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考虑既有裂缝的工程碳化模型扩展的对比分析

Comparative Analysis of Engineering Carbonation Model Extensions to Account for Pre-Existing Cracks.

作者信息

Schultheiß Annika Lidwina, Patel Ravi Ajitbhai, Vogel Michael, Dehn Frank

机构信息

Institute of Concrete Structures and Building Materials (IMB), Karlsruhe Institute of Technology (KIT), DE-76131 Karlsruhe, Germany.

出版信息

Materials (Basel). 2023 Sep 12;16(18):6177. doi: 10.3390/ma16186177.

Abstract

Cracks in reinforced concrete structures can accelerate the local depassivation of reinforcement due to carbonation. Different approaches have been proposed to account for pre-existing cracks within engineering models to predict the carbonation depth. In this study, we provide a detailed comparative analysis of different extensions available for the carbonation model to account for cracks, viz., crack influence factor (CIF) approaches, a diffusion-based model and the crack depth adaption. The model extensions are first validated against a dataset of lab data collected from the literature and additional experiments performed as the part of this study. The CIF approaches achieved the highest accuracy for the carbonation depth prediction when compared against lab data. The diffusion-based model was inaccurate for low CO2 concentrations. The crack depth adaption provides overly conservative results. No model was found to be best performing, and large scatter was observed between predicted and experimental values. This emphasizes the need for more detailed multi-physics-based models to achieve accurate predictions. For further comparison, service life predictions were conducted for two structural scales, viz., the whole structure and the cracked area. It is concluded that the choice of model extension and the structural scale of analysis have a large influence on predicted probability of failure.

摘要

钢筋混凝土结构中的裂缝会加速由于碳化导致的钢筋局部去钝化。为了在工程模型中考虑既有裂缝以预测碳化深度,人们提出了不同的方法。在本研究中,我们对碳化模型中用于考虑裂缝的不同扩展方法进行了详细的对比分析,即裂缝影响因子(CIF)方法、基于扩散的模型和裂缝深度修正。首先,针对从文献中收集的实验室数据以及作为本研究一部分所进行的额外实验数据集,对模型扩展进行了验证。与实验室数据相比,CIF方法在碳化深度预测方面准确率最高。基于扩散的模型在低二氧化碳浓度下不准确。裂缝深度修正给出的结果过于保守。没有发现哪个模型表现最佳,并且预测值与实验值之间存在较大离散度。这强调了需要更详细的基于多物理场的模型来实现准确预测。为了进一步比较,对两个结构尺度,即整个结构和裂缝区域,进行了使用寿命预测。得出的结论是,模型扩展的选择和分析的结构尺度对预测的失效概率有很大影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9bf/10532492/331d5e6e7fff/materials-16-06177-g001.jpg

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