Open Access
Issue
E3S Web Conf.
Volume 702, 2026
Second International Conference on Innovations in Sustainable and Digital Construction Practices (ISDCP 2026)
Article Number 01021
Number of page(s) 17
Section Construction Management & Materials
DOI https://doi.org/10.1051/e3sconf/202670201021
Published online 01 April 2026
  1. M. Mohammad, E. Masad and S.G. Al-Ghamdi, 3D Concrete Printing Sustainability: A Comparative Life Cycle Assessment of Four Construction Method Scenarios. Adv. Concr. Constr. 10, 245 (2020). https://doi.org/10.3390/buildings10120245 [Google Scholar]
  2. I. Mai, L. Brohmann, N. Freund, S. Gantner, H. Kloft, D. Lowke, and N. Hack, Large Particle 3D Concrete Printing-A Green and Viable Solution. Materials. 1–22, (2021). https://doi.org/10.3390/ma14206125 [Google Scholar]
  3. M.F. Muller, F. Esmanioto, N. Huber, E.F.R. Loures, O.C. Junior, and A. Costin, Novel Framework for BIM Interoperability for Sustainability and Green Buildings - An Application for Concrete Structures. ITcon. 29, 40–57 (2024). https://doi.org/10.36680/j.itcon.2024.003 [Google Scholar]
  4. F. Kineber, N. Elshaboury, A.E. Oke, J. Aliu, Z. Abunada, M. Alhusban, Revolutionizing construction: A cutting-edge decision-making model for artificial intelligence implementation in sustainable building projects. Heliyon, 10, 17 (2024). https://doi.org/10.1016/j.heliyon.2024.e37078 [Google Scholar]
  5. C.U. Aleke, W.O. Usang, A. Obi-obuoha, A.A. Jolaosho, and O.O. Michael, Artificial Intelligence as a Tool for Enhancing Building Information Modeling ( BIM ). WJARR. 24 (02) 1833–1846 (2024). https://doi.org/10.30574/wjarr.2024.2423517 [Google Scholar]
  6. M. Adeel, and M. Awaz, Building Information Modeling and Artificial Intelligence Based Smart Construction Management: Materials and Electrical. EJTAS, 1 (6) 684–691 (2023). https://doi.org/10.59324/ejtas.2023.1(6).68 [Google Scholar]
  7. H. Yang, and M. Xia, Advancing Bridge Construction Monitoring: AI-Based Building Information Modeling for Intelligent Structural Damage Recognition. Appl. Artif. Intell, 37, (1) (2023). https://doi.org/10.1080/08839514.2023.2224995 [Google Scholar]
  8. T. Suntharalingam, I. Upasiri, P. Gatheeshgar, K. Poologanathan, B. Nagaratnam, P. Santos, and H. Rajanayagam, Energy Performance of 3D-Printed Concrete Walls: A Numerical Study. Buildings, 11, (10) 432 (2021). https://doi.org/10.3390/buildings11100432 [Google Scholar]
  9. A.H. Alami, A.G. Olabi, M. Ayoub, H. Aljaghoub, S. Alasad, and M.A. Abdelkareem, 3D Concrete Printing: Recent Progress, Applications, Challenges, and Role in Achieving Sustainable Development Goals. Buildings, 13 (4) 924 (2023). https://doi.org/10.3390/buildings13040924 [Google Scholar]
  10. Heywood, Kate, and P. Nicholas, 3d Concrete Printing in a Circular Economy: What We Can Learn from a 3dcp Slab Designed for Dissassembly. CumInCAD, 3, 271–280 (2024). https://doi.org/10.52842/conf.caadria.2024.3.271 [Google Scholar]
  11. A. Sapata, M. Sinka, G. Sahmenko, and G. Bumanis, Development of Sustainable 3d Printable Ternary. CONECT, 116–117 (2024). https://doi.org/10.7250/CONECT.2024.084 [Google Scholar]
  12. P. Bedarf, C. Calvo, B. Dinorah, M. Schulte, A. Senol, and E. Jeoffroy, Mineral Composites : Stay - in - Place Formwork for Concrete Using Foam 3D Printing. Arch. Struct. Constr., 3, 251–262 (2023). https://doi.org/10.1007/s44150-023-00084-x [Google Scholar]
  13. Z. He, Y. Wang, and J. Zhang, Generative AIBIM: An Automatic and Intelligent Structural Design Pipeline Integrating BIM and Generative AI. Inform. Fusion. 114, 146 (2025). https://doi.org/10.1016/j.inffus.2024.102654 [Google Scholar]
  14. Adewale, B. Adejoke, V.O. Ene, and B.F. Ogunbayo, A Systematic Review of the Applications of AI in a Sustainable Building ’ s Lifecycle. Buildings. 14 (7), 2137 (2024) https://doi.org/10.3390/buildings14072137 [Google Scholar]
  15. K. Alrasheed, Optimizing resource efficiency and innovation in construction with BIM integration: A hybrid ANN-SEM approach. J. Eng. Res. 2307–1877, (2025). https://doi.org/10.1016/jer.2025.11.007 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.