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A thick shell model based on reproducing kernel particle method and its application in geometrically nonlinear analysis

机译:一种基于再现核颗粒法的厚壳模型及其在几何非线性分析中的应用

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摘要

A meshfree approach to the simulation of the large deformation of a curved shell by the reproducing kernel particle method (RKPM) is presented. Since the kinematic description is based on the Mindlin-Reissner shell theory, only one layer of particles is needed to model the shell and the time increment is not limited by the shell thickness. The reproducing interpolation function is adopted to discretize the kinematic quantities of the shell; thus, the spatial discretization is independent of the finite element mesh, so it can address large deformations without mesh distortion. The governing equation of an arbitrary curved shell is derived in detail based on the principle of virtual power, for which reasonable simplifications have been taken. The Lagrangian kernel and stress points are adopted in the calculation, which are sufficient to eliminate instability. Several numerical examples are performed, verifying the reliability and numerical accuracy of the RKPM shell model. No locking is observed in the numerical solutions.
机译:呈现了通过再现核颗粒方法(RKPM)进行弯曲壳的大变形模拟的网眼纤维。由于运动学描述基于Mindlin-Reissner壳理论,因此仅需要一层粒子来模拟外壳,并且时间增量不受壳厚度的限制。采用再现内插功能来离散壳体的运动量;因此,空间离散化独立于有限元网格,因此它可以解决没有网眼失真的情况而没有的大变形。任意弯曲壳的控制方程是基于虚拟电力原理的详细推导出来的,因为已经采取了合理的简化。利用拉格朗日内核和应力点在计算中采用,这足以消除不稳定。执行若干数值示例,验证RKPM Shell模型的可靠性和数值准确性。数值解决方案中没有观察到锁定。

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