Digital Transformation in the Construction Industry

Digital Transformation in the Construction Industry: Sustainability, Resilience, and Data-Centric Engineering delivers timely and much sought-after guidance related to novel, digital-first practices and the latest technological tools, the gradual adoption of which is being embraced to significantly reshape the way buildings and other infrastructure assets are designed, constructed, operated, and maintained.Methodological and practice-informed investigations by scholars and researchers from across the globe, providing a wealth of knowledge relevant for, and applicable to, different geographical and economic contexts, are coherently collated in this edited volume. This systematic analysis of cutting-edge developments (such as Building Information Modeling, Internet of Things, Artificial Intelligence, Machine Learning, Big Data, Augmented Reality, Virtual Reality, 3D Printing, and Structural Health Monitoring) is accompanied by discussions on challenges and opportunities that digitalization engenders. Additionally, real-word case studies enrich the coverage, highlighting how these innovative solutions can contribute to establishing working efficiencies that can at the same time aid the impactful realization of globally recognized sustainability goals.Readers in both academic and professional settings are, therefore, not only equipped with a comprehensive overview of the state of the art but also offered an insightful reference resource for future works in the area.

Dr. Noroozinejad Farsangi holds distinguished positions within the academic community at the University of British Columbia (Canada), the Western Sydney University (Australia), the Southeast University (China), and the Graduate University of Advanced Technology (Iran). Alongside his own contributions to the field of structural engineering, he is the founder and Editor-in-Chief of the International Journal of Earthquake and Impact Engineering (ISSN print: 2397-9372; e-ISSN: 2397-9380), Editor for Natural Hazards Review (ASCE Library), on the editorial board of other renowned journals, as well as Series Editor of Data-Centric Engineering (De Gruyter). His research interests span a wide range of topics, including smart structures, resilience-based design, artificial intelligence, and digital twins in construction. He has been recognized with numerous national and international awards, including the 2022 ASCE Associate Editor Award for his exemplary service to enhancing ASCE's publication activities.Dr. Noori is a Professor of Mechanical Engineering at Cal Poly (USA) and a Visiting Professor at the University of Leeds (UK). His pioneering work in nonlinear random vibrations, hysteretic systems, seismic isolation, and structural health monitoring with artificial intelligence methods is widely cited. He co-founded the National Institute of Aerospace, established through a $379 million 15-year NASA contract, and received over $14 million in research funding. He is a member of several honorary research societies, a Fellow and Life Member of the American Society of Mechanical Engineering, and the Founding Editor of the Resilience and Sustainability in Civil, Mechanical, Aerospace, and Manufacturing Engineering Systems Series (Taylor and Francis).Dr. Yang received his PhD from the University of California, Berkeley, in 2006. His research focuses on improving structural performance through advanced analytical simulation and experimental testing. He has developed: (i) the next-generation performance-based design guidelines (adopted by the Applied Technology Council, the ATC-58 research team) in the US; (ii) advanced experimental testing technologies, such as hybrid simulation and nonlinear control of shake tables, to evaluate structural responses under extreme loading conditions; (ii) risk-based simulation models for countries in North and South America and the Global Earthquake Model (GEM) for countries in South East Asia; (iv) ‘OpenSees Navigator’, a software program widely used to design and analyze complex structural systems; (v) ‘PBEE’, a software program to quantify facility loss under extreme events. Dr. Yang is an active member of the Tall Buildings Initiative Project, funded by the Pacific Earthquake Engineering Research Center, to develop seismic design guidelines for tall buildings. He has worked with leading structural engineering firms to peer-review landmark buildings, including the Jinta Tower in Tianjin, i.e., tallest steel plate shear wall structure in the world. Dr. Sarhosis is a Professor and holds the Chair in Resilient Structures and Infrastructure at the School of Civil Engineering, University of Leeds. He is also a Visiting Professor at Southeast University, Nanjing, China, and a CDRI (Coalition for Disaster Resilience Infrastructure) Fellow. He holds both undergraduate and postgraduate degrees in Civil Engineering from the University of Leeds and worked as a consultant Civil Engineer in the UK. Prof Sarhosis is a Chartered Engineer (CEng) and a Fellow of the Institute of Civil Engineering (FICE), a Fellow of the Institute of Mechanical Engineering (FIMEchE), and a Fellow of the Higher Education Academy (FHEA) in the UK. He is currently chairing the National Scientific Committee on the Analysis and Restoration of Structures of Architectural Heritage (ISCARSAH-UK), which is part of the ICOMOS. Dr. Mirjalili has gained international recognition for his contributions to nature-inspired artificial intelligence techniques. He has been on the list of the top 1% of highly-cited researchers since 2019, and the Web of Science named him one of the most influential researchers in the world. In 2022 and 2023, The Australian newspaper recognized him as a global leader in Artificial Intelligence and a national leader in the Evolutionary Computation and Fuzzy Systems fields. He also holds a post as Adjunct Principal Research Fellow at the Institute for Integrated and Intelligent Systems, Griffith University (Australia). He serves as a senior member of IEEE and covers editorial positions at several top AI-related journals published by Elsevier, including Engineering Applications of Artificial Intelligence, Applied Soft Computing, Neurocomputing, Advances in Engineering Software, Computers in Biology and Medicine, Healthcare Analytics, and Decision Analytics. Dr. Skibniewski is a Professor of Construction Engineering and Project Management at the University of Maryland, College Park. He previously worked as an engineering professional at Pittsburgh Testing Laboratory, where he led structural and construction safety investigations, design quality reviews, structural testing, construction claims reviews, value engineering, and forensic engineering projects. He received his MEng from Warsaw University of Technology and MSc and PhD from Carnegie-Mellon University. He also completed the Harvard University Graduate School of Education Management Development Program. Dr. Skibniewski is a researcher and educator who focuses on sustainable and resilient infrastructure through the use of modern IT-based solutions, sensor-based systems, 3-D printing, smart materials, automation, and robotics. He has held short-term appointments at universities worldwide and has served on several national and international committees. Currently, he is Editor-in-Chief of Automation in Construction (Elsevier). He has received numerous honors, including the National Science Foundation Presidential Young Investigator Award and the American Society of Civil Engineers' Walter L. Huber Research Prize.

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