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<p>This study presents a novel methodology for the multi-objective parametric optimization of a non-symmetrical filament-wound composite vessel subjected to thermo-mechanical loading. Due to the vessel’s unequal polar openings, a nonuniform fiber angle distribution is required along the cylindrical section. The proposed approach incorporates both geodesic and non-geodesic fiber paths, accommodating the asymmetry in polar openings through cross-linear modeling of the helical layers across the domes and the cylindrical region. To achieve an innovative and weight-efficient design, a multi-objective optimization problem was formulated. The optimal radii of the polar openings and the composite layer thicknesses were determined to enhance the vessel’s thermomechanical performance. Thermal loading, particularly at high operating temperatures, is identified as a critical factor due to its potential to induce structural degradation. A specialized iterative algorithm was developed to perform the optimization, integrating an improved thermomechanical module, an optimization module, and a custom Python script. The Multi-Island Genetic Algorithm (MIGA) was employed to solve the optimization problem. Test cases were evaluated using two commercially available composite materials. Compared to purely mechanical models, the thermo-mechanical model can optimize material usage by approximately 10%.</p>

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Optimisation of Mechanical Performance in Composite Pressure Vessels with Nongeodesic Paths Under Thermomechanical Loading and Unequal Openings

  • 期刊论文

  • 发表日期：

    2025年11月19日

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  • Lyudmyla Rozova,
  • Mylène Deléglise-Lagardère,
  • Salim Chaki,
  • Dmytro Vasiukov

摘要

This study presents a novel methodology for the multi-objective parametric optimization of a non-symmetrical filament-wound composite vessel subjected to thermo-mechanical loading. Due to the vessel’s unequal polar openings, a nonuniform fiber angle distribution is required along the cylindrical section. The proposed approach incorporates both geodesic and non-geodesic fiber paths, accommodating the asymmetry in polar openings through cross-linear modeling of the helical layers across the domes and the cylindrical region. To achieve an innovative and weight-efficient design, a multi-objective optimization problem was formulated. The optimal radii of the polar openings and the composite layer thicknesses were determined to enhance the vessel’s thermomechanical performance. Thermal loading, particularly at high operating temperatures, is identified as a critical factor due to its potential to induce structural degradation. A specialized iterative algorithm was developed to perform the optimization, integrating an improved thermomechanical module, an optimization module, and a custom Python script. The Multi-Island Genetic Algorithm (MIGA) was employed to solve the optimization problem. Test cases were evaluated using two commercially available composite materials. Compared to purely mechanical models, the thermo-mechanical model can optimize material usage by approximately 10%.