期刊文献+

考虑预测误差的模型内插与外推 被引量:1

Interpolation and Extrapolation Considering the Model Prediction Error
下载PDF
导出
摘要 对结构进行评估时,常需要利用模型的内插与外推结果,且模型的不确定性也是需要考虑的一个重要因素。针对模型参数空间的内插外推问题,基于确定性计算模型并联合多次试验结果,计算得到预测误差的不确定性;接着对预测误差的均值与标准差进行函数拟合;并且考虑函数拟合带来的不确定性。通过双层抽样分析得到预测误差的置信区间,再叠加上预测点确定性计算结果,进而得到预测结果的置信区间。最后通过不同拧紧力矩下某根部柔性悬臂梁的内插与外推应用,检验了该方法的有效性。 The interpolation and extrapolation resultare usually needed to evaluate the structural design. Also, the uncertainty of the model ian importanfactoto consider. The interpolation and extrapolation problem in the parametespace iresearched. Firstly the uncertain prediction errorare obtained by combining the deterministianalysiresultand the multi-tesresults. Then the mean and standard deviation are fitted by the uncertain predic- tion errors, the uncertainty of function fitting iconsidered also. Thirdly the erroconfidence interval of prediction position icalculated by the fitting function and double level sample method. Lastly the confidence interval of pre- diction resuliobtained by adding the certain calculation resulathe prediction position. The efficiency of the method ivalidated by the flexible roocantilevesubjected to differenpreload.
出处 《科学技术与工程》 北大核心 2013年第33期9916-9921,共6页 Science Technology and Engineering
基金 中国工程物理研究院科学技术发展基金课题(2011A0203010 2013A0203007)资助
关键词 预测误差 内插 外推 不确定性 prediction error interpolation extrapolation uncertainty
  • 相关文献

参考文献6

  • 1Mottershead J E,Friswell M I.Model updating in structural dynamics:a survey.Journal of Sound and Vibration,1993; 167 (2):347-375.
  • 2王善,何健.导弹结构可靠性.哈尔滨:哈尔滨工程大学出版社,2002.1-10.
  • 3Ladeveze P,Puel G,Deraemaeker A,et al.Validation of structural dynamics model with uncertainties.Comput.Methods Appl.Mech.Engrg,2002; 191:1639-1675.
  • 4Moens D,Vandepitte D.A survey of non-probabilistic uncertainty treatment in finite element analysis.Comput.Methods Appl.Mech.Engrg.2005 ; 194:1527-1555.
  • 5Oberkampf W L,Roy C J.Verification and validation in scientific computing.Cambridge:Cambridge University Press,2010.
  • 6Roy C J,Oberkampf W L.A comprehensive framework for verification,validation,and uncertainty ouantification in scientific computing.Computer Methods in Applied Mechanics and Engineering,2011 ; 200:2131-2144.

共引文献1

同被引文献12

  • 1Burnham KP,Anderson DR. Model Selection and Multi-Model Inference:A Practical Information-Theoretic Ap-proach. New York:Springer-Verlag,2002.
  • 2Clemen RT. Combining forecasts:a review and annotatedbibliography. International Journal of Forecasting,1989,5(4):559-583.
  • 3Leamer EE. Speci?cation Searches:Ad Hoc Inference withNon-Experimental Data. New York:John Wiley & Sons,1978. 15-90.
  • 4Zio E,Apostolakis G. Two methods for the structured as-sessment of model uncertainty by experts in performanceassessments of radioactive waste repositories. ReliabilityEngineering and System Safety,1996,54(2-3):225-241.
  • 5Nilsen T,Aven T. Models and model uncertainty in thecontext of risk analysis. Reliability Engineering and Sys-tem Safety,2003,79(3):309-317.
  • 6Alvin KF,Oberkampf WL,Diegert KV,et al. Uncertaintyquanti?cation in computational structural dynamics:a newparadigm for model validation. The 16th InternationalModal Analysis Conference,Santa Barbara,CA,1998.
  • 7Reinert JM,Apostolakis GE. Including model uncertaintyin risk-informed decision making. Annals of Nuclear En-ergy,2006,33(4):354-369.
  • 8Inseok P,Hemanth KA,Ramana VG. A Bayesian approachfor quanti?cation of model uncertainty. Reliability Engi-neering and System Safety,2010,95:777-785.
  • 9Oberkampf WL,Roy CJ. Veri?cation and Validation inScienti?c Computing. Cambridge:Cambridge UniversityPress,2010. 75-110.
  • 10Roy CJ,Oberkampf WL. A comprehensive framework forveri?cation,validation,and uncertainty quanti?cation inscienti?c computing. Computer Methods in Applied Me-chanics and Engineering,2011,200:2131-2144.

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部