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Probabilistic and predictive performance-based approach for assessing reinforced concrete structures lifetime: The applet project

机译:基于概率和预测性能的评估钢筋混凝土结构寿命的方法:applet项目

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Concrete deterioration results in different damage extents, from cracking to concrete spalling, from losses of reinforcement cross-sections to bond losses. A relevant prediction of this performance is the basis for a successful management of the concrete structures. Conversely, the large amount of uncertainties related to parameters and models require a specific analysis in order to provide relevant results. The APPLET project intends to develop a probabilistic and predictive performance-based approach by quantifying the various sources of variability (material and structure), studying the interaction between environmental aggressive agents and the concrete material, ensuring a transfer of the physical-chemical models at the material scale towards models at the structure level, including and understanding in a better manner the corrosion process, integrating interface models between reinforcement and concrete, proposing relevant numerical models, integrating know-how from monitoring or inspection. To provide answers, a consortium of 19 partners has been established and has promoted a research project funded by the French Research Science Agency (ANR). Started in May 2007, the project has ended in November 2010. This paper will resume the most significant advances targeted by this research project.
机译:从开裂到混凝土剥落,从钢筋横截面的损失到粘结的损失,混凝土的劣化导致不同程度的破坏。有关此性能的相关预测是成功管理混凝土结构的基础。相反,与参数和模型有关的大量不确定性需要进行特定分析才能提供相关结果。 APPLET项目旨在通过量化各种变化源(材料和结构),研究环境侵蚀剂与混凝土材料之间的相互作用,确保物理化学模型在现场的转移,从而开发一种基于概率和预测性能的方法。材料向结构级别的模型扩展,包括并更好地理解腐蚀过程,整合钢筋和混凝土之间的界面模型,提出相关的数值模型,整合来自监视或检查的专业知识。为了提供答案,已经建立了由19个合作伙伴组成的联盟,并促进了由法国研究科学局(ANR)资助的研究项目。该项目于2007年5月开始,到2010年11月结束。本文将恢复该研究项目针对的最重要进展。

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