...
首页> 外文期刊>SIAM Journal on Scientific Computing >Least-squares mixed finite element solution of variably saturated subsurface flow problems
【24h】

Least-squares mixed finite element solution of variably saturated subsurface flow problems

机译:饱和饱和地下流动问题的最小二乘混合有限元解

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

A least-squares mixed finite element formulation is applied to the nonlinear elliptic problems arising in each time-step of an implicit Euler discretization for variably saturated ow problems. This approach simultaneously constructs approximations to the flux in Raviart-Thomas spaces and to the hydraulic potential by standard H-1-conforming linear finite elements. Two important properties of the least-squares approach are investigated in detail: the local least-squares functional provides an a posteriori error estimator and Gauss Newton methods are robust iterative solvers for the resulting nonlinear least-squares problems. Computational experiments conducted for a realistic water table recharge problem illustrate the effectiveness of this approach. [References: 31]
机译:最小二乘混合有限元公式适用于非线性椭圆问题,该问题在可变饱和流问题的隐式Euler离散化的每个时间步中出现。这种方法通过标准的H-1线性有限元同时构造了Raviart-Thomas空间中的通量和水力势的近似值。详细研究了最小二乘法的两个重要属性:局部最小二乘函数提供了后验误差估计器,而高斯牛顿法则是针对由此产生的非线性最小二乘问题的鲁棒迭代求解器。针对实际的地下水位补给问题进行的计算实验证明了这种方法的有效性。 [参考:31]

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