International Journal of BIM and Engineering Science

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https://doi.org/10.54216/IJBES

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2571-1075ISSN (Online)

Volume 6 , Issue 2 , PP: 39-54, 2023 | Cite this article as | XML | Html | PDF | Full Length Article

Application of Artificial Intelligence Tools with BIM Technology in Construction Management: Literature Review

Ali Louai Mostafa 1 * , Mohamed Ali Mohamed 2 , Sonia Ahmed 3 , Waleed Mahfouz M. A. Youssef 4

  • 1 Student of Master program in Building Information Modeling and Management at Syrian Virtual University Damascus Syria - (ali_157357@svuonline.org)
  • 2 Lecturer Professor, Building Information Modelling and Management Master Program, Syrian Virtual University, Damascus, Syria - (mhamadtop@gmail.com)
  • 3 Lecturer Professor at the Faculty of Engineering, Al-Rasheed University,and Building Information Modelling and Management Master Program, Syrian Virtual University, Damascus, Syria - (Sonia_ahmed@ru.edu.sy)
  • 4 Structural Engineering, Faculty of Engineering, Cairo University, Giza, Egypt - (cvlmaster@yahoo.com)
  • Doi: https://doi.org/10.54216/IJBES.060203

    Received: November 11, 2022 Revised: January 08, 2022 Accepted: March 17, 2023
    Abstract

    Nowadays, the construction sector industry energizes all other industries to diversify their service areas, nonetheless this sector needs to keep leading with technological developments. Following the adoption of Building Information Modeling technology (BIM), the construction projects has become more controlled and coordinated, which has contributed to improve productivity rates and to rationalize resources usage. This research is studied the developments in construction, especially technologies that adopt artificial intelligence (AI) with BIM technology such as machine learning, Augmented Reality techniques (AR), digital assistants, robots, automatic planning, scheduling, and optimization. These techniques can be used during design and construction stages to improve collaborative processes that have become a cornerstone of BIM technologies, as well as financial control and scheduling. Through using BIM, the construction industry can adopt AI technologies like autonomous systems and rely on machine learning in project management to access AI-based project self-management.

    Keywords :

    Artificial Intelligence (AI) , AEC (Architecture , Engineering , and Construction) ,   , Building Information Modelling (BIM) , Augmented Reality (AR) , Autonomous

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    Cite This Article As :
    Louai, Ali. , Ali, Mohamed. , Ahmed, Sonia. , Mahfouz, Waleed. Application of Artificial Intelligence Tools with BIM Technology in Construction Management: Literature Review. International Journal of BIM and Engineering Science, vol. , no. , 2023, pp. 39-54. DOI: https://doi.org/10.54216/IJBES.060203
    Louai, A. Ali, M. Ahmed, S. Mahfouz, W. (2023). Application of Artificial Intelligence Tools with BIM Technology in Construction Management: Literature Review. International Journal of BIM and Engineering Science, (), 39-54. DOI: https://doi.org/10.54216/IJBES.060203
    Louai, Ali. Ali, Mohamed. Ahmed, Sonia. Mahfouz, Waleed. Application of Artificial Intelligence Tools with BIM Technology in Construction Management: Literature Review. International Journal of BIM and Engineering Science , no. (2023): 39-54. DOI: https://doi.org/10.54216/IJBES.060203
    Louai, A. , Ali, M. , Ahmed, S. , Mahfouz, W. (2023) . Application of Artificial Intelligence Tools with BIM Technology in Construction Management: Literature Review. International Journal of BIM and Engineering Science , () , 39-54 . DOI: https://doi.org/10.54216/IJBES.060203
    Louai A. , Ali M. , Ahmed S. , Mahfouz W. [2023]. Application of Artificial Intelligence Tools with BIM Technology in Construction Management: Literature Review. International Journal of BIM and Engineering Science. (): 39-54. DOI: https://doi.org/10.54216/IJBES.060203
    Louai, A. Ali, M. Ahmed, S. Mahfouz, W. "Application of Artificial Intelligence Tools with BIM Technology in Construction Management: Literature Review," International Journal of BIM and Engineering Science, vol. , no. , pp. 39-54, 2023. DOI: https://doi.org/10.54216/IJBES.060203