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Limit analysis of cracked structure by combination of extended finite element method with linear matching method

机译:扩展有限元法与线性匹配法相结合的裂缝结构极限分析

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Linear matching method (LMM) is one of the effective numerical methods for the limit and shakedown analysis, which computes the converging upper series by solving iteratively linear elastic analysis with Young’s modulus varying in space. LMM, which is capable of implementing by using the commercial finite element packages such as ABAQUS and ANSYS has been widely used in the practical applications including fatigue, creep and composite analysis. Nevertheless, LMM could not ensure numerical accuracy for discontinuous problems such as crack analysis since it computes the mechanical quantities including stress, strain and displacement on the base of conventional finite element method, likewise other numerical methods for the limit and shakedown analysis. Meanwhile, extended finite element method (XFEM), recently proposed, is an attractive numerical method for the analysis of discontinuous problems which enriches finite element approximate space by some special functions. In this paper, authors proposed a very straightforward method for the limit analysis by the combination of XFEM with LMM. Numerical validation is done for two types of typical fracture specimens. Numerical examples show that the limit analysis by combining XFEM with LMM gives more accurate result compared with the one by combining of conventional finite element method with LMM. Furthermore, we demonstrated that the choice of enrichment region plays an important role in the improvement of numerical accuracy of our proposed method.
机译:线性匹配法(LMM)是极限分析和沉降分析的有效数值方法之一,它通过求解杨氏模量在空间中变化的迭代线性弹性分析来计算收敛的上层级数。能够通过使用诸如ABAQUS和ANSYS之类的商业有限元软件包来实现的LMM已在包括疲劳,蠕变和复合分析在内的实际应用中被广泛使用。尽管如此,LMM不能确保诸如裂纹分析之类的不连续问题的数值精度,因为它基于常规有限元方法(包括极限分析和震荡分析的其他数值方法)来计算包括应力,应变和位移在内的机械量。同时,最近提出的扩展有限元方法(XFEM)是一种用于分析不连续问题的有吸引力的数值方法,它通过一些特殊函数丰富了有限元的近似空间。在本文中,作者通过XFEM和LMM的组合提出了一种非常简单的极限分析方法。对两种典型的断裂样本进行了数值验证。数值算例表明,与传统有限元法和LMM相结合的极限分析相比,XFEM和LMM相结合的极限分析给出了更准确的结果。此外,我们证明了富集区域的选择在提高我们提出的方法的数值精度方面起着重要作用。

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