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This chapter performs multi-objective optimization of composite structures (lenticular booms, tubular booms, bistable booms) using hybrid methods combining surrogate models and evolutionary algorithms. For lenticular booms, NSGA-III minimizes ultimate coiling radius, folding moment, and linear density while maximizing moment of inertia, reducing radius by 0.92% and moment by 3.33%. Tubular boom optimization via MOEA/D maximizes bending stiffness and minimizes folding moment, with maximum radius increasing stiffness by 583.5%. Bistable boom optimization using NSGA-II balances light weight, small folded volume, high strain energy, and natural frequency, with NSGA-II outperforming other algorithms in benchmark tests, significantly improving multi-objective performance.

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Optimization Designs for Deployable Composite Structures

  • 章节

  • 发表日期：

    2026年

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  • Jiang-Bo Bai,
  • Tian-Wei Liu,
  • Nicholas Fantuzzi

摘要

This chapter performs multi-objective optimization of composite structures (lenticular booms, tubular booms, bistable booms) using hybrid methods combining surrogate models and evolutionary algorithms. For lenticular booms, NSGA-III minimizes ultimate coiling radius, folding moment, and linear density while maximizing moment of inertia, reducing radius by 0.92% and moment by 3.33%. Tubular boom optimization via MOEA/D maximizes bending stiffness and minimizes folding moment, with maximum radius increasing stiffness by 583.5%. Bistable boom optimization using NSGA-II balances light weight, small folded volume, high strain energy, and natural frequency, with NSGA-II outperforming other algorithms in benchmark tests, significantly improving multi-objective performance.