Potential Role and Challenges of ChatGPT and Similar Generative Artificial Intelligence in Architectural Engineering

Authors

  • Nitin Liladhar Rane1* 1Vivekanand Education Society’s College of Architecture (VESCOA), Mumbai, India.

DOI:

https://doi.org/10.51483/IJAIML.4.1.2024.22-47

Keywords:

ChatGPT, Artificial intelligence, Generative artificial intelligence, Architectural engineering, Structural engineering, HVAC engineering

Abstract

The incorporation of generative Artificial Intelligence (AI) systems, such as
ChatGPT, holds great potential in reshaping diverse facets of architectural
engineering. This research investigates the profound influence of AI technologies
on structural engineering Heating, Ventilation, and Air Conditioning(HVAC)
engineering, electrical engineering, plumbing and fire protection engineering,
sustainability, net zero, and green building design, Building Information
Modeling (BIM), urban planning, and project management. In structural
engineering, ChatGPT’s capacity to analyze extensive datasets and simulate
intricate structures expedites the design process, ensuring structural integrity
while optimizing materials and costs. In HVAC engineering, it aids in devising
energy-efficient systems and climate control solutions, significantly contributing
to sustainable building practices. Similarly, in electrical engineering, the AI’s
capabilities enhance the design and optimization of electrical systems, ensuring
both safety and reliability. In plumbing and fire protection engineering, ChatGPT
assists in creating efficient plumbing layouts and fire suppression systems,
ensuring compliance with regulations. Moreover, ChatGPT plays a pivotal role
in advancing sustainability and green building design. By evaluating
environmental factors and suggesting eco-friendly materials and designs, it
fosters the development of environmentally responsible structures. In the domain
of BIM, the AI facilitates seamless collaboration, automates model generation,
and improves clash detection, ensuring streamlined project execution.
Nevertheless, the integration of generative AI in architectural engineering
presents challenges. Ethical concerns, data security, and the necessity for skilled
professionals to interpret AI-generated insights are significant issues. This research
delves into these contribution and challenges to effectively harness the potential
of generative AI, paving the way for a transformative era in architectural
engineering.

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Published

2024-01-05

How to Cite

Nitin Liladhar Rane1*. (2024). Potential Role and Challenges of ChatGPT and Similar Generative Artificial Intelligence in Architectural Engineering. International Journal of Artificial Intelligence and Machine Learning, 4(01), 22–47. https://doi.org/10.51483/IJAIML.4.1.2024.22-47

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