作者
Nitin Rane, Saurabh Choudhary, Jayesh Rane
发表日期
2023/11/22
期刊
Bard, and similar generative artificial intelligence in the architecture, engineering, and construction industry: applications, a novel framework, challenges, and future scope (November 22, 2023)
简介
The architecture, engineering, and construction (AEC) sector is currently experiencing a profound shift in its paradigm through the incorporation of Building Information Modelling (BIM) and advanced generative artificial intelligence (AI) technologies. This study delves into the diverse applications of this transformative integration, presenting a pioneering framework for merging BIM with models like ChatGPT and Bard. The integrated approach outlined in this research paper has broad and profound implications. Initially, it explores the augmentation of the design process, where generative AI enhances the creative input of architects and engineers by generating innovative design alternatives rooted in BIM data. BIM's collaborative ethos is extended through natural language interfaces from ChatGPT, fostering seamless communication and idea exchange among project stakeholders. In the construction phase, this integration streamlines real-time decision-making for on-site personnel, providing AI-generated insights based on BIM data. This ensures heightened project efficiency, cost-effectiveness, and risk management. The synergy between BIM and generative AI is also harnessed in simulation and analysis, enabling predictions related to structural performance, energy efficiency, and environmental impact. The research introduces an innovative framework seamlessly merging BIM and generative AI, prioritizing interoperability, data consistency, and user-friendly interfaces. Designed to adapt to the dynamic nature of AEC projects, the framework promotes continuous collaboration and information exchange. It establishes a standardized platform for …
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