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May self-diffusion of ions computed from molecular dynamics explain the electrical conductivity of pore solutions in cement-based materials?

机译:可以从分子动力学计算的离子自扩散解释了在水泥基材料中孔隙溶液的电导率?

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Understanding the physical origins of the electrical response of cement-based materials is crucial to enhance the capabilities of non-destructive techniques, especially those based on resistivity or electrochemical measurements deployed in durability assessment and monitoring study of concrete structures. In this article, we show that using the information on the composition-dependent dynamics of ions obtained from molecular dynamics simulations improves the estimates of the electrical conductivity of the pore solutions. The link between ion dynamics and electrical conductivity in aqueous solutions is discussed from the fundamentals of ionic transport at the molecular scale. Also, we quantify the variability of pore solution conductivity. For validation, modeling results are extensively compared to experimental measurements on various cement systems. We show that a dilution effect explains the w/c-dependency of the electrical conductivity of the pore solutions. Also, accounting for the age-dependency of ionic diffusion in the pore solution is crucial to capture the age-dependency of the electrical conductivity of the pore solutions. These results are significant because they allow the prediction of the conductivity for various compositions of interest that may be encountered in cement systems.
机译:了解水泥基材料的电气响应的物理起源至关重要,以提高非破坏性技术的能力,尤其是基于耐久性评估和混凝土结构监测研究中部署的电阻率或电化学测量的能力。在本文中,我们表明,使用关于从分子动力学模拟获得的离子的组成依赖性动态的信息改善了孔隙溶液的电导率的估计。讨论了水溶液中离子动力学和电导率之间的联系,从分子尺度的离子输送基础讨论。此外,我们量化了孔隙溶液电导率的可变性。为了验证,与各种水泥系统上的实验测量相比,建模结果广泛。我们表明稀释效果解释了孔隙溶液的电导率的w / c依赖性。此外,对孔隙溶液中离子扩散的年龄依赖性的算法对于捕获孔溶液的电导率的年龄依赖性至关重要。这些结果是显着的,因为它们允许预测在水泥系统中可能遇到的各种感兴趣的组合物。

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