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Multi-scale numerical analysis for linear elastic behavior of clay concrete
International Journal of Solids and Structures ( IF 3.4 ) Pub Date : 2020-10-01 , DOI: 10.1016/j.ijsolstr.2020.07.014
Zhaoqing Fu , Huaizhi Su , Zhiping Wen

Abstract Clay concrete is the main material of the embankment dam impervious wall, and its linear elastic property has significant influence on safe operation of dam impervious system. To deeply study the linear elastic property of clay concrete, this paper combines the multi-scale and multi-phase structure characteristics of the material and proposes a multi-scale analyses method to conduct the material research at the mechanism level. In this paper, the clay concrete material is firstly divided into several scales based on the scale information of different phases inside the material. Afterwards, on the basis of micro hydration law of clay and cement, a random adjoint growth model is established for the reconstruction of microscopic RVE of clay concrete. And reconstruction of the mesoscopic and macroscopic RVEs of clay concrete are conducted by randomly placing spherical inclusions in the research area. To establish the relationship between the linear elastic properties of each scale model, the homogenization method is applied to calculate the equivalent linear elastic property on the coarse scale according to the reconstruction of the fine scale model. And the macro-scale linear elastic property of the clay concrete can finally be obtained by the progressive homogenization process from the micro-scale model to the macroscopic model.

中文翻译:

粘土混凝土线弹性行为的多尺度数值分析

摘要 粘土混凝土是堤坝防渗墙的主要材料,其线弹性性能对坝防渗系统的安全运行有重要影响。为深入研究黏土混凝土的线弹性特性,本文结合材料的多尺度、多相结构特点,提出多尺度分析方法,从机理层面进行材料研究。本文首先根据材料内部不同相的尺度信息将粘土混凝土材料划分为若干尺度。之后,根据粘土和水泥的微水化规律,建立了随机伴随生长模型,用于重建粘土混凝土的微观RVE。并通过在研究区随机放置球形夹杂物来重建粘土混凝土的细观和宏观RVE。为建立各尺度模型线弹性特性之间的关系,根据细尺度模型的重构,采用均质化方法计算粗尺度上的等效线弹性特性。而粘土混凝土的宏观线弹性性能最终可以通过从微观模型到宏观模型的渐进均质化过程得到。根据对细尺度模型的重构,在粗尺度上应用均质化方法计算等效线弹性。而粘土混凝土的宏观线弹性性能最终可以通过从微观模型到宏观模型的渐进均质化过程得到。根据对细尺度模型的重构,在粗尺度上应用均质化方法计算等效线弹性。而粘土混凝土的宏观线弹性性能最终可以通过从微观模型到宏观模型的渐进均质化过程得到。
更新日期:2020-10-01
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