王发杰, 张耀明, 公颜鹏. 改进的基本解法在薄体各向异性位势Cauchy问题中的应用[J]. 工程力学, 2016, 33(2): 18-24. DOI: 10.6052/j.issn.1000-4750.2014.07.0582
引用本文: 王发杰, 张耀明, 公颜鹏. 改进的基本解法在薄体各向异性位势Cauchy问题中的应用[J]. 工程力学, 2016, 33(2): 18-24. DOI: 10.6052/j.issn.1000-4750.2014.07.0582
WANG Fa-jie, ZHANG Yao-ming, GONG Yan-peng. INVERSE IDENTIFICATION OF BOUDARY CONDITIONS FOR ANISOTROPIC POTENTIAL PROBLEMS OF THIN BODY USING MFS[J]. Engineering Mechanics, 2016, 33(2): 18-24. DOI: 10.6052/j.issn.1000-4750.2014.07.0582
Citation: WANG Fa-jie, ZHANG Yao-ming, GONG Yan-peng. INVERSE IDENTIFICATION OF BOUDARY CONDITIONS FOR ANISOTROPIC POTENTIAL PROBLEMS OF THIN BODY USING MFS[J]. Engineering Mechanics, 2016, 33(2): 18-24. DOI: 10.6052/j.issn.1000-4750.2014.07.0582

改进的基本解法在薄体各向异性位势Cauchy问题中的应用

INVERSE IDENTIFICATION OF BOUDARY CONDITIONS FOR ANISOTROPIC POTENTIAL PROBLEMS OF THIN BODY USING MFS

  • 摘要: 该文提出一种改进的基本解法,应用于薄体各向异性位势边界条件识别反问题的研究。基本解法求解反问题所产生的线性系统往往是高度病态的,我们采用截断奇异值分解方法来求解,广义交叉校验准则用来确定正则化参数。正则化方法的使用大大地拓展了源点与真实边界间距离的选取范围,同时有效地降低了解的精度对"距离选择"的敏感度。算例的数值实验表明,该文方法简单、效率高,即使薄体结构的厚度小到纳米级,仍然可获得非常高精度的数值解。该文为二维薄体各向异性位势反问题的研究开辟了新的途径,也拓展了基本解法的应用领域。

     

    Abstract: An improved method of fundamental solutions is presented, and it is applied to the research of the inverse identification of Cauchy boundary conditions for 2D anisotropic potential thin body problems. In the process, the truncated singular value decomposition is used to solve the resulting matrix equation which is highly ill-conditioned, and the method of generalized cross validation criterion is used to select the truncated number associated with useful singular values. Owing to the use of regularization method, the selection range of the distance between the source point and the real boundary was greatly expanded, and the sensibility of accuracy of the numerical solutions resulting from the choice of the distance is also reduced. Numerical examples are tested to demonstrate the feasibility and accuracy of the proposed technique, even if the thickness of a thin body structure down to 1E-09, the method still can obtain a very highly accurate numerical solution. It provides a new approach for dealing with such problems. Meanwhile, it extends the application field of the method for fundamental solutions (MFS).

     

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