Multi-scale and multi-physics deterioration modelling for design and assessment of reinforced concrete structures
Multi-scale and multi-physics deterioration modelling for design and assessment of reinforced concrete structures
复制标题
用于钢筋混凝土结构设计和评估的多尺度和多物理劣化建模
DOI：
10.21809/rilemtechlett.2017.49
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
H. Stang
中科院分区：
文献类型：
--
作者：
M. Geiker;A. Michel;M. Lepech;Jie Wu;H. Stang
本文讨论了对可靠有效的多尺度和多物理预测模型的需求，以支持新的钢筋混凝土结构的设计以及现有钢筋混凝土结构的评估、维护和修复。
建立了钢筋混凝土氯化物腐蚀的多物理、多尺度劣化模型。正在进行的工作包括将模型扩展到 3D，以及对钢-混凝土界面特性和电化学电势对氯化物阈值的影响进行建模。
已确定的挑战包括提高对单一和多重恶化机制、环境暴露和验证数据的理解和建模。
我们设想，下一代钢筋混凝土基础设施的维护和管理将结合基于多尺度和多物理原理的数值模拟以及广泛的现场监测，从而能够对功能性能的 4D 模拟进行持续的贝叶斯更新。
This paper discusses the need for reliable and valid multi-scale and multi-physics prediction models to support the design of new as well as the assessment, maintenance, and repair of existing reinforced concrete structures.
A multi-physics and multi-scale deterioration model for chloride-induced corrosion of reinforced concrete has been established. Ongoing work includes extension of the model to 3D as well as modelling of the impact of the steel-concrete interface characteristics and electrochemical potential on chloride thresholds.
Identified challenges include, among others, the improved understanding and modelling of single- and multi-deterioration mechanisms, environmental exposure, and data for validation.
We envision that next generation maintenance and management of reinforced concrete infrastructure will combine numerical simulations based on multi-scale and multi-physics principles and extensive in-situ monitoring, allowing continuous Bayesian updating of 4D simulations of functional performance.