Adaptive mixed least squares Galerkin/Petrov finite element method for stationary conduction convection problems

An adaptive mixed least squares Galerkin/Petrov finite element method (FEM) is developed for stationary conduction convection problems. The mixed least squares Galerkin/Petrov FEM is consistent and stable for any combination of discrete velocity and pressure spaces without requiring the Babuska-Brezzi stability condition. Using the general theory of Verfürth, the posteriori error estimates of the residual type are derived. Finally, numerical tests are presented to illustrate the effectiveness of the method.     

应力和位移约束下连续结构的有效拓扑优化方法

为了解决在拥有位移与应力多个约束条件下,以减少结构重量为目标函数的拓扑优化中多约束难处理的问题,本文研究了以位移约束、应力约束、应变能约束重量最小化为目标的拓扑优化关系.通过对目标函数与约束函数的解析敏度推导,证明了它们之间的等价性.得到的准则方程表明:在最优结构中,单元质量与该单元应变能之比等于结构总质量与结构总应变能之比.由于迭代准则方程中的各项都可以在 ANSYS 有限元分析中直接提取,也不必计算乘子,从而减少了优化过程中的函数调用次数,加快了优化速度.两个算例说明了该方法的简单、高效与适用性.     

Adaptive mixed least squares Galerkin/Petrov finite element method for stationary conduction convection problems

An adaptive mixed least squares Galerkin/Petrov finite element method (FEM) is developed for stationary conduction convection problems. The mixed least squares Galerkin/Petrov FEM is consistent and stable for any combination of discrete velocity and pressure spaces without requiring the Babuska-Brezzi stability condition. Using the general theory of Verfürth, the posteriori error estimates of the residual type are derived. Finally, numerical tests are presented to illustrate the effectiveness of the method.     

热传导对流问题的自适应最小二乘Galerkin/Petrov混合有限元法

对热传导对流问题提出了自适应Galerkin/Petrov最小二乘混合有限元法.该算法对任何速度和压力有限元空间的组合是相容和稳定的(不需要满足Babu(s)ka-Brezzi稳定性条件).利用Verfürth的一般理论,得到了热传导对流问题的残量型的后验误差估计.最后通过几个数值算例验证了方法的有效性.