Random processes in modeling durability of building and structure

Q4 Mathematics
Boris I. Vilge
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引用次数: 0

Abstract

The problem of buildings and structures durability during their long-term operation in aggressive environments is discussed. It is closely connected with the problem of destruction of composite materials as a random process of birth, development, and death of defects at chemical corrosion. The content of the study is to analyze the influence of non-stationary chemical reactions occurring in real conditions on these processes. The analysis is carried out taking into account the incidental physical phenomena affecting corrosion, the most important of which is the diffusion of initial substances and reaction products occurring under different hydrodynamic conditions, i.e., the nature of fluid motion and its pressure which stimulates corrosion. The synthesis of three processes – chemical kinetics, diffusion, and hydrodynamics – allows us to study one of the possible scenarios of corrosion process development as a Markov process based on the statistical theory of the “weakest” link and the joint distribution of the random material and geometric parameters. Numerical analysis of changes in elastic and electrical properties of composite materials under these conditions allows us to substantiate the technology of non-destructive control of changes in the state of the structure. The research results are based on mathematical and statistical modeling.
建筑物和结构耐久性建模中的随机过程
本文讨论了建筑物和结构在侵蚀性环境中长期运行的耐久性问题。该问题与复合材料的破坏问题密切相关,即在化学腐蚀过程中缺陷的产生、发展和死亡的随机过程。研究的内容是分析在实际条件下发生的非稳态化学反应对这些过程的影响。分析时考虑了影响腐蚀的附带物理现象,其中最重要的是在不同流体力学条件下发生的初始物质和反应产物的扩散,即流体运动的性质及其刺激腐蚀的压力。将化学动力学、扩散和流体力学这三个过程综合起来,我们就可以根据 "最薄弱 "环节的统计理论以及随机材料和几何参数的联合分布,将腐蚀过程发展的一种可能情况作为马尔可夫过程进行研究。通过对这些条件下复合材料的弹性和电特性变化进行数值分析,我们可以证实对结构状态变化进行无损控制的技术。研究成果以数学和统计建模为基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Model Assisted Statistics and Applications
Model Assisted Statistics and Applications Mathematics-Applied Mathematics
CiteScore
1.00
自引率
0.00%
发文量
26
期刊介绍: Model Assisted Statistics and Applications is a peer reviewed international journal. Model Assisted Statistics means an improvement of inference and analysis by use of correlated information, or an underlying theoretical or design model. This might be the design, adjustment, estimation, or analytical phase of statistical project. This information may be survey generated or coming from an independent source. Original papers in the field of sampling theory, econometrics, time-series, design of experiments, and multivariate analysis will be preferred. Papers of both applied and theoretical topics are acceptable.
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