•  
  •  
 

CIB Conferences

Abstract

This study explores the integration of Artificial Intelligence (AI) and Building Information Modeling (BIM) in the construction industry, emphasizing key applications, advancements, challenges, and future opportunities. Existing literature often isolates AI techniques from BIM applications; however, this research employs a systematic literature review guided by the PRISMA framework. A total of 56 articles addressing AI-BIM integration were reviewed, with 21 meeting the inclusion criteria. Findings reveal diverse applications, including design optimization, predictive maintenance, and safety management, underscoring the potential of AI-BIM integration to enhance various stages of the building lifecycle. However, significant challenges persist, such as data limitations, the complexity of BIM models, and the need for collaborative stakeholder approaches. A critical gap is identified in training and upskilling professionals to effectively leverage these technologies. While Natural Language Processing (NLP) has shown promise in tasks like specifications assessment and linking Occupational Safety and Health Administration (OSHA) protocols to BIM, its application in training and education remains underexplored, highlighting an opportunity for further research to bridge the gap between technological innovation and user proficiency.

The paper will be presented:

In-person

Primary U.N. Sustainable Development Goals (SDG)

Industry, Innovation and Infrastructure - - Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation

Secondary U.N. Sustainable Development Goals (SDG)

Quality Education - - Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all

Primary CIB Task Group OR Working commission

W078 – Information Technology for Construction

Secondary CIB Task Group OR Working commission

TG96 – Accelerating Innovation in Construction

Download

Share

COinS