论文部分内容阅读
研究一种将参数化建模、有限元仿真、疲劳分析和数值寻优算法相结合的伸缩臂优化方法。建立了随车起重机伸缩臂的参数化模型,进行不同工况下的伸缩臂动静态性能和疲劳寿命分析,并对模型进行了试验验证。以伸缩臂外形尺寸为设计变量,利用最优拉丁方试验设计方法建立样本空间,构造径向基函数近似模型。在此基础上,建立了伸缩臂的涉及到动静态性能、疲劳寿命及自身重量的多目标优化方法及模型。优化结果表明,在保证动静态性能和寿命要求的条件下,伸缩臂重量减少了6.76%。
A telescopic boom optimization method combining parametric modeling, finite element simulation, fatigue analysis and numerical optimization algorithm is studied. The parametric model of truck crane telescopic boom was established. The dynamic and static performance and fatigue life of telescopic boom under different working conditions were analyzed. The model was verified by experiments. Taking the size of telescopic arm as design variable, the optimal Latin square experimental design method is used to establish the sample space and the radial basis function approximation model is constructed. On this basis, a multi-objective optimization method and model of the telescopic boom involving the static and dynamic performance, the fatigue life and the self-weight are established. The optimization results show that the weight of the telescopic arm is reduced by 6.76% under the condition of ensuring the static and dynamic performance and life expectancy.