This bachelor's thesis investigates the capabilities and limitations of large language models (LLMs) in structural engineering design through the example of designing a steel bolted lap connection. The rapid development of artificial intelligence in recent years has created new opportunities for supporting and automating engineering processes. At the same time, it has raised important questions regarding the reliability and applicability of these technologies in tasks that require a high level of professional knowledge. The theoretical part of the thesis presents the fundamentals of artificial intelligence, the operating principles of large language models, and their applications in the construction industry. Particular attention is given to the advantages, limitations, and potential risks associated with the use of these technologies in engineering practice. In addition, the basic principles of design according to Eurocode 3, the European standard for the design of steel structures, are introduced. The practical part consists of the design of a steel bolted lap connection subjected to three different load cases. The calculations were first carried out manually in accordance with Eurocode 3 and were then performed using the commercially available large language models ChatGPT 5.5 and Claude Opus 4.8. The obtained results were then compared in terms of the correctness of the applied procedures, the accuracy of the calculations, and the clarity of the presented results. The aim of the research was to determine to what extent currently available large language models can serve as support tools for structural engineers in the design process. Based on the conducted analysis, conclusions are drawn regarding their usefulness, reliability, and limitations in solving more demanding engineering problems.
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