Complex-Geometry IGA Mesh Generation: application to structural vibrations

IF 3.7 2区 工程技术 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Computational Mechanics Pub Date : 2024-01-09 DOI:10.1007/s00466-023-02432-6
Elizaveta Wobbes, Yuri Bazilevs, Takashi Kuraishi, Yuto Otoguro, Kenji Takizawa, Tayfun E. Tezduyar
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Abstract

We present an isogeometric analysis (IGA) framework for structural vibrations involving complex geometries. The framework is based on the Complex-Geometry IGA Mesh Generation (CGIMG) method. The CGIMG process is flexible and can accommodate, without a major effort, challenging complex-geometry applications in computational mechanics. To demonstrate how the new IGA framework significantly increases the computational effectiveness, in a set of structural-vibration test computations, we compare the accuracies attained by the IGA and finite element (FE) method as the number of degrees-of-freedom is increased. The results show that the NURBS meshes lead to faster convergence and higher accuracy compared to both linear and quadratic FE meshes. The clearly defined IGA mesh generation process and significant per-degree-of-freedom accuracy advantages of IGA over FE discretization make IGA more accessible, reliable, and attractive in applications of both academic and industrial interest. We note that the accuracy of a structural mechanics discretization, which may be assessed through eigenfrequency analysis, plays an important role in the overall accuracy of fluid–structure interaction computations.

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复杂几何 IGA 网格生成:应用于结构振动
我们为涉及复杂几何结构的结构振动提出了一个等几何分析(IGA)框架。该框架基于复杂几何 IGA 网格生成(CGIMG)方法。CGIMG 流程非常灵活,可以不费吹灰之力地适应计算力学中具有挑战性的复杂几何应用。为了展示新的 IGA 框架如何显著提高计算效率,在一组结构振动测试计算中,我们比较了随着自由度数的增加,IGA 和有限元(FE)方法所达到的精度。结果表明,与线性和二次 FE 网格相比,NURBS 网格收敛更快,精度更高。与 FE 离散化相比,IGA 网格生成过程定义明确,单位自由度精度优势显著,这使得 IGA 在学术和工业应用中更容易获得、更可靠、更有吸引力。我们注意到,结构力学离散化的精度可通过特征频率分析进行评估,它在流固耦合计算的整体精度中发挥着重要作用。
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来源期刊
Computational Mechanics
Computational Mechanics 物理-力学
CiteScore
7.80
自引率
12.20%
发文量
122
审稿时长
3.4 months
期刊介绍: The journal reports original research of scholarly value in computational engineering and sciences. It focuses on areas that involve and enrich the application of mechanics, mathematics and numerical methods. It covers new methods and computationally-challenging technologies. Areas covered include method development in solid, fluid mechanics and materials simulations with application to biomechanics and mechanics in medicine, multiphysics, fracture mechanics, multiscale mechanics, particle and meshfree methods. Additionally, manuscripts including simulation and method development of synthesis of material systems are encouraged. Manuscripts reporting results obtained with established methods, unless they involve challenging computations, and manuscripts that report computations using commercial software packages are not encouraged.
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