基于近似模型的空调配管阻尼层优化设计

郭亚娟;;孟光

振动与冲击 ›› 2013, Vol. 32 ›› Issue (6) : 185-189.

PDF(1595 KB)
PDF(1595 KB)
振动与冲击 ›› 2013, Vol. 32 ›› Issue (6) : 185-189.
论文

基于近似模型的空调配管阻尼层优化设计

  • 郭亚娟 1,2 , 孟光 3
作者信息 +

Optimization design of pipe’s damping layers of air condition based on approximation model

  • GUO Yajuan 1,2 , Meng Guang 3
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摘要

空调配管系统的减振降噪是空调结构开发中的一个设计难点,是制约空调整体品质的一个关键参数。针对空调仿真优化设计中计算成本和计算精度之间的矛盾,本文将统计学中的近似模型技术应用到空调配管系统的阻尼优化。采用正交试验设计与均匀试验设计相结合的试验设计方法,建立了多项式响应面、Kriging最优内插、BP神经网络近似模型,研究了阻尼层位置、宽度等参数与结构响应频率、阻尼比之间的近似映射关系。最后采用多目标遗传算法分析了结构阻尼比与结构质量之间的Pareto曲线,并选择最优结果进行了试验验证。研究表明,采用近似模型的阻尼层优化方法可以有效地提高设计效率,降低成本,为空调系统的仿真提供了一种可行的方法。

Abstract

The vibration and noise of pipe system is always a key problem which prevent the development of air condition. For finite element simulation of pipe system, the calculation precision contradicts the consumed time and cost. So, the approximation model method, which is based on the statistical theory, is applied to damping optimal design of pipe system in this paper. A hybrid experimental design approach including the orthogonal and uniform experimental design is introduced to produce the training data. The approximate model between the position, width of damping and frequency, damping ratio response are established by response surface method, Kriging and neural network. The Pareto curve between damping ratio and mass is got by NSGA-Ⅱ algorithm. At last, a test is carried out to validate the optimal result. In the damping optimization of pipe system, the approximation model methods enable to shorten the design process and reduce the computational cost, which give a feasible method of air condition simulation.

关键词

空调配管 / 近似模型 / 多目标优化 / 遗传算法

Key words

Pipe system of air condition / Approximation model / Mulit-objective optimization / Genetic algorithm

引用本文

导出引用
郭亚娟;;孟光 . 基于近似模型的空调配管阻尼层优化设计[J]. 振动与冲击, 2013, 32(6): 185-189
GUO Yajuan;;Meng Guang . Optimization design of pipe’s damping layers of air condition based on approximation model[J]. Journal of Vibration and Shock, 2013, 32(6): 185-189

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