An extended isogeometric collocation method for fracture analysis

IF 2.7 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Farshid Fathi, Jeremy E. Oakley, René de Borst
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引用次数: 0

Abstract

A collocation method is developed for discrete fracture models in the context of the partition-of-unity method. Spline technologies used in isogeometric analysis (IGA) are exploited to provide a smooth inter-element transition of gradients, thus allowing to get rid of extra flux terms at element boundaries which are generated by Lagrange polynomials. Bézier extraction is utilised to formulate IGA commensurate with a standard finite element data-structure. The efficacy of the proposed approach is examined through different numerical examples and is compared with other discrete methods for fracture analysis. The proposed approach is competitive in terms of accuracy with the least computational cost, rendering it a suitable candidate for superseding available collocation approaches for fracture simulation. Moreover, the approach naturally assesses the possibility of physics informed neural networks for fracture simulation, to which collocation is central.

Abstract Image

用于断裂分析的扩展等距配位法
在统一分割法的背景下,为离散断裂模型开发了一种配位方法。利用等几何分析(IGA)中使用的样条线技术,提供平滑的元素间梯度过渡,从而摆脱元素边界上由拉格朗日多项式产生的额外通量项。贝塞尔提取法被用来制定与标准有限元数据结构相称的 IGA。通过不同的数值实例检验了所提方法的功效,并与其他用于断裂分析的离散方法进行了比较。所提出的方法在精度方面具有竞争力,而且计算成本最低,因此适合取代现有的断裂模拟配位方法。此外,该方法自然而然地评估了用于断裂模拟的物理信息神经网络的可能性,而配准是断裂模拟的核心。
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来源期刊
CiteScore
5.70
自引率
6.90%
发文量
276
审稿时长
5.3 months
期刊介绍: The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems. The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.
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