Mesoscopic representation of conventional concrete and rock-filled concrete: A novel FEM-SBFEM coupled approach

IF 5.3 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Weichi Xu, Yuande Zhou, Yutai Guo, Feng Jin
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Abstract

A thorough characterization of the mesostructure of concrete serves as a fundamental cornerstone for investigating its complex mechanical response at the mesoscale. A coupled FEM-SBFEM (Finite element method − scaled boundary finite element method) model is developed for mesoscopic modeling of conventional concrete (CC) and rock-filled concrete (RFC). This model incorporates a novel RAM (Random Aggregate Model) generation procedure based on Laguerre tessellation, allowing for the construction of coarse polyhedral aggregates with diverse grading schemes and adjustable aggregate volume fractions. Moreover, a framework has been developed for the automatic generation of prelaid rock skeletons, which accurately encapsulate the distinctive self-sustaining skeletal characteristics inherent to RFC. In a departure from conventional FEM, the SBFEM in this approach discretizes each coarse aggregate using a singular polyhedral element, resulting in a significant reduction in degrees of freedom. The proposed mesoscopic construction method is adopted for the prediction of elastic properties for both CC and RFC. Numerical samples of 48 CC specimens and 13 RFC specimens, with various aggregate volume fractions and rockfill ratios, are constructed using Monte Carlo simulations, and the results are compared with experimental and numerical data in literature. Statistical analyses are performed to investigate the impacts of aggregate volume fraction and anisotropic behavior on the elastic properties of CC and RFC. The results demonstrate that RFC exhibited an elastic modulus approximately 7.32 % higher than CC at the same coarse aggregate volume fractions. Furthermore, RFC exhibits a more substantial degree of anisotropy than CC. The proposed FEM-SBFEM coupled approach presents the capability to accurately predict the elastic behavior of concrete materials, and can be extended for a comprehensive investigation of the linear and nonlinear properties of actual RFC that comprises extremely coarse aggregates.
传统混凝土和岩石填充混凝土的介观表示:新型 FEM-SBFEM 耦合方法
对混凝土中观结构的全面描述是研究其在中观尺度上复杂力学响应的基础。我们开发了一种 FEM-SBFEM(有限元法-比例边界有限元法)耦合模型,用于传统混凝土(CC)和岩石填充混凝土(RFC)的中观建模。该模型采用了基于拉盖尔网格的新颖 RAM(随机骨料模型)生成程序,允许构建具有不同级配方案和可调骨料体积分数的粗多面体骨料。此外,还开发了一个自动生成预铺岩石骨架的框架,该框架准确地概括了 RFC 固有的独特自持骨架特征。与传统的有限元法不同,该方法中的 SBFEM 使用奇异多面体元素对每个粗集料进行离散,从而显著降低了自由度。在预测 CC 和 RFC 的弹性特性时,采用了所提出的介观构造方法。采用蒙特卡洛模拟构建了 48 个 CC 试件和 13 个 RFC 试件的数值样本,试件具有不同的骨料体积分数和填石比,并将结果与文献中的实验和数值数据进行了比较。通过统计分析,研究了骨料体积分数和各向异性行为对 CC 和 RFC 弹性特性的影响。结果表明,在粗骨料体积分数相同的情况下,RFC 的弹性模量比 CC 高出约 7.32%。此外,RFC 比 CC 表现出更大程度的各向异性。所提出的 FEM-SBFEM 耦合方法能够准确预测混凝土材料的弹性行为,并可扩展用于全面研究由极粗骨料组成的实际 RFC 的线性和非线性特性。
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来源期刊
Computers and Geotechnics
Computers and Geotechnics 地学-地球科学综合
CiteScore
9.10
自引率
15.10%
发文量
438
审稿时长
45 days
期刊介绍: The use of computers is firmly established in geotechnical engineering and continues to grow rapidly in both engineering practice and academe. The development of advanced numerical techniques and constitutive modeling, in conjunction with rapid developments in computer hardware, enables problems to be tackled that were unthinkable even a few years ago. Computers and Geotechnics provides an up-to-date reference for engineers and researchers engaged in computer aided analysis and research in geotechnical engineering. The journal is intended for an expeditious dissemination of advanced computer applications across a broad range of geotechnical topics. Contributions on advances in numerical algorithms, computer implementation of new constitutive models and probabilistic methods are especially encouraged.
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