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Stressintensity Factorbyp-adaptive Refinement Based On Ordinary Kriging Interpolation

机译:基于普通克里格插值的自适应应力强度因子细化

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This paper aims at achieving two specific objectives. The first one is to examine the applicability of ordinary Kriging (OK) interpolation to the finite element method based on variogram modeling, and the second one is to present an adaptive procedure for hierarchical p-refinement in conjunction with a posteriori error estimator based on the modified superconvergent patch recovery (S.P.R.) method. For this purpose, the weighted least-square method is applied to predict the exact solution from derivative values computed at the Gauss points. The weight factor is determined by experimental and theoretical variogram-based interpolation of derivative data, in contrast to conventional interpolation methods based on an equal weight factors. In the p-refinement, the analytical domain is refined automatically to obtain an acceptable level of accuracy, by a selective increment of the p-level. To verify the performance of the modified S.P.R. method, a new error estimator based on the limit value is proposed. The validity of the proposed approach is tested by analyzing two-dimensional cracked plates under tension modeled with quadrilateral elements.
机译:本文旨在实现两个具体目标。第一个是研究普通Kriging(OK)插值在基于变异函数建模的有限元方法中的适用性,第二个是结合基于后验误差估计器的分层p细化提出一种自适应程序。改进的超收敛补丁恢复(SPR)方法。为此,使用加权最小二乘法来根据在高斯点处计算出的导数值预测精确解。与基于等权重因子的常规插值方法相比,权重因子是通过基于实验和理论方差图的导数数据插值确定的。在p优化中,通过有选择地增加p级,可以自动优化分析域以获得可接受的精度水平。验证修改后的S.​​P.R.该方法提出了一种基于极限值的误差估计器。通过在四边形单元模型下对二维裂纹板进行分析,测试了该方法的有效性。

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