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This chapter delves into the generation of Python code by ChatGPT-4o for 2D simulations of fluid flow around obstacles of circular or square shape. The numerical solution is achieved using the Lattice Boltzmann Method (LBM) with the D2Q9 model. A significant portion of the chapter is dedicated to the intricacies of prompt engineering for this specific task, as well as the thorough verification of the generated code. The performance of the code is rigorously tested against results obtained from a commercial solver, focusing on velocity fields, pressure fields, and pressure distribution. The remarkable quantitative agreement across all criteria demonstrates the effectiveness of GPT-4o in producing accurate and reliable code for complex fluid dynamics simulations.

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Flow Around an Obstacle Using the Lattice Boltzmann Method

  • 章节

  • 发表日期：

    2025年

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  • Fenil Lathiya,
  • Bernhard Eidel

摘要

This chapter delves into the generation of Python code by ChatGPT-4o for 2D simulations of fluid flow around obstacles of circular or square shape. The numerical solution is achieved using the Lattice Boltzmann Method (LBM) with the D2Q9 model. A significant portion of the chapter is dedicated to the intricacies of prompt engineering for this specific task, as well as the thorough verification of the generated code. The performance of the code is rigorously tested against results obtained from a commercial solver, focusing on velocity fields, pressure fields, and pressure distribution. The remarkable quantitative agreement across all criteria demonstrates the effectiveness of GPT-4o in producing accurate and reliable code for complex fluid dynamics simulations.