An interior penalty discontinuous Galerkin method is devised to approximate minimizers of a linear folding model by discontinuous isoparametric finite element functions that account for an approximation of a folding arc. The numerical analysis of the discrete model includes an a priori error estimate in case of an accurate representation of the folding curve by the isoparametric mesh. Additional estimates show that geometric consistency errors may be controlled separately if the folding arc is approximated by piecewise polynomial curves. Various numerical experiments are carried out to validate the a priori error estimate for the folding model.
翻译:Galerkin 内部惩罚不连续法是用来通过计算折叠弧的近似值的不连续等同参数限定元素功能来接近线性折叠模型的最小化器。离散模型的数值分析包括一个先验错误估计,如果折叠曲线以等对数网格准确表示的话。其他估计表明,如果折叠弧以小曲多圆曲线相近,则几何一致性错误可以分开控制。为了验证折叠模型的先验错误估计值,进行了各种数字实验。