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基于Hamilton原理基础上推导了旋翼桨叶有限元动力学模型和疲劳寿命计算模型。以动力学特性的固有频率,自转惯量为约束,以剖面特性参数的挥、摆、扭刚度及桨叶线性密度为设计变量,进行最小质量及最大疲劳寿命的多目标优化。采用满足溢出分析的优化算法(Satisficing Trade-off Analysis)。结果在满足各约束条件下,实现旋翼桨叶质量减少7.27%,疲劳寿命循环次数由3.98×108次～4.73×108次,寿命提高了18.7%,优化效果明显。
Based on the Hamilton principle, the finite element dynamic model and the fatigue life calculation model of the rotor blades are derived. Taking the natural frequency and the inertia of the dynamic characteristics as constraints, the multi-objective optimization of the minimum mass and the maximum fatigue life is carried out with design parameters of swing, swing, torsional stiffness and linear density of blade as design variables. Satisficing Trade-off Analysis is used. Results Under the condition of satisfying all the constraints, the rotor blades reduced the mass by 7.27%, the fatigue life cycle number from 3.98 × 108 times to 4.73 × 108 times and the life expectancy increased by 18.7%, the optimization effect was obvious.