Probabilistic Model for Rebar-Concrete Bond Failure Mode Prediction Considering Corrosion
Probabilistic Model for Rebar-Concrete Bond Failure Mode Prediction Considering Corrosion
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DOI：
10.1061/9780784482247.033
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发表时间：
2019-04
期刊：
影响因子：
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通讯作者：
Ahmad Soraghi;Qindan Huang;D. Hauff
中科院分区：
文献类型：
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作者：
Ahmad Soraghi;Qindan Huang;D. Hauff
钢筋与混凝土之间充分的粘结是保证钢筋混凝土结构可靠性能的关键。经验发现，粘结性能受多种因素影响，包括混凝土覆盖层、横向配筋、钢筋几何形状、混凝土性能等。以往的研究主要集中在粘结强度的预测上，但对这些因素对粘结破坏模式的影响研究较少。本研究的目的是建立考虑腐蚀的粘结破坏模式预测模型。该模型的开发是基于44个梁端试件的粘结测试结果，这些试件具有不同的钢筋尺寸、腐蚀水平、覆盖层和箍筋约束。本研究采用logistic和lasso logistic回归，其中失效模式为分类因变量，上述影响粘结行为的因素为自变量。所建立的模型可进一步用于腐蚀钢筋混凝土结构的性能评价。
Adequate bonding between rebar and concrete is critical to ensuring the reliable performance of RC structures. It is found empirically that bond behavior is affected by many factors, including concrete cover, transverse reinforcement, rebar geometry, concrete properties, etc. While many past studies have focused on the prediction of bond strength, how those factors influence the bond failure mode is not well investigated. The goal of this research is to develop a bond failure mode prediction model considering corrosion. The model development is based on bond testing results of 44 beam-end specimens with various rebar size, corrosion levels, covers, and stirrup confinement. This study adopts logistic and lasso logistic regression, where the failure mode is the categorical dependent variable and the aforementioned factors that could influence the bond behavior are the independent variables. The developed model can be can be further used for corroded RC structure performance evaluation.