混凝土断裂扩展预测的中观相场模型框架

IF 7.3 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Songsong Meng, Maurizio Guadagnini, Giacomo Torelli, Iman Hajirasouliha, Kypros Pilakoutas
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引用次数: 0

摘要

在细观水平上捕捉胶凝材料中的裂纹发展对于分析裂纹形态和破坏机制至关重要。本文介绍了一种混凝土中尺度模型,该模型利用随机填充来生成骨料、界面过渡区(ITZ)和砂浆的几何和空间分布。在相场模型中引入了Drucker-Prager屈服准则,以解释砂浆和ITZ的弹塑性行为。采用应变张量的谱分解来模拟多孔材料的非对称拉伸和压缩损伤行为。该模型的参数是根据混凝土和砂浆试件的压缩和弯曲试验数据进行校准的,包括裂缝起裂和扩展的详细信息。最后,根据文献中的数据对模型进行验证,包括复杂的加载场景和应力场,如三轴压缩和压缩-剪切。预测结果与试验结果一致,证实了所提出的方法有效地捕获了混凝土中的裂纹扩展。这项工作将导致混凝土开裂机制和长期行为更准确的预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Meso-scale phase-field modelling framework for predicting fracture propagation in concrete
Capturing crack development in cementitious materials at the mesoscopic level is crucial for analysing crack patterns and failure mechanisms. This paper introduces a meso‑scale model for concrete that utilizes random packing to generate the geometry and spatial distribution of aggregate, interfacial transition zone (ITZ) and mortar. The Drucker-Prager yield criterion is introduced in this phase-field model to account for the elasto-plastic behaviour of the mortar and the ITZ. The spectral decomposition of the strain tensor is employed to model the asymmetric tension and compression damage behaviour of porous materials. The parameters of the proposed model are calibrated on experimental data obtained from compressive and flexural tests of concrete and mortar specimens, including detailed information on crack initiation and propagation. Finally, the model is validated against data from the literature including complex loading scenarios and stress fields, such as triaxial compression and compression-shear. The predictions show strong agreement with the experimental results, confirming that the proposed methodology effectively captures crack propagation in concrete. This work will lead to more accurate predictions of concrete cracking mechanisms and long-term behaviour.
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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
期刊介绍: Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.
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