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Gradient-enhanced Raviart-Thomas tetrahedron for finite-strain problems

机译:梯度增强的raviart-thomas四面体用于有限应变问题

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A new gradient-enhanced strain-tensor formulation for finite-strain problems is introduced, based on the Raviart-Thomas face-interpolation scheme and the Hellinger-Reissner variational principle. The screened-Poisson equation is employed to relate the kinematic Green-Lagrange strain with the mixed strain. The strain vector obtained from the face normals is now a (vector) degree-of-freedom at each face. In contrast with variational multiscale methods, there are no parameters to fit and stability in compression is verified. When compared with smoothed finite-elements, the formulation is straightforward and sparsity pattern of the classical system retained, albeit with high computational cost. In contrast with traditional gradient-enhanced formulations, a theoretically sound mixed formulation underlies the algorithm. High accuracy is obtained for four-node tetrahedra with incompressibility and bending benchmarks being solved. Traditional finite-strain benchmarks and a quasi-brittle damage numerical test are performed, with very competitive results. (C) 2020 Elsevier Ltd. All rights reserved.
机译:基于Rawiart-Thomas面部插值方案和Hellinger-Reissner变分原理,引入了一种新的梯度增强的应变张解体配方。采用屏蔽 - 泊松方程与混合菌株涉及运动型绿色拉伸菌株。从面正线获得的应变载体现在是(向量)在各个面上的自由度。与变分式多尺度方法相比,没有参数适合,并且验证压缩中的稳定性。与平滑的有限元素相比,制剂是保留的经典系统的直截了当,稀疏模式,尽管具有高计算成本。与传统的梯度增强配方相比,理论上声音混合配方呈下算法。对于四节点Tetrahedra,可以获得高精度,并解决了弯曲的基准。传统的有限菌株基准和准脆性损伤数值测试进行了非常竞争力的结果。 (c)2020 elestvier有限公司保留所有权利。

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