首页> 外文期刊>Engineering analysis with boundary elements >Boundary element methods for boundary condition inverse problems in elasticity using PCGM and CGM regularization
【24h】

Boundary element methods for boundary condition inverse problems in elasticity using PCGM and CGM regularization

机译:使用PCGM和CGM正则化的弹性边界条件反问题的边界元方法

获取原文
获取原文并翻译 | 示例
       

摘要

For an isotropic linear elastic body, only displacement or traction boundary conditions are given on a part of its boundary, whilst all of displacement and traction vectors are unknown on the rest of the boundary. The inverse problem is different from the Cauchy problems. All the unknown boundary conditions on the whole boundary must be determined with some interior points' information. The preconditioned conjugate gradient method (PCGM) in combination with the boundary element method (BEM) is developed for reconstructing the boundary conditions, and the PCGM is compared with the conjugate gradient method (CGM). Morozov's discrepancy principle is employed to select the iteration step. The analytical integral algorithm is proposed to treat the nearly singular integrals when the interior points are very close to the boundary. The numerical solutions of the boundary conditions are not sensitive to the locations of the interior points if these points are distributed along the entire boundary of the considered domain. The numerical results confirm that the PCGM and CGM produce convergent and stable numerical solutions with respect to increasing the number of interior points and decreasing the amount of noise added into the input data.
机译:对于各向同性的线性弹性体,仅在其一部分边界上给出了位移或牵引边界条件,而在边界的其余部分上所有位移和牵引矢量都是未知的。反问题不同于柯西问题。必须使用一些内部点的信息来确定整个边界上所有未知的边界条件。开发了结合边界元法(BEM)的预处理共轭梯度法(PCGM)来重构边界条件,并将PCGM与共轭梯度法(CGM)进行了比较。采用莫罗佐夫的差异原理来选择迭代步骤。提出了一种解析积分算法,当内部点非常靠近边界时处理近似奇异积分。如果边界点的数值解沿所考虑区域的整个边界分布,则它们对内部点的位置不敏感。数值结果证实了PCGM和CGM在增加内部点数和减少添加到输入数据中的噪声量方面产生了收敛且稳定的数值解。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号