Building Information Modelling and Artificial Intelligence for Smart Construction
A Special Issue of Sci (ISSN 2413-4155) belonging to the section "Computer Science, Mathematics and AI".
Deadline for manuscript submissions: 20 April 2027 | Viewed by 331
Editors
Interests: acoustic, electromagnetic, and particle emission energy; acoustic emission methods for damage identification; concrete, masonry and rocks; cracking evolution in masonry arch bridges; creep behavior of concrete structures; critical phenomena from structural mechanics to geophysics; damage diagnosis in structures and construction materials; mechanics of proteins and macro-molecular structures; microcracking fracture propagation; static and dynamic analysis of high-rise buildings
Special Issues, Collections and Topics in MDPI journals
Interests: acoustic emission energy; critical phenomena from structural mechanics to geophysics; damage diagnosis in structures; microcracking fracture propagation; static and dynamic analysis of structures; data-driven approaches and artificial intelligence for structural monitoring; digital twins and AI integration in construction engineering
Special Issue Information
Dear Colleague,
The construction industry stands at the threshold of a profound transformation. While the sector has traditionally followed established practices and conventional project delivery methods, the convergence of Building Information Modelling (BIM) and Artificial Intelligence (AI) is opening the door to a new era of smart construction — one characterized by data-driven decision-making, automation, and intelligent collaboration across the entire building lifecycle.
BIM has significantly advanced how built assets are designed, constructed, and managed through rich, multidimensional digital representations. Now, its integration with AI is unlocking new frontiers. Machine learning, computer vision, natural language processing, and generative design algorithms are transforming BIM from a comprehensive digital model into a dynamic, predictive, and increasingly autonomous system. From intelligent design optimization and automated scheduling to digital twin-enabled asset management and sustainability-driven performance forecasting, AI-enhanced BIM environments are enabling unprecedented levels of efficiency, quality, and environmental responsibility in the Architecture, Engineering, and Construction (AEC) industry.
This evolution, however, presents important challenges alongside its opportunities. Effective integration of BIM and AI requires high-quality, interoperable data, while the industry continues to mature in areas such as data standardization and digital readiness. Moreover, questions surrounding trust in AI-generated outputs, workforce development, ethical considerations, and the scalability of intelligent systems across diverse project contexts remain areas of active investigation.
This Special Issue addresses the latest advances, ongoing challenges, and emerging research needs at the intersection of Building Information Modelling and Artificial Intelligence for smart construction, from both scientific and practical perspectives.
Suggested topics:
- AI-driven design optimization and generative design in BIM environments
- Digital twins for construction monitoring, operation, and maintenance
- Machine learning for automated clash detection, scheduling, and cost estimation
- Computer vision and BIM integration for construction site monitoring
- Natural language processing for BIM data extraction and management
- AI-enhanced sustainability assessment and energy performance prediction
- Interoperability, data standards, and data quality for AI-BIM integration
- Open-source BIM and AI tools for smart construction: development, benchmarking, and adoption
- Open data standards and open datasets for training and validating AI models in BIM environments
- Reproducibility and open science practices in BIM-AI research
- Ethical, legal, and social implications of AI in smart construction
- Workforce development and digital skills for AI-enabled BIM adoption
- Case studies and industry applications of BIM-AI integration
Dr. Giuseppe Lacidogna
Dr. Pedro Marin Montanari
Guest Editors
Manuscript Submission Information
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Keywords
- digital twin
- smart construction
- open science
- generative design
- artificial intelligence
- building information modelling
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