<p>In the aerospace sector, reducing the mass of structural components remains a critical challenge due to the high cost of launching payloads into space. This work presents the first application of the natural neighbour radial point interpolation method combined with a bio-inspired bidirectional evolutionary structural optimization algorithm to optimize lightweight structures in aerospace engineering. A meshless-based structural analysis framework is developed and validated through a case study on the spoke of NASA’s Perseverance rover wheel. The results demonstrate the accuracy and efficiency of the proposed method when compared to traditional finite element method solutions, achieving significant mass reduction and improved stress distribution. This study advances the use of meshless methods in structural optimization and highlights their potential for developing efficient, cost-effective aerospace components. </p>

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Design optimization of NASA’s Perseverance rover wheel spokes using a meshless method

  • Jure Trdin,
  • Daniel E. S. Rodrigues,
  • Jorge Belinha

摘要

In the aerospace sector, reducing the mass of structural components remains a critical challenge due to the high cost of launching payloads into space. This work presents the first application of the natural neighbour radial point interpolation method combined with a bio-inspired bidirectional evolutionary structural optimization algorithm to optimize lightweight structures in aerospace engineering. A meshless-based structural analysis framework is developed and validated through a case study on the spoke of NASA’s Perseverance rover wheel. The results demonstrate the accuracy and efficiency of the proposed method when compared to traditional finite element method solutions, achieving significant mass reduction and improved stress distribution. This study advances the use of meshless methods in structural optimization and highlights their potential for developing efficient, cost-effective aerospace components.