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Full Description
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.
Contents
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
