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In recent years, Machine Learning or Artificial Intelligence has played a pivotal role in various domains, such as engineering problems and communication systems. In this study, two methods, Decision Tree Regression and K-Nearest Neighbors Regression models, have been used to predict the flow dynamics and patterns over two tandem wall-mounted square ribs and compare the results with validated computational results. It was found that the selected models predicted the flow field well within the given flow conditions. However, the near-wall flow field is slightly under-predicted.

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Machine Learning-Based Unsteady Flow Dynamics Prediction Around Two Wall-Mounted Square Ribs Arranged in Tandem

  • 会议论文

  • 发表日期：

    2026年

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  • Oishik Chowdhury,
  • Sourav Sarkar,
  • Koustuv Debnath,
  • Prince Raj Lawrence Raj

摘要

In recent years, Machine Learning or Artificial Intelligence has played a pivotal role in various domains, such as engineering problems and communication systems. In this study, two methods, Decision Tree Regression and K-Nearest Neighbors Regression models, have been used to predict the flow dynamics and patterns over two tandem wall-mounted square ribs and compare the results with validated computational results. It was found that the selected models predicted the flow field well within the given flow conditions. However, the near-wall flow field is slightly under-predicted.