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在没有任何腐蚀引起的表面开裂警告之前,钢筋混凝土(RAAC)板可能会突然坍塌。

RAAC panels can suddenly collapse before any warning of corrosion-induced surface cracking.

作者信息

Korec Evžen, Grassl Peter, Jirásek Milan, Wong Hong S, Martínez-Pañeda Emilio

机构信息

Department of Civil and Environmental Engineering, Imperial College London, Exhibition Road, London, SW7 2AZ United Kingdom.

Department of Engineering Science, University of Oxford, Parks Road, Oxford, OX1 3PJ United Kingdom.

出版信息

Npj Mater Degrad. 2025;9(1):44. doi: 10.1038/s41529-025-00596-5. Epub 2025 May 7.

DOI:10.1038/s41529-025-00596-5
PMID:40352136
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12058510/
Abstract

The collapse of reinforced autoclaved aerated concrete (RAAC) panels has attracted considerable public and academic interest. As detailed experimental data are not yet available and replicating the natural corrosion process requires years or decades, computational modelling is essential to understand under which conditions corrosion remains concealed. The very high porosity of RAAC is widely suspected to be a major contributing factor. However, current corrosion-induced cracking models are known to struggle with capturing the role of concrete porosity. To remedy this critical deficiency, we propose to enrich corrosion-induced cracking modelling with the analytical solution of reactive transport equations governing the precipitation of rust and a porosity-dependent description of diffusivity. With this, the corrosion concealment in RAAC panels is studied computationally for the first time, revealing that RAAC panels can suddenly collapse before any warning of corrosion-induced surface cracking and allowing to map the conditions most likely to result in sudden collapse.

摘要

蒸压加气钢筋混凝土(RAAC)板的坍塌引起了公众和学术界的广泛关注。由于尚未获得详细的实验数据,并且复制自然腐蚀过程需要数年或数十年,因此计算建模对于了解在何种条件下腐蚀仍被隐藏至关重要。人们普遍怀疑RAAC的高孔隙率是一个主要因素。然而,目前已知腐蚀诱导开裂模型在捕捉混凝土孔隙率的作用方面存在困难。为了弥补这一关键缺陷,我们建议用控制铁锈沉淀的反应输运方程的解析解和与孔隙率相关的扩散率描述来丰富腐蚀诱导开裂模型。据此,首次对RAAC板中的腐蚀隐藏进行了计算研究,结果表明RAAC板可能在没有任何腐蚀诱导表面开裂警告的情况下突然坍塌,并能够绘制出最有可能导致突然坍塌的条件。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7236/12058510/c2b8e3644916/41529_2025_596_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7236/12058510/791b4d96598c/41529_2025_596_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7236/12058510/6a0c4b0e1e41/41529_2025_596_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7236/12058510/c2b8e3644916/41529_2025_596_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7236/12058510/791b4d96598c/41529_2025_596_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7236/12058510/6a0c4b0e1e41/41529_2025_596_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7236/12058510/c2b8e3644916/41529_2025_596_Fig3_HTML.jpg

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