首页> 外文期刊>Applied Mathematical Modelling >Inverse solutions of temperature, heat flux and heat source by the Green element method
【24h】

Inverse solutions of temperature, heat flux and heat source by the Green element method

机译:Green单元法求解温度,热通量和热源的逆解

获取原文
获取原文并翻译 | 示例
           

摘要

In two spatial dimensions, inverse heat conduction problems of temperature, heat flux and heat source recovery are solved in homogeneous and heterogeneous media for steady and transient cases by the Green element method (GEM). The formulation of GEM employed is presented in Taigbenu (2012) and it uses a second-order difference expression to approximate the internal normal fluxes and, therefore, gives accuracy comparable to the flux-based formulation. The Tikhonov regularization with the singular value decomposition (SVD) are used to solve in a least square sense the over-determined, ill-conditioned discrete equations arising from the element-by-element implementation of the singular integral equations. With seven numerical examples, the numerical characteristics of the GEM are evaluated for inverse problems where it is required to recover the temperature, heat flux and heat source from available data. In some of the examples, the performance of the formulation is evaluated when random errors are introduced into the measured data. Excellent results are obtained from the simulated numerical examples, and more especially that these results are obtained with coarse grids.
机译:在两个空间维度上,通过格林元方法(GEM)解决了稳态和瞬态情况下均质和非均质介质中温度,热通量和热源回收的逆导热问题。 Taigbenu(2012)中介绍了采用的GEM公式,它使用二阶差分表达式来近似内部法向通量,因此,其精度可与基于通量的公式相提并论。带有奇异值分解(SVD)的Tikhonov正则化用于在最小二乘意义上求解因奇异积分方程的逐个元素实现而产生的过度确定的病态离散方程。通过七个数值示例,对GEM的数值特性进行了评估,以解决需要从可用数据中恢复温度,热通量和热源的逆问题。在一些实例中,当将随机误差引入测量数据中时,评估制剂的性能。从模拟的数值示例中获得了极好的结果,尤其是使用粗网格获得了这些结果。

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