Learning About Concrete-Filled Tube Using Chatgpt

Abstract

ChatGPT is an artificial intelligence that can understand context and respond appropriately. It could be used for research on a topic. However, ChatGPT does not always provide accurate information. Its performance has not been tested in engineering fields. In this study, ChatGPT was consulted about concrete-filled tubes (CFT), which is a structural element primarily subjected to axial load. Fifty-eight questions were posted to ChatGPT. ChatGPT's responses (370 sentences) were evaluated. ChatGPT generated plagiarism-free statements, with only a 12% Turnitin similarity index. 78.6% of ChatGPT's sentences were long and complex. Thus, Hemingway Editor gave them a Grade 14 for poor readability. The information given by ChatGPT can be classified as correct, erroneous, contradictory, and unverified. ChatGPT could be used as a research tool, but with limitations. It can explain the basic concepts of CFT but also provide inaccurate and contradictory information. A researcher needs to be cautious while using ChatGPT in research. ChatGPT could be used to test some hypotheses or theories. However, the quality of the output is dependent on the user's critical inputs and an in-depth conversation with ChatGPT.

Integrating ChatGPT, Bard, and Leading-Edge Generative Artificial Intelligence in Architectural Design and Engineering: Applications, Framework, and Challenges

“…Material and construction technology choices significantly influence sustainability and resilience. Generative AI introduces novel approaches to material selection and construction methodologies, considering factors such as environmental impact, durability, and cost-effectiveness (Prieto et al, 2023;Uddin et al, 2023;Ling et al, 2023). Exploring how AI enhances material science and construction technology offers a glimpse into a future where buildings are not only aesthetically pleasing but also environmentally responsible and resilient (Hatoum and Nassereddine, 2023;You et al, 2023).…”