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The hyperloop is an innovative transportation system operating at extremely high speeds in a vacuum chamber. This idea has garnered significant attention due to its energy efficiency. Since it runs at very high speeds, small changes in geometry can have a significant impact on the drag and hence electrical energy consumption. The condition of a pod traveling in near vacuum pressure at supersonic speeds poses a unique challenge in effectively analyzing its aerodynamics and consequently optimizing it. In this work, the flow over the hyperloop pod is modeled as a quasi-1D nozzle, and we have optimized its shape using a genetic algorithm approach. A systematic convergence study is performed using different genetic algorithm parameters to compare different results obtained. The practical applicability of the results obtained is also explored.

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Shape Optimization of a Hyperloop Pod to Minimize the Drag

  • 会议论文

  • 发表日期：

    2025年

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  • M. Kaushik,
  • Pushkar Sapre,
  • Pranshu Vyas,
  • Raaghav Dubey,
  • Karandeep Singh,
  • Pardha S. Gurugubelli

摘要

The hyperloop is an innovative transportation system operating at extremely high speeds in a vacuum chamber. This idea has garnered significant attention due to its energy efficiency. Since it runs at very high speeds, small changes in geometry can have a significant impact on the drag and hence electrical energy consumption. The condition of a pod traveling in near vacuum pressure at supersonic speeds poses a unique challenge in effectively analyzing its aerodynamics and consequently optimizing it. In this work, the flow over the hyperloop pod is modeled as a quasi-1D nozzle, and we have optimized its shape using a genetic algorithm approach. A systematic convergence study is performed using different genetic algorithm parameters to compare different results obtained. The practical applicability of the results obtained is also explored.