dune-composites – A New Framework for High-Performance Finite Element Modelling of Laminates
dune-composites – A New Framework for High-Performance Finite Element Modelling of Laminates
复制标题
沙丘复合材料 – 层压板高性能有限元建模的新框架
DOI：
10.1016/j.compstruct.2017.09.104
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发表时间：
2018
影响因子：
6.3
通讯作者：
R. Scheichl
中科院分区：
文献类型：
--
作者：
A. Reinarz;T. Dodwell;T. Fletcher;L. Seelinger;R. Butler;R. Scheichl
有限元（FE）分析有可能抵消目前认证航空航天层压板所需的昂贵的实验测试。然而，大量的自由度是必要的，以模拟整个飞机部件，同时准确地解决微观缺陷。新的moduledune复合材料，实现DUNE的作者，提供了一个工具，有效地解决大规模的问题，使用新的迭代求解器。关键的创新是一个预处理器，它保证了恒定的迭代次数，而不管问题的大小。Spillane等人（2014）在各向同性问题中严格证明了其鲁棒性。对于复合材料中的各向异性问题，本文首次进行了数值验证。DUNE中的并行实现几乎可以在数千个核心上进行最佳扩展。为了证明这一点，我们提出了一个原始的数值研究，不同的局部皱纹的形状和效果，这对弯曲层压板的强度。这需要一个高保真度的网格，每个层和界面层上至少包含四层二次元素，强调了对fordune复合材料的需求，它可以在2048个核心上实现超过2分钟的运行时间，以解决具有1.73亿个自由度的实际复合材料问题。
Finite element (FE) analysis has the potential to offset much of the expensive experimental testing currently required to certify aerospace laminates. However, large numbers of degrees of freedom are necessary to model entire aircraft components whilst accurately resolving micro-scale defects. The new moduledune-composites, implemented within DUNE by the authors, provides a tool to efficiently solve large-scale problems using novel iterative solvers. The key innovation is a preconditioner that guarantees a constant number of iterations regardless of the problem size. Its robustness has been shown rigorously in Spillane et al. (2014) for isotropic problems. For anisotropic problems in composites it is verified numerically for the first time in this paper. The parallel implementation in DUNE scales almost optimally over thousands of cores. To demonstrate this, we present an original numerical study, varying the shape of a localised wrinkle and the effect this has on the strength of a curved laminate. This requires a high-fidelity mesh containing at least four layers of quadratic elements across each ply and interface layer, underlining the need fordune-composites, which can achieve run times of just over 2 min on 2048 cores for realistic composites problems with 173 million degrees of freedom.
影响因子：
8.4
作者：
Gan, Khong Wui;Allegri, Giuliano;Hallett, Stephen R.
通讯作者：
Hallett, Stephen R.
影响因子：
9.1
作者：
Dodwell, T. J.;Butler, R.;Hunt, G. W.
通讯作者：
Hunt, G. W.
DOI：
10.1016/j.compositesa.2015.07.007
发表时间：
2015-10-01
影响因子：
8.7
作者：
Mukhopadhyay, Supratik;Jones, Mike I.;Hallett, Stephen R.
通讯作者：
Hallett, Stephen R.