| KEYWORD |
Area Engineering
OpenAI for Generative Design - Implementation of connection tools between OpenAI and Visual Programming Language (VPL) and Environment
keywords ARTIFICIAL INTELLIGENCE, GENERATIVE AI, STRUCTURAL DESIGN, OPTIMA DESIGN, PARAMETRIC DESIG
Reference persons LAURA SARDONE
External reference persons Eng. Stefanos Sotiropoulos, PhD
Research Groups ArtIStE Artificial Intelligence In Structural Eng http://www.civilml.polito.it/
Thesis type SOFTWARE DEVELOPMENT
Description The current project aims to leverage the capabilities of OpenAI - ChatGPT to develop geometric and structural design solutions in the VPL environment. Based on the results of a previously conducted survey, the student will investigate methods to automate code injection in the VPL environment, which will generate various parametric design solutions.
The expected outcomes of this phase mainly revolve around the exploration of geometric properties in structural entities. Considering the expected results in the first phase, the next phase will involve the integration of structural optimization (SO) techniques in the same environment to capitalize on the capabilities of AI.
Required skills Programming skills in Python or C# (C# preferred). Individuals with an interest in exploring programming techniques and engaging in experimentation within the generative design domain are encouraged to apply.
Notes Premature requests for thesis closure will not be considered. It is important to note that experimental and research theses necessitate longer deadlines compared to compilation-type theses.
Possibility to develop the thesis abroad in collaboration with the National Technical University of Athens (School of Civil Engineering).
For any further information, please contact laura.sardone@polito.it
Deadline 03/09/2025
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