the Shanghai Global Ranking of Academic Subjects and in the Stanford University ranking of the world's top 1% scientists. Dr. Nehdi's research focuses on sustainable, eco-efficient, and NetZero construction, resilience of civil infrastructure, artificial intelligence and machine learning in civil engineering, and innovative materials for construction and energy storage.
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, Dept. of Structural Engineering, CSIR-Central Building Research Institute, Roorkee, Uttarakhand, India.Er. 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.
Currently, he is fervently pursuing his PhD in Engineering Sciences, specializing in structural engineering, at the renowned CSIR-Central Building Research Institute in Roorkee, 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 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.
