Updating of the corrosion degree based on visual data combined with strain or modal data

Eline Vereecken, W. Botte, R. Caspeele, G. Lombaert
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引用次数: 0

Abstract

Many existing bridges are reaching the end of their technical service life. To estimate the remaining lifetime of reinforced concrete structures, it is important to assess the parameters of the corrosion process (i.e. parameters governing the corrosion propagation, but also parameters of the chloride or carbonation ingress). The level of corrosion and its spatial distribution can be inferred from strain data under static loading or modal data. In addition, information from visual inspections is often available as well, although not often used to quantify the level of corrosion. In this work, it is investigated how visual inspections can supplement the strain and/or modal data and provide information on corrosion parameters. The developed framework is applied to a simply supported beam subjected to corrosion.
基于视觉数据与应变或模态数据相结合的腐蚀程度更新
许多现有的桥梁正在达到其技术使用寿命的终点。为了估计钢筋混凝土结构的剩余寿命,评估腐蚀过程的参数(即控制腐蚀扩展的参数,以及氯化物或碳化的参数)是很重要的。腐蚀程度及其空间分布可以从静态载荷或模态数据下的应变数据推断出来。此外,目视检查的信息也经常可用,尽管不经常用于量化腐蚀程度。在这项工作中,研究了视觉检测如何补充应变和/或模态数据,并提供腐蚀参数的信息。所开发的框架应用于受腐蚀的简支梁。
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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