首页> 外文期刊>Computational Mechanics >Detection of flaws in a two-dimensional body through measurement of surface temperatures and use of conjugate gradient method
【24h】

Detection of flaws in a two-dimensional body through measurement of surface temperatures and use of conjugate gradient method

机译:通过测量表面温度和使用共轭梯度法检测二维物体中的缺陷

获取原文
获取原文并翻译 | 示例

摘要

This paper aims to obtain parameters (i.e. location and dimensions) relevant to flaws in a two-dimensional body by measuring the temperature on its boundaries. In this endeavour, a steady-state heat conduction problem is formulated, and the geometry under study is subjected to a known heat load, resulting in a specific heat distribution in the body. By using a number of heat sensors, the temperature at selected points on the boundary of the body is obtained. Inverse heat conduction methods implement these temperature data, working toward estimating the flaw parameters. The objective function is optimized using conjugate gradients method, and in solving the direct problem, an FEM code is employed. To check the effectiveness of this method, sample cases with one or more circular, elliptical cavities or cracks in the body, and a case with unknown cavity shape is solved. Finally the ensuing results analyzed.
机译:本文旨在通过测量二维物体边界上的温度来获取与二维物体中的缺陷相关的参数(即位置和尺寸)。为此,提出了稳态导热问题,并且所研究的几何形状受到已知的热负荷,从而导致体内特定的热量分布。通过使用多个热传感器,可以获取人体边界上选定点的温度。逆导热方法实现这些温度数据,以估算缺陷参数。使用共轭梯度法优化目标函数,并在解决直接问题时使用FEM代码。为了检查该方法的有效性,解决了在人体中具有一个或多个圆形,椭圆形空腔或裂纹的情况,并解决了空腔形状未知的情况。最后对结果进行了分析。

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