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钢筋混凝土保护层锈裂行为的细观有限元模拟

徐亦冬 郑颖颖 杜坤 胡雷

东南大学学报(自然科学版)2017,Vol.47Issue(2):356-361,6.
东南大学学报(自然科学版)2017,Vol.47Issue(2):356-361,6.DOI:10.3969/j.issn.1001-0505.2017.02.026

钢筋混凝土保护层锈裂行为的细观有限元模拟

Meso-scale finite element simulation of corrosion-induced cracking in reinforced concrete cover

徐亦冬 1郑颖颖 2杜坤 3胡雷3

作者信息

  • 1. 浙江大学宁波理工学院,宁波315100
  • 2. 杭州交通投资建设管理有限公司,杭州310015
  • 3. 重庆交通大学土木工程学院,重庆400074
  • 折叠

摘要

Abstract

To study the influence of nonuniform characteristics of concrete on the corrosion-induced concrete cover cracking,a random aggregate model was established by using the Monte Carlo method.The codes of the aggregate generation and the delivery were compiled by the Matlab software considering the influence of the interface layer.By changing the thickness of the corrosion lay er,the meso-scale finite element simulation of the corrosion-induced cracking behavior caused by corrosion of steel reinforcement was conducted.The results show that the expansion of steel reinforcement corrosion product is nonuniform.The interface layer between the mortar and the aggregate is the weakest link in the corrosion process of reinforced concrete cover.When the maximum thickness of the corrosion layer is 1.24 μm,the interface layer begins to crack and then the mortar around the steel reinforcement cracks.When the maximum thickness of the corrosion layer is 9.00 μm,the cracks appear on the surface of the concrete cover and the effective corrosion ratio of steel reinforcement is only 0.186%.When the maximum thickness of the corrosion layer reaches to 18.00 μm,the cracks between the steel reinforcement in the concrete are connected,and the crack distribution pattern is similar to that of the measured corrosion cracking,indicating that the meso-scale simulation is reliable.

关键词

钢筋锈蚀/锈胀开裂/细观模拟/随机骨料模型

Key words

steel corrosion/corrosion-induced cracking/meso-scale simulation/random aggregate model

分类

建筑与水利

引用本文复制引用

徐亦冬,郑颖颖,杜坤,胡雷..钢筋混凝土保护层锈裂行为的细观有限元模拟[J].东南大学学报(自然科学版),2017,47(2):356-361,6.

基金项目

“十二五”国家科技支撑计划资助项目(2015BAL02B03)、浙江省自然科学基金资助项目(LY15E080025). (2015BAL02B03)

东南大学学报(自然科学版)

OA北大核心CSCDCSTPCD

1001-0505

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