高阶有限梁元素的网格目标特征元素长度

IF 4 2区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Advances in Engineering Software Pub Date : 2024-06-26 DOI:10.1016/j.advengsoft.2024.103709
J. Shen , M.R.T. Arruda , A. Pagani , M. Petrolo
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引用次数: 0

摘要

使用断裂能正则化技术可以有效缓解准脆性材料应变软化行为导致的数值解的网格依赖性。然而,正则化的成功与否取决于对有限元求解中裂纹带宽的正确估计。本文旨在提出一种增强的裂纹带公式,以克服应变局部化不稳定性,尤其是在卡雷拉统一公式(CUF)框架下开发的高阶元素。此外,本文还采用了包含断裂能量正则化的改进 Mazars 损伤方法来描述混凝土的非线性损伤行为。为了评估所提出的裂缝带公式的效率,我们选择了三个混凝土实验基准进行损伤数值分析。通过比较数值结果和实验结果,尽管有限元数量和阶数不同,所提出的方法仍能保证网格的客观性,这表明在所提出的高阶梁模型中,断裂能量消耗得到了有效控制。
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Mesh objective characteristic element length for higher-order finite beam elements

The use of fracture energy regularization techniques can effectively mitigate the mesh dependency of numerical solutions caused by the strain softening behavior of quasi-brittle materials. However, the successful regularization depends on the correct estimation of the crack bandwidth in Finite Element solutions. This paper aims to present an enhanced crack band formulation to overcome the strain localization instability especially for the higher-order elements developed in the framework of Carrera Unified Formulation (CUF). Besides, a modified Mazars damage method incorporating fracture energy regularization is employed to describe the nonlinear damage behavior of the concrete. To evaluate the efficiency of the proposed crack band formulation, three experimental concrete benchmarks are selected for the numerical damage analysis. By comparing numerical and experimental results, the proposed method can guarantee mesh objectivity despite varying finite element numbers and orders, indicating perseved fracture energy consumption within proposed higher-order beam models.

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来源期刊
Advances in Engineering Software
Advances in Engineering Software 工程技术-计算机:跨学科应用
CiteScore
7.70
自引率
4.20%
发文量
169
审稿时长
37 days
期刊介绍: The objective of this journal is to communicate recent and projected advances in computer-based engineering techniques. The fields covered include mechanical, aerospace, civil and environmental engineering, with an emphasis on research and development leading to practical problem-solving. The scope of the journal includes: • Innovative computational strategies and numerical algorithms for large-scale engineering problems • Analysis and simulation techniques and systems • Model and mesh generation • Control of the accuracy, stability and efficiency of computational process • Exploitation of new computing environments (eg distributed hetergeneous and collaborative computing) • Advanced visualization techniques, virtual environments and prototyping • Applications of AI, knowledge-based systems, computational intelligence, including fuzzy logic, neural networks and evolutionary computations • Application of object-oriented technology to engineering problems • Intelligent human computer interfaces • Design automation, multidisciplinary design and optimization • CAD, CAE and integrated process and product development systems • Quality and reliability.
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