Digital Transformation in the Construction Industry
Sustainability, Resilience, and Data-Centric Engineering
- 1st Edition - April 1, 2025
- Editors: Ehsan Noroozinejad Farsangi, Mohammad Noori, Tony 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,… 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 whose gradual adoption is being embraced to significantly reshape the way buildings and other infrastructure assets are designed, constructed, operated, and maintained. The book contains 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 that are coherently collated in this comprehensive resource.
This systematic analysis of cutting-edge developments [such as such as Building Information Modeling (BIM), Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), Big Data, Augmented Reality (AR), Virtual Reality (VR), 3D Printing, and Structural Health Monitoring (SHM)] 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 establish working efficiencies which can at the same time aid the impactful realization of globally recognized sustainability goals.
This systematic analysis of cutting-edge developments [such as such as Building Information Modeling (BIM), Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), Big Data, Augmented Reality (AR), Virtual Reality (VR), 3D Printing, and Structural Health Monitoring (SHM)] 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 establish working efficiencies which can at the same time aid the impactful realization of globally recognized sustainability goals.
- 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
1. Introduction to Digital Transformation in the Construction Industry
1.1 Importance of digital transformation in the construction industry
1.2 Overview of sustainability, net zero, resilience, and data-centric engineering
2. Sustainability in Construction: Challenges and
2.1 Achieving net zero and carbon neutrality in construction
2.2 Energy efficiency strategies in the digitalized construction sector
3. Resilience Strategies for the Digitalized Construction Sector
3.1 Enhancing construction project resilience through digital technologies
3.2 Risk management and disaster preparedness in the digital era
4. Data-Centric Engineering Approaches in Construction Projects
4.1 Utilizing data-centric engineering for improved project outcomes
4.2 Integration of data analytics in construction decision-making
5. Achieving Net Zero and Carbon Neutrality in Construction
5.1 Sustainable materials and practices for carbon reduction
5.2 Innovations in renewable energy integration in construction projects
6. Building Information Modeling for Efficient Project Management
6.1 BIM applications for design and collaboration in construction
6.2 BIM-enabled project coordination and clash detection
7. Internet of Things Applications in Construction
7.1 IoT-enabled safety monitoring and equipment tracking in construction
7.2 Environmental monitoring and control using IoT sensors
8. Artificial Intelligence for Enhanced Decision-Making in Construction
8.1 AI applications for optimized construction project planning
8.2 AI-assisted risk assessment and mitigation in construction
9. Machine Learning Techniques for Predictive Analytics in Construction
9.1 Predictive maintenance using machine learning algorithms
9.2 ML-based quality control and defect detection in construction
10. Leveraging Big Data for Construction Project Optimization
10.1 Big data analytics for improved project scheduling and resource allocation
10.2 Harnessing big data for real-time monitoring and performance evaluation
11. Cloud Computing in the Construction Industry
11.1 Cloud-based collaboration and data sharing in construction
11.2 Cloud computing for scalable computing power in construction projects
12. Augmented Reality Applications in Construction Projects
12.1 AR-enhanced visualization and design in construction
12.2 AR-based on-site construction guidance and quality assurance
13. Virtual Reality for Immersive Design and Visualization in Construction
13.1 VR-based simulation and walkthroughs for construction projects
13.2 VR applications for stakeholder engagement and project communication
13.3 Visual intelligence for safe operations in construction projects
14. 3D Printing Technologies in Construction: Innovations and Applications
14.1 Advancements in 3D printing for construction components and structures
14.2 Implementing 3D printing in sustainable construction practices
15. Structural Health Monitoring for Building Safety and Performance
15.1 SHM technologies for continuous monitoring of structural integrity
15.2 Real-time condition assessment and maintenance using SHM in construction
16. Robotic Construction: Automation and Efficiency in the Building Process
16.1 Robotic systems for automated construction tasks
16.2 Integration of robotics in off-site and on-site construction processes
17. Smart Cities: Digital Transformation for Sustainable Urban Development
17.1 Smart city concepts and digital technologies for urban infrastructure
17.2 IoT, AI, and data-driven solutions for sustainable urban development
18. Energy Efficiency Solutions in the Digitalized Construction Sector
18.1 Energy management systems and technologies in construction
18.2 Optimizing building performance for energy efficiency and conservation
19. Green Building Practices: Integrating Sustainability into Construction Projects
19.1 Sustainable design principles and practices in construction
19.2 Implementing green building certifications and standards
20. Digital Twins and Smart Sensors for Improved Building Performance and Maintenance
20.1 Digital twins for real-time monitoring and predictive maintenance
20.2 Smart sensor technologies for enhanced building performance and efficiency
1.1 Importance of digital transformation in the construction industry
1.2 Overview of sustainability, net zero, resilience, and data-centric engineering
2. Sustainability in Construction: Challenges and
2.1 Achieving net zero and carbon neutrality in construction
2.2 Energy efficiency strategies in the digitalized construction sector
3. Resilience Strategies for the Digitalized Construction Sector
3.1 Enhancing construction project resilience through digital technologies
3.2 Risk management and disaster preparedness in the digital era
4. Data-Centric Engineering Approaches in Construction Projects
4.1 Utilizing data-centric engineering for improved project outcomes
4.2 Integration of data analytics in construction decision-making
5. Achieving Net Zero and Carbon Neutrality in Construction
5.1 Sustainable materials and practices for carbon reduction
5.2 Innovations in renewable energy integration in construction projects
6. Building Information Modeling for Efficient Project Management
6.1 BIM applications for design and collaboration in construction
6.2 BIM-enabled project coordination and clash detection
7. Internet of Things Applications in Construction
7.1 IoT-enabled safety monitoring and equipment tracking in construction
7.2 Environmental monitoring and control using IoT sensors
8. Artificial Intelligence for Enhanced Decision-Making in Construction
8.1 AI applications for optimized construction project planning
8.2 AI-assisted risk assessment and mitigation in construction
9. Machine Learning Techniques for Predictive Analytics in Construction
9.1 Predictive maintenance using machine learning algorithms
9.2 ML-based quality control and defect detection in construction
10. Leveraging Big Data for Construction Project Optimization
10.1 Big data analytics for improved project scheduling and resource allocation
10.2 Harnessing big data for real-time monitoring and performance evaluation
11. Cloud Computing in the Construction Industry
11.1 Cloud-based collaboration and data sharing in construction
11.2 Cloud computing for scalable computing power in construction projects
12. Augmented Reality Applications in Construction Projects
12.1 AR-enhanced visualization and design in construction
12.2 AR-based on-site construction guidance and quality assurance
13. Virtual Reality for Immersive Design and Visualization in Construction
13.1 VR-based simulation and walkthroughs for construction projects
13.2 VR applications for stakeholder engagement and project communication
13.3 Visual intelligence for safe operations in construction projects
14. 3D Printing Technologies in Construction: Innovations and Applications
14.1 Advancements in 3D printing for construction components and structures
14.2 Implementing 3D printing in sustainable construction practices
15. Structural Health Monitoring for Building Safety and Performance
15.1 SHM technologies for continuous monitoring of structural integrity
15.2 Real-time condition assessment and maintenance using SHM in construction
16. Robotic Construction: Automation and Efficiency in the Building Process
16.1 Robotic systems for automated construction tasks
16.2 Integration of robotics in off-site and on-site construction processes
17. Smart Cities: Digital Transformation for Sustainable Urban Development
17.1 Smart city concepts and digital technologies for urban infrastructure
17.2 IoT, AI, and data-driven solutions for sustainable urban development
18. Energy Efficiency Solutions in the Digitalized Construction Sector
18.1 Energy management systems and technologies in construction
18.2 Optimizing building performance for energy efficiency and conservation
19. Green Building Practices: Integrating Sustainability into Construction Projects
19.1 Sustainable design principles and practices in construction
19.2 Implementing green building certifications and standards
20. Digital Twins and Smart Sensors for Improved Building Performance and Maintenance
20.1 Digital twins for real-time monitoring and predictive maintenance
20.2 Smart sensor technologies for enhanced building performance and efficiency
- No. of pages: 650
- Language: English
- Edition: 1
- Published: April 1, 2025
- Imprint: Woodhead Publishing
- Paperback ISBN: 9780443298615
- eBook ISBN: 9780443298622
EF
Ehsan Noroozinejad Farsangi
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.
Affiliations and expertise
Senior Researcher, Smart Structures Research Group, Dept. of Civil Engineering, Faculty of Applied Science, University of British Columbia, Vancouver, BC, CanadaMN
Mohammad Noori
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).
Affiliations and expertise
Professor, Department of Mechanical Engineering, California Polytechnic State University, San Luis Obispo, CA, USATY
Tony T.Y. Yang
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.
Affiliations and expertise
Professor, Department of Civil Engineering, Faculty of Applied Science, University of British Columbia, Vancouver, BC, CanadaVS
Vasilis Sarhosis
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.
Affiliations and expertise
Professor, School of Civil Engineering, Faculty of Engineering and Physical Sciences, University of Leeds, Leeds, UKSM
Seyedali Mirjalili
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.
Affiliations and expertise
Adjunct Principal Research Fellow, Institute for Integrated and Intelligent Systems, Griffith University, Nathan, QLD, Australia; Professor and Director, Centre for Artificial Intelligence Research and Optimization, Torrens University Australia, Ultimo, NSW, AustraliaMS
Mirosław J. Skibniewski
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.
Affiliations and expertise
Professor, Maryland Robotics Center, Dept. of Civil and Environmental Engineering, A. James Clark School of Engineering, University of Maryland, College Park, MD, USA