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方圣恩,张秋虎,林友勤.基于泰勒级数展开的区间反演方法[J].计算力学学报,2015,32(6):796~802
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基于泰勒级数展开的区间反演方法
An interval inverse solution method based on Taylor series expansion
投稿时间:2014-11-16  修订日期:2014-12-30
DOI:10.7511/jslx201506013
中文关键词:  区间反演  区间参数识别  泰勒级数展开  区间扩张  钢板
英文关键词:interval inverse solution  identification of interval parameters  Taylor series expansion  interval overestimation  steel plates
基金项目:国家自然科学基金(51108090);福建省自然科学基金(2011J05129);福建省高校杰出青年科研人才培育计划(JA12020);教育部留学回国人员科研启动基金(LXKQ201201)资助项目.
作者单位E-mail
方圣恩 福州大学 土木工程学院, 福州 350116 shengen.fang@fzu.edu.cn 
张秋虎 合肥工业大学 土木与水利工程学院, 合肥 230009  
林友勤 福州大学 土木工程学院, 福州 350116  
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中文摘要:
      实际结构或构件的几何与材料参数总包含不确定性,在对结构计算模型进行精确分析时,有时需要对参数不确定性进行量化。本文提出了一种用于区间参数识别的反演方法,即基于泰勒级数展开式分别建立参数与响应的区间中值、区间半径的对应函数关系,并通过构建两个反演问题来分步识别参数区间中值和半径,以避免区间扩张现象和简化优化反演过程。通过数值质-弹系统初步验证了方法的可行性,然后基于一组钢板的动测数据,识别了钢板的几何及材料特性参数的区间范围。研究结果表明,本文方法具有良好的区间反演精度,能有效地避免区间扩张现象,可以用于实际工程区间问题的求解。
英文摘要:
      The geometric and material parameters of real-world structures always contain uncertainties.Sometimes such uncertainties should be quantified when precise analyses of structural computational models are required.An inverse problem for identifying interval parameters has been developed in this study.The relationships of mid-values and radii between interval parameters and responses were first established using Taylor series expansion.Then two inverse problems were formed to identify the mid-values and radii of parameters in a successive way.By this means the phenomenon of interval overestimation was maximally avoided and the process of inverse optimization was highly simplified.The proposed method has firstly been verified against a numerical mass-spring system.Subsequently using the measured modal data of a set of steel plates,the intervals of the geometric and material parameters of the plates were identified.The analysis results demonstrate that the method provides satisfactory accuracy and precision in solving interval inverse problems.Interval overestimation can be effectively restrained.Therefore,the method can be applied to solving practical engineering problems having interval uncertainties.
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