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关于侵蚀性环境下SCC随机计算的敏感性分析

Sensitivity Analysis of Stochastic Calculation of SCC Regarding Aggressive Environment.

作者信息

Lehner Petr, Horňáková Marie, Hrabová Kristýna

机构信息

Department of Structural Mechanics, Faculty of Civil Engineering, VSB-Technical University of Ostrava, L. Podéště 1875, 70800 Ostrava-Poruba, Czech Republic.

Faculty of Civil Engineering, Brno University of Technology, Veveří 331/95, 60200 Brno, Czech Republic.

出版信息

Materials (Basel). 2021 Nov 12;14(22):6838. doi: 10.3390/ma14226838.

Abstract

Probabilistic procedures considering the durability with respect to corrosion of reinforcement caused by aggressive substances are widely applied; however, they are based on narrow assumptions. The aspects need to be evaluated both in terms of the search for suitable application of the various experimental results and in terms of their impact on the result of the stochastic assessment itself. In this article, sensitivity analysis was used as an ideal tool to prove how input parameters affect the results of the evaluation, with consideration of different types of concrete (ordinary or self-compacting with and without fibres). These concretes may be used in aggressive environments, as an industrial floor or as a part of the load-bearing bridge structure. An example of a reinforced concrete bridge deck was selected as the solved structure. The results show that in the case of a classic evaluation, a larger amount of fibre reports a lower resistance of concrete, which contradicts the assumptions. The sensitivity analysis then shows that self-compacting concrete is more sensitive to the values of the diffusion coefficient, and with the consideration of fibres, the effect is even greater.

摘要

考虑到侵蚀性物质对钢筋腐蚀耐久性的概率方法被广泛应用;然而,它们基于狭隘的假设。这些方面需要从寻找各种实验结果的合适应用以及它们对随机评估结果本身的影响两方面进行评估。在本文中,敏感性分析被用作一种理想工具,以证明输入参数如何影响评估结果,同时考虑了不同类型的混凝土(普通混凝土或有纤维和无纤维的自密实混凝土)。这些混凝土可用于侵蚀性环境,如工业地坪或作为承重桥梁结构的一部分。选择了一个钢筋混凝土桥面板的例子作为求解结构。结果表明,在经典评估的情况下,较多的纤维量表明混凝土的抗性较低,这与假设相矛盾。敏感性分析随后表明,自密实混凝土对扩散系数的值更敏感,并且考虑纤维时,这种影响更大。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/793c/8618124/efcd02124853/materials-14-06838-g001.jpg

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