学科间信息传递的参数化空间散乱数据插值法  

Parameterized Space Scatterd Data Interpolation Method forInterdisciplinary Information Transferring

作　　者：李磊[1] 于明[1] 李元生[1] 敖良波[1] 岳珠峰[1] 

机构地区：[1]西北工业大学工程力学系

出　　处：《航空制造技术》2011年第9期77-81,共5页Aeronautical Manufacturing Technology

基　　金：博士后基金(20100471634);西工大基础研究基金(JC20100231);西北工业大学种子基金项目资助;863计划(2009AA04Z418)

摘　　要：耦合信息传递是实现耦合系统求解的关键技术之一,本课题研究了参数空间散乱数据插值方法。为了避免三维插值空间平整性导致的插值误差,将三维耦合界面进行参数化处理,在参数空间中构造插值函数进行插值传递。针对径流式叶片的特点,进行了温度插值传递。从插值效果看,这种基于参数空间的数据插值方法保证了较高的插值精度。比较了反距离加权平均、kriging插值函数的插值效果。两种插值函数均达到了较高的插值精度,插值得到的结构表面温度场与原始温度场相比,除局部存在误差外基本保证一致,并且kriging插值函数由于对插值空间开展了最小无偏估计,较高地保证原始插值曲面的特性。Parameterized space data interpolation method for coupling information transferring on interdisciplinary surface is studied. The coupling surface is parameterized in order to improve interpolation precision. Taking centrifugal blade as subject, temperature is transferred from fluent to structure on based of two interpolation functions. The interpolation effect of inverse distance weighting average function and Kriging function are compared. The result shows that precisions of the two interpolation functions are both high. The distributions of temperature from the two interpolations are matched with origin distribution from fluent. Compared with inverse distance weighting average function, Kriging function guarantees the character of origin temperature yield due to the smallest unbiased estimation of interpolation space.

关 键 词：多学科设计优化 散乱数据插值 参数 空间 KRIGING 反距离加权平均 

分 类 号：O241.3[理学—计算数学]