多场耦合下分形多孔介质中氯离子输运与侵蚀的模拟

IF 3.3 3区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Ji Ming, Liu Guannan, Yu Boming, Liu Hu, Cheng Gaojie
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引用次数: 0

摘要

混凝土是海底建筑结构的重要组成部分,受到静水压力和氯离子的侵蚀。在本研究中,混凝土被认为是由孔隙和裂缝组成的双孔结构。考虑静水压力和混凝土结构的分形特性,建立了浓度和压力双重驱动下氯离子扩散的分形模型。考虑混凝土孔隙中水压引起的有效应力,提出了氯离子迁移的流固耦合模型。通过与实验数据的对比,验证了氯离子迁移的流固耦合分形模型。数值模拟结果表明:(1)分形维数对氯离子扩散系数和氯离子浓度的影响是非线性的;(2)与低静水压力相比,高静水压力对氯离子浓度和扩散系数的影响更为显著;(3)当不考虑孔隙中有效应力和水压时,氯离子的扩散系数始终为常数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation of chloride ion transport and erosion in fractal porous media under multi field coupling
Concrete is an important part of submarine building structure, which is eroded by hydrostatic pressure and chloride ion. In this study, concrete is regarded as a dually-porous structure composed of pores and fractures. Considering hydrostatic pressure and fractal characteristics of concrete structure, a fractal model is established for chloride ion diffusion under the dual drive of concentration and pressure. Considering the effective stress caused by water pressure in pores of concrete, a fluid–solid model for chloride ion migration is proposed. The fluid–solid coupling fractal model for chloride ion migration was verified by comparing with the experimental data. The numerical simulation results show that: (1) the influence of fractal dimension on the chloride ion diffusion coefficient and chloride ion concentration is nonlinear; (2) compared with low hydrostatic pressure, high hydrostatic pressure has more significant effects on chloride ion concentration and diffusion coefficient; (3) when the effective stress and water pressure in pores are not considered, the diffusion coefficient of chloride ion is always a constant.
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来源期刊
CiteScore
7.40
自引率
23.40%
发文量
319
审稿时长
>12 weeks
期刊介绍: The investigation of phenomena involving complex geometry, patterns and scaling has gone through a spectacular development and applications in the past decades. For this relatively short time, geometrical and/or temporal scaling have been shown to represent the common aspects of many processes occurring in an unusually diverse range of fields including physics, mathematics, biology, chemistry, economics, engineering and technology, and human behavior. As a rule, the complex nature of a phenomenon is manifested in the underlying intricate geometry which in most of the cases can be described in terms of objects with non-integer (fractal) dimension. In other cases, the distribution of events in time or various other quantities show specific scaling behavior, thus providing a better understanding of the relevant factors determining the given processes. Using fractal geometry and scaling as a language in the related theoretical, numerical and experimental investigations, it has been possible to get a deeper insight into previously intractable problems. Among many others, a better understanding of growth phenomena, turbulence, iterative functions, colloidal aggregation, biological pattern formation, stock markets and inhomogeneous materials has emerged through the application of such concepts as scale invariance, self-affinity and multifractality. The main challenge of the journal devoted exclusively to the above kinds of phenomena lies in its interdisciplinary nature; it is our commitment to bring together the most recent developments in these fields so that a fruitful interaction of various approaches and scientific views on complex spatial and temporal behaviors in both nature and society could take place.
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