Digital Transformation in the Construction Industry

Section I<br>Digital transformation foundations<br>1. Introduction to digital transformation in the construction industry<br>2. Revolutionizing construction small and medium-sized enterprises: leveraging<br>platform and data cooperatives for digital empowerment<br>3. Navigating the path to construction&rsquo;s digital renaissance<br>4. Energy efficiency strategies, sustainable technologies, and building performance simulation tools adopted in the construction industry<br>5. Sustainability in construction: challenges and opportunities<br>6. The green construction framework: a strategic pathway to emission<br>reduction through technological innovations in the built environment<br>7. Digital innovation in Green Rating Systems: driving the green and<br>energy transition in the construction sector<br>8. Energy efficiency solutions in the digitalized construction sector<br>9. Green building practices: integrating sustainability into construction projects<br>10. Sustainability practices in the design and construction of civil engineering projects<br>11. Standardization of reporting carbon in construction projects—an illustrated<br>Example<br>12. Recent developments in construction and building materials: smart,<br>sustainable, and environmentally friendly approaches<br>Section III<br>Resilience and adaptation in modern construction<br>13. Resilience strategies for the digitalized construction sector<br>14. A framework for resilience analysis of infrastructure systems<br>15. Resilience and sustainability toward asset management improvement<br>16. Resilience assessment of a long-span suspension bridge under heavy<br>dynamic traffic load via first-passage reliability<br>Section IV<br>Data-centric engineering and technological innovations<br>17. Integration of building information modeling and machine learning for<br>predictive maintenance <br>18. Virtual reality for immersive design and visualization in construction<br>19. Smart cities: digital transformation for sustainable urban development<br>20. Digital twins and smart sensors for building performance and maintenance<br>Optimization<br>21. Data-centric engineering approaches in construction projects<br>22. Artificial intelligence for enhanced decision-making in construction<br>23. Demystifying machine learning for predictive analytics in construction<br>24. Unmanned aerial vehicle application in civil structures monitoring via deep<br>Learning<br>25. Fundamentals of 3D printing of cementitious composites: fresh<br>property, machine design, and modeling perspectives<br>26. 3D printing technologies in construction: innovations and applications<br>27. Robotic construction and inspection: automation and efficiency in the<br>building process<br>28. Structural damage detection using a computer vision–based measurement<br>and finite element modeling updating method<br>29. AIDaBIM: artificial intelligence to assess structural/seismic damage to historic heritage in a building information modeling environment<br>30. The future of structural health monitoring with extended reality<br>31. A two-stage novel approach for structural health monitoring<br>32. Fiber reinforcement strategies in 3D concrete printing: addressing challenges and identifying research gaps<br>33. Analytical design models in construction engineering: artificial<br>neural network and gene expression programming practices<br>34. Advanced artificial intelligence network to forecast the fire characteristics of<br>concrete-filled steel columns<br>Index