根据混凝土材料的细观组成和结构特点,基于三维Voronoi图形提出了一种简单高效的混凝土细观模型生成方法,利用塑性损伤模型对该细观模型进行了单、多轴应力状态下的准静态分析以及SHPB动态有限元分析。结果表明,数值模拟得到的应力应变曲线和破坏模式与实验结果基本吻合,本文中提出的混凝土三维细观模型可较好地模拟混凝土的静、动态力学特性,为进一步从细观力学角度研究混凝土损伤演化规律和破坏机理提供了模型基础。

非均质复合材料的宏观力学性能往往取决于细观组分的分布方式和力学性能,但是建立明确的关系表达式极其困难.为了应对这一挑战,以混凝土为研究对象,提出了一种基于深度学习的策略,能够高效、准确地通过细观模型图像信息获取应力-应变曲

钢筋混凝土梁在使用过程中内部的微裂缝和缺陷逐渐衍生扩展导致混凝土发生开裂。冲击荷载下钢筋混凝土缺口梁的承载性能和能量耗散与无缺口梁明显不同。为了合理评估钢筋混凝土缺口梁的抗冲击性能,利用落锤冲击试验机对不同配筋率的钢

骨料是混凝土材料的重要承载组分,其体积分数、级配等参数对混凝土材料的承载能力及损伤演化影响显著。本文提出了一种可以控制骨料体积分数、级配、粒径尺寸的三维骨料模型建模方法,相比于传统的随机投放方法和"分割-填充"方法,具有运算简便的优势。该方法基于对Voronoi图形胞腔的缩放和偏移,可以快速、有效地生成满足不同骨料参数设计要求的三维细观混凝土模型。用该方法生成的混凝土细观模型进行劈裂抗拉数值模拟,通过分析骨料体积分数、级配对劈裂抗拉强度的影响和试件内的应力分布情况,进一步分析了骨料对混凝土材料力学性能的影响机理。依据该方法建立的混凝土细观模型,可用于各类力学响应实验的研究,并深入探究骨料参数对混凝土力学性能的影响。

动态加载下,混凝土中钢筋的阻裂性能一直是冲击动力学研究领域的难点之一。利用落锤试验机对含缺口的混凝土少筋梁进行三点弯曲试验,分析了不同加载速率下梁的冲击力、跨中挠度、混凝土起裂应变率和钢筋应变。实验结果表明:在一定加载

混凝土的细观侵彻破坏机理已成为工程防护领域的重要研究方向.本文以三维混凝土细观模型为基础,系统分析了刚性弹正侵彻混凝土过程中,骨料强度、粒径、体积分数等主要细观参量对弹体偏转及侵彻阻力的影响规律.明确了深侵彻过程中弹体偏

The mechanical properties and fracture behaviour of concretes under different triaxial stress states were investigated based on a 3D mesoscale model. The quasistatic triaxial loadings, namely, compression-compression-compression (C-C-C), compression-tension-tension (C-T-T) and compression-compression-tension (C-C-T), were simulated using an implicit solver. The mesoscopic modelling with good robustness gave reliable and detailed damage evolution processes under different triaxial stress states. The lateral tensile stress significantly influenced the multiaxial mechanical behaviour of the concretes, accelerating the concrete failure. With low lateral pressures or tensile stress, axial cleavage was the main failure mode of the specimens. Furthermore, the concretes presented shear failures under medium lateral pressures. The concretes experienced a transition from brittle fracture to plastic failure under high lateral pressures. The Ottosen parameters were modified by the gradient descent method and then the failure criterion of the concretes in the principal stress space was given. The failure criterion could describe the strength characteristics of concrete materials well by being fitted with experimental data under different triaxial stress states.
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

根据混凝土的细观组成和结构特点,对传统二维建模方法加以继承与改进,提出了一种高效的分步入侵判定算法.将孔隙直观地反映在模型中,建立了不同的含孔隙混凝土细观模型.对含圆形、椭圆形、多边形骨料与圆形、椭圆形孔隙的混凝土标准试件分别进行了建模研究,结果表明本文的算法具有较强适用性.同时,通过对不同面积率与多种形状骨料/孔隙混凝土的大量建模进一步验证了该算法的效率.模拟了混凝土试件在单轴压缩下的准静态力学性能,分析了混凝土内部孔隙对其裂纹扩展的主要路径、破坏模式以及宏观力学性能的显著影响.

For effective structure and personnel protection against projectile impact, accurate prediction of the depth of penetration (DOP) of projectile into concrete is essential. Many empirical and semi-empirical formulae have been developed to yield accurate predictions as compared with testing data. In most of these formulae, the concrete target was assumed as homogeneous and the mechanical properties of concrete material were characterized by the compressive strength of concrete. The deviation of DOP predications is identified for the concrete targets mixed with coarse aggregates because of the homogeneous assumption which leads to errors in DOP prediction. In this study, the effects of mortar strength, aggregate strength, maximum size and volume fraction of coarse aggregate on penetration resistance are quantitatively studied by using 3D meso-scale modeling. The applicable condition of the homogeneous assumption and the upper bounds of aggregate size and volume fraction that affect the penetration resistance are determined with respect to the aggregate configurations. The factors dominating the penetration resistance of concrete target are investigated and it is found that the sensitivity of penetration resistance to aggregate size is lower than other mesoscopic factors, i.e., mortar strength, aggregate strength and volume fraction. In addition, a formula incorporating the effect of multi-factors is proposed to predict the DOP of rigid projectile penetration into concrete target mixed with coarse aggregates. The proposed formula, which considers the effects of the mesoscopic factors on the penetration resistance, can give better predictions of DOP into concrete targets.
© 2020 Elsevier Ltd