Digital Transformation in the Construction Industry
Sustainability, Resilience, and Data-Centric Engineering
- 1st Edition - May 16, 2025
- Imprint: Woodhead Publishing
- Editors: Ehsan Noroozinejad Farsangi, Mohammad Noori, T.Y. Yang, Vasilis Sarhosis, Seyedali Mirjalili, Mirosław J. Skibniewski
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 9 8 6 1 - 5
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 9 8 6 2 - 2
Digital Transformation in the Construction Industry: Sustainability, Resilience, and Data-Centric Engineering delivers timely and much sought-after guidance related to novel, dig… Read more
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Request a sales quoteDigital 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.
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.
- Covers emerging technologies comprehensively
- Emphasizes the use of digital tools to support achievements for worldwide net zero targets
- Focuses on lean and agile construction practices to improve project efficiency and reduce waste
Academics, researchers, and postgraduate students in civil and structural engineering, construction engineering and operations management, architecture, design, and the (digital) built environment, environmental engineering; sustainable urbanism. Practitioners, consultants, and other stakeholders in all the fields described as primary, as well as policymakers and public and private agencies charged with leveraging the benefits of data science methods and models for improving the sustainability, reliability, resilience, safety, efficiency, and usability of buildings, infrastructures, and urban assets.
Section I
Digital transformation foundations
1. Introduction to digital transformation in the construction industry
2. Revolutionizing construction small and medium-sized enterprises: leveraging
platform and data cooperatives for digital empowerment
3. Navigating the path to construction’s digital renaissance
4. Energy efficiency strategies, sustainable technologies, and building performance simulation tools adopted in the construction industry
5. Sustainability in construction: challenges and opportunities
6. The green construction framework: a strategic pathway to emission
reduction through technological innovations in the built environment
7. Digital innovation in Green Rating Systems: driving the green and
energy transition in the construction sector
8. Energy efficiency solutions in the digitalized construction sector
9. Green building practices: integrating sustainability into construction projects
10. Sustainability practices in the design and construction of civil engineering projects
11. Standardization of reporting carbon in construction projects—an illustrated
Example
12. Recent developments in construction and building materials: smart,
sustainable, and environmentally friendly approaches
Section III
Resilience and adaptation in modern construction
13. Resilience strategies for the digitalized construction sector
14. A framework for resilience analysis of infrastructure systems
15. Resilience and sustainability toward asset management improvement
16. Resilience assessment of a long-span suspension bridge under heavy
dynamic traffic load via first-passage reliability
Section IV
Data-centric engineering and technological innovations
17. Integration of building information modeling and machine learning for
predictive maintenance
18. Virtual reality for immersive design and visualization in construction
19. Smart cities: digital transformation for sustainable urban development
20. Digital twins and smart sensors for building performance and maintenance
Optimization
21. Data-centric engineering approaches in construction projects
22. Artificial intelligence for enhanced decision-making in construction
23. Demystifying machine learning for predictive analytics in construction
24. Unmanned aerial vehicle application in civil structures monitoring via deep
Learning
25. Fundamentals of 3D printing of cementitious composites: fresh
property, machine design, and modeling perspectives
26. 3D printing technologies in construction: innovations and applications
27. Robotic construction and inspection: automation and efficiency in the
building process
28. Structural damage detection using a computer vision–based measurement
and finite element modeling updating method
29. AIDaBIM: artificial intelligence to assess structural/seismic damage to historic heritage in a building information modeling environment
30. The future of structural health monitoring with extended reality
31. A two-stage novel approach for structural health monitoring
32. Fiber reinforcement strategies in 3D concrete printing: addressing challenges and identifying research gaps
33. Analytical design models in construction engineering: artificial
neural network and gene expression programming practices
34. Advanced artificial intelligence network to forecast the fire characteristics of
concrete-filled steel columns
Index
Digital transformation foundations
1. Introduction to digital transformation in the construction industry
2. Revolutionizing construction small and medium-sized enterprises: leveraging
platform and data cooperatives for digital empowerment
3. Navigating the path to construction’s digital renaissance
4. Energy efficiency strategies, sustainable technologies, and building performance simulation tools adopted in the construction industry
5. Sustainability in construction: challenges and opportunities
6. The green construction framework: a strategic pathway to emission
reduction through technological innovations in the built environment
7. Digital innovation in Green Rating Systems: driving the green and
energy transition in the construction sector
8. Energy efficiency solutions in the digitalized construction sector
9. Green building practices: integrating sustainability into construction projects
10. Sustainability practices in the design and construction of civil engineering projects
11. Standardization of reporting carbon in construction projects—an illustrated
Example
12. Recent developments in construction and building materials: smart,
sustainable, and environmentally friendly approaches
Section III
Resilience and adaptation in modern construction
13. Resilience strategies for the digitalized construction sector
14. A framework for resilience analysis of infrastructure systems
15. Resilience and sustainability toward asset management improvement
16. Resilience assessment of a long-span suspension bridge under heavy
dynamic traffic load via first-passage reliability
Section IV
Data-centric engineering and technological innovations
17. Integration of building information modeling and machine learning for
predictive maintenance
18. Virtual reality for immersive design and visualization in construction
19. Smart cities: digital transformation for sustainable urban development
20. Digital twins and smart sensors for building performance and maintenance
Optimization
21. Data-centric engineering approaches in construction projects
22. Artificial intelligence for enhanced decision-making in construction
23. Demystifying machine learning for predictive analytics in construction
24. Unmanned aerial vehicle application in civil structures monitoring via deep
Learning
25. Fundamentals of 3D printing of cementitious composites: fresh
property, machine design, and modeling perspectives
26. 3D printing technologies in construction: innovations and applications
27. Robotic construction and inspection: automation and efficiency in the
building process
28. Structural damage detection using a computer vision–based measurement
and finite element modeling updating method
29. AIDaBIM: artificial intelligence to assess structural/seismic damage to historic heritage in a building information modeling environment
30. The future of structural health monitoring with extended reality
31. A two-stage novel approach for structural health monitoring
32. Fiber reinforcement strategies in 3D concrete printing: addressing challenges and identifying research gaps
33. Analytical design models in construction engineering: artificial
neural network and gene expression programming practices
34. Advanced artificial intelligence network to forecast the fire characteristics of
concrete-filled steel columns
Index
- Edition: 1
- Published: May 16, 2025
- Imprint: Woodhead Publishing
- Language: English
- Paperback ISBN: 9780443298615
- eBook ISBN: 9780443298622
EF
Ehsan Noroozinejad Farsangi
Dr. Ehsan Noroozinejad Farsangi holds distinguished positions within the academic
community as a Senior Researcher at the Urban Transformation Research Centre (UTRC),
Western Sydney University in Australia and as a Principal Visiting Scientist at UBC Smart
Structures in Canada. He is also an Adjunct Associate Professor at Southeast University in China,
reflecting his global reach and expertise. As the Director of the Resilient Structures Research
Group, he has made significant contributions to the field of structural engineering with a team of
esteemed international researchers. Additionally, he is an Associate Editor for several
distinguished journals at ASCE, Wiley, Springer, Sage, and IET. His prolific and influential
academic career is underscored by the publication of over 160 high-impact journal papers, 7
books in collaboration with esteemed publishers, and various patents. He is also a Co-founding
Editor of the Data-Centric Engineering Book series published by De Gruyter. His research
interests encompass a wide range of topics, including smart materials and structures, resilience-based design, artificial intelligence, modular construction, and digital twins in construction.
Affiliations and expertise
Senior Researcher, Urban Transformations Research Centre, Western Sydney University, NSW, AustraliaMN
Mohammad Noori
Dr. Mohammad Noori, a Fellow and Life Member of the American Society of Mechanical
Engineering, is an Emeritus Professor of Mechanical Engineering at Cal Poly, San Luis Obispo; a Distinguished Visiting Professor at Henan University of Technology, China; and a Visiting Professor at the University of Leeds, United Kingdom. His original work in modeling complex
hysteresis behavior, namely Bouc–Wen–Baber–Noori model, is widely cited and implemented
for nonlinear random vibration and seismic analysis and incorporated in several programs such as ABAQUS and OpenSees. He has also made pioneering contributions in seismic isolation and utilizing artificial neural networks in structural health monitoring that are broadly cited. Noori has published more than 300 refereed papers, 16 scientific books, and 31 book chapters. He cofounded the National Institute of Aerospace, established through a $379 million 15-year NASA contract; and in addition, he has received more than $17 million in research grants and contracts. Noori has supervised 24 postdoctoral, 26 PhD, and 54 MS projects, given more than 100 keynotes and invited talks, and directed the Sensors Program at the National Science Foundation. He also developed an online course, How to Write an Effective Research Paper, taken up by more than 13,000 students worldwide. He is a member of several honorary research societies and the Founding Editor of the CRC/Taylor and Francis Book Series, Resilience and Sustainability in Civil, Mechanical, Aerospace, and Manufacturing Engineering Systems series published by T&F.
Affiliations and expertise
Professor, Department of Mechanical Engineering, California Polytechnic State University, San Luis Obispo, CA, United StatesTY
T.Y. Yang
Dr. T.Y. 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 the next-generation performance-based design
AQ1 guidelines (adopted by the Applied Technology Council, the ATC-58 research team) in the United States; advanced experimental testing technologies, such as hybrid simulation and nonlinear control of shake table, to evaluate structural response under extreme loading
conditions; and risk-based simulation models for countries in the North and South America
and the Global Earthquake Model (GEM) for the counties in South East Asia. He has been
actively involved in using novel technologies, such as base isolation systems and dampers to
improve structural performance. He has worked with leading structural engineering firms to peer-reviewed landmark buildings, including the tallest steel plate shear wall structure in the world. He 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 co-developed “OpenSees Navigator,” a software program widely used by design engineers and researchers to design and analyze complex structural systems. He has also developed “PBEE,” a software program to quantify facility loss under extreme events.
Affiliations and expertise
Professor, Department of Civil Engineering, The University of British Columbia, Vancouver, BC, CanadaVS
Vasilis Sarhosis
Dr. Vasilis 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 has received both undergraduate and postgraduate degrees in civil engineering from the University of Leeds and worked as a consultant civil engineer in the United
Kingdom. Prof. Sarhosis is a Chartered Engineer (CEng) and a Fellow of the Institute of Civil
Engineering (FICE), the Institute of Mechanical Engineering (FIMEchE), and the Higher Education Academy (FHEA) in the United Kingdom. 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.
Affiliations and expertise
Professor, School of Civil Engineering, Faculty of Engineering and Physical Sciences, University of Leeds, Leeds, United KingdomSM
Seyedali Mirjalili
Dr. Seyedali Mirjalili is a Professor and globally renowned leader in artificial intelligence and
optimization, recognized as the No. 1 AI researcher on Stanford University’s prestigious World’s Top Scientists list since 2023. He founded the Centre for Artificial Intelligence Research and
Optimization in 2019 and serves as a Professor of AI at Torrens University Australia, with distinguished professorships in Hungary and the Czech Republic. With more than 600 research
publications, 130,000 citations, and an H-index of 125, Prof. Mirjalili is among the top 1% of highly cited researchers worldwide. His contributions include developing AI algorithms widely applied in science and industry and delivering influential talks, including a TED Talk on AI's transformative potential. Prof. Mirjalili is a strong advocate for responsible and inclusive AI, and he has collaborated with industry and government on ethical AI tools. As a senior member of IEEE and an editor for leading AI journals, he significantly contributed to the advancements of fundamental and applied research in the field. Recognized as a top research leader by The
Australian for five years, his insights have earned significant media attention, which showcases
his influence as a global thought leader.
Affiliations and expertise
Professor and Founding Director, Centre for Artificial Intelligence Research and Optimization, Torrens University Australia, Ultimo, NSW, AustraliaMS
Mirosław J. Skibniewski
Dr. Mirosław J. Skibniewski is working as a Professor of construction engineering and project management at the University of Maryland, College Park, United States. He previously worked as a Professor and Associate Provost at Purdue University in West Lafayette, Indiana, United States. He holds a MEng degree from Warsaw University of Technology and MS and PhD degrees from Carnegie Mellon University, all in civil engineering. Prof. Skibniewski's research focuses on the new Construction 5.0 paradigm, including sustainable and resilient infrastructure
through the use of modern IT-based solutions, sensor-based systems, 3D printing, smart
materials, automation, and robotics. He holds distinguished professorships and honorary
appointments at universities and industrial research institutions in the United States and
worldwide. Skibniewski is the Honorary Editor of Automation in Construction (Elsevier) and
Co-Editor-in-Chief of Frontiers of Engineering Management (Springer).
Affiliations and expertise
Professor, Department of Civil and Environmental Engineering, A. James Clark School of Engineering, University of Maryland, College Park, MD, United StatesRead Digital Transformation in the Construction Industry on ScienceDirect