混凝土扩散系数的多尺度解析/数值理论

Edward J. Garboczi , Dale P. Bentz
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引用次数: 195

摘要

混凝土的离子扩散率是其微观结构在许多长度尺度上的函数,范围从纳米到毫米。微观结构主要受混凝土初始配合比和最终养护条件的控制。然后,将离子扩散率等特性与微观结构联系起来需要多尺度方法。离子扩散率的多尺度微结构计算机模型已经开发出来。该模型专门用于计算不同混合比例和水化程度的混凝土的氯离子扩散系数。该模型的三个关键部分依赖于大规模超级计算机量级的模拟:(1)确定给定聚集分布的界面区域的总体积;(2)模拟典型骨料周围水化水泥浆体微观结构;(3)计算集料和界面区对混凝土整体扩散系数的影响。该模型的关键特征是可以近似地考虑到界面过渡区和体浆区之间水泥浆体的再分布及其对混凝土整体扩散系数的重要影响。在本文中,我们回顾了先前开发的模型,并展示了解析方程如何准确地取代部件(1)和(3)的大规模计算机模拟。这一成就将使模型对那些没有超级计算机计算能力的人更有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiscale Analytical/Numerical Theory of the Diffusivity of Concrete

The ionic diffusivity of a concrete is a function of its microstructure at many length scales, ranging from nanometers to millimeters. The microstructure is largely controlled by the initial concrete mixture proportions and the ultimate curing conditions. Linking a property like ionic diffusivity to the microstructure then requires a multiscale approach. A multiscale microstructural computer model for ionic diffusivity has been previously developed. This model has been developed specifically to compute the chloride diffusivity of concretes with various mixture proportions and projected degrees of hydration. The three key parts of this model were dependent on large-scale supercomputer-magnitude simulations to: (1) determine the total volume of interfacial zones for a given aggregate distribution; (2) simulate the hydrated cement paste microstructure around a typical aggregate; and (3) compute the effect of the aggregates and interfacial zones on the overall diffusivity of the concrete. The key feature of this model is that one can approximately take into account the redistribution of cement paste between interfacial transition zone regions and bulk paste regions, and its important effect on overall concrete diffusivity. In the present article, we review the previously developed model and show how analytical equations can accurately replace the large scale computer simulations of parts (1) and (3). This accomplishment will make the model more usable by those who do not have access to supercomputer computing power.

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