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Corrosion cracking prediction updating of deteriorating RC structures using inspection information

机译：利用检验信息更新劣化RC结构的腐蚀开裂预测

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摘要

It is well known that the corrosion-induced cracking of reinforced concrete (RC) structures varies in time and space due to the inherent spatial variability of concrete cover, concrete strength, surface chloride concentration and other material, environmental and dimensional properties. A model for predicting the likelihood and extent of RC corrosion-induced cracking considering spatial variability is reviewed. The uncertainties of predictions can be reduced by the effective use of information obtained from visual inspections regarding structural performance, such as cracking proportion and crack width. The paper uses a spatial time-dependent reliability analysis combined with visual inspection data to predict the likelihood and extent of RC corrosion-induced cracking. In this study, RC slabs and beams are used to illustrate the influence of inspection information updating on the future likelihood and extent of corrosion-induced cracking. Concrete strength, concrete cover and the surface chloride concentrations are modelled as spatial variables. Monte-Carlo simulation is employed to calculate the updated cracking proportions. The analysis considers various inspection scenarios which include different inspection intervals, inspection times, cracking proportion and crack width. It was found that the occurrence or observance of cracking changes the future cracking prediction significantly.
机译：众所周知，钢筋混凝土（RC）结构的腐蚀诱导开裂会在时间和空间上变化，这是由于混凝土表皮的固有空间变化，混凝土强度，表面氯化物浓度以及其他材料，环境和尺寸特性所致。审查了一种模型，该模型考虑了空间变异性，预测了RC腐蚀引起的开裂的可能性和程度。通过有效使用从目视检查中获得的有关结构性能的信息（例如开裂比例和裂纹宽度），可以减少预测的不确定性。本文使用时空相关的可靠性分析与目视检查数据相结合，以预测RC腐蚀引起的开裂的可能性和程度。在这项研究中，钢筋混凝土板和梁被用来说明检验信息更新对未来腐蚀诱发裂纹的可能性和程度的影响。将混凝土强度，混凝土覆盖层和表面氯化物浓度建模为空间变量。蒙特卡洛模拟用于计算更新的开裂比例。分析考虑了各种检查方案，包括不同的检查间隔，检查时间，开裂比例和裂缝宽度。研究发现，裂纹的发生或遵守将极大地改变未来的裂纹预测。

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  • 来源
    《Reliability Engineering & System Safety》 |2009年第8期|1340-1348|共9页
  • 作者

    Qinghui Suo; Mark G. Stewart;

  • 作者单位

    Centre for Infrastructure Performance and Reliability, School of Engineering, The University of Newcastle, Callaghan, NSW, 2308, Australia;

    Centre for Infrastructure Performance and Reliability, School of Engineering, The University of Newcastle, Callaghan, NSW, 2308, Australia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    bayesian methods; cracking; RC structure; inspection; prediction;

    机译：贝叶斯方法破裂钢筋混凝土结构;检查;预测;

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