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Time-integration for ALE simulations of Fluid-Structure Interaction problems: Stepsize and order selection based on the BDF

机译:用于流固耦合问题的ALE模拟的时间积分:基于BDF的步长和顺序选择

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We present an adaptive algorithm for time integration of fluid-structure integration problems. The method relies on a fully coupled procedure to solve FSI problems in which a naturally GCL-compliant ALE formulation for the finite-element spatial discretization is used. The main originality of the proposed solution procedure is that time integration is performed using automatic order and stepsize selections (hp-adaptivity) based on the Backward Differentiation Formulas (BDF). The stepsize selection is based on a local error estimate, an error controller and a step rejection mechanism. It guarantees that the solution precision is within the user targeted tolerance. The order selection is based on a stability test and a quarantine mechanism. The selection is performed to ensure that no other methods within the family of 0-stable BDF methods would produce a solution of the targeted precision for a larger stepsize (and thus a lower computational time). To improve efficiency, the time integration procedure also relies on a modified Newton method and a predictor. The time adaptive algorithm behaviors and performances are assessed on the vortex-induced translational and rotational vibrations of a square cylinder and on the wake-induced vibrations of 3 cylinders in an in-line arrangement. The algorithm yields substantial CPU time savings (compared to constant stepsize and order integration) while delivering solutions of prescribed accuracies. (C) 2015 Elsevier B.V. All rights reserved.
机译:我们提出了一种用于流固耦合问题时间积分的自适应算法。该方法依赖于完全耦合的程序来解决FSI问题,其中使用了自然GCL兼容的ALE公式进行有限元空间离散化。提出的解决方案过程的主要创意是,根据后向差分公式(BDF),使用自动排序和逐步选择(hp适应性)来执行时间积分。步进大小的选择基于本地误差估计,误差控制器和阶跃抑制机制。它保证了解决方案的精度在用户指定的公差范围内。订单选择基于稳定性测试和隔离机制。进行选择以确保0稳定BDF方法系列中的其他方法不会针对较大的步长(从而减少计算时间)产生目标精度的解决方案。为了提高效率,时间积分过程还依赖于改进的牛顿法和预测器。时间校正算法的行为和性能是在直角排列的方筒上由涡流引起的平移和旋转振动以及在3个圆柱体上由尾流引起的振动进行评估的。在提供规定精度的解决方案的同时,该算法可节省大量CPU时间(与恒定的步长和顺序集成相比)。 (C)2015 Elsevier B.V.保留所有权利。

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