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  • Digital Transformation in the Construction Industry: Sustainability, Resilience, and Data-Centric Engineering

    Digital Transformation in the Construction Industry by Farsangi, Ehsan Noroozinejad; Noori, Mohammad; Yang, T.Y.;

    Sustainability, Resilience, and Data-Centric Engineering

    Sorozatcím: Woodhead Publishing Series in Civil and Structural Engineering;

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    122 347 Ft

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    Beszerezhetőség

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    Why don't you give exact delivery time?

    A beszerzés időigényét az eddigi tapasztalatokra alapozva adjuk meg. Azért becsült, mert a terméket külföldről hozzuk be, így a kiadó kiszolgálásának pillanatnyi gyorsaságától is függ. A megadottnál gyorsabb és lassabb szállítás is elképzelhető, de mindent megteszünk, hogy Ön a lehető leghamarabb jusson hozzá a termékhez.

    A termék adatai:

    • Kiadó Elsevier Science
    • Megjelenés dátuma 2025. május 22.

    • ISBN 9780443298615
    • Kötéstípus Puhakötés
    • Terjedelem738 oldal
    • Méret 276x215 mm
    • Súly 1000 g
    • Nyelv angol
    • 664

    Kategóriák

    Hosszú leírás:

    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.

    Több

    Tartalomjegyzék:

    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

    Több