Innovative Analytical and Experimental Techniques for Performance Assessment of Deteriorated and Repaired Reinforced Concrete Structures

劣化和修复钢筋混凝土结构性能评估的创新分析和实验技术

基本信息

  • 批准号:
    RGPIN-2020-06476
  • 负责人:
  • 金额:
    $ 1.68万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2022
  • 资助国家:
    加拿大
  • 起止时间:
    2022-01-01 至 2023-12-31
  • 项目状态:
    已结题

项目摘要

In Canada, about one-third of municipal infrastructure with an estimated worth of $388 billion are either in a fair, poor, or very poor condition and require rehabilitation. The infrastructure of most other countries is experiencing the same problem requiring hundreds of billions of dollars for repair. With governments currently facing severe economic constraints, there is a great need for accurate performance assessment tools and effective repair strategies to ensure the safety of existing aging and deteriorated infrastructure. The aim of this research program is to develop and employ innovative analytical and experimental techniques to help engineers gain a better insight into the performance and safety of deteriorated and repaired reinforced concrete (RC) structures. The research program is comprised of two main phases. In the first phase, a novel multi-platform stochastic analysis technique will be developed which is capable of accurately assessing both the local and global performance of large complex deteriorated RC structures, while considering the uncertainty effects due to corrosion. The newly developed method will be employed to assess the performance of both modern and old RC bridge structures. Furthermore, a state-of-the-art laboratory testing method called hybrid simulation will be used to further investigate the system-level behaviour of deteriorated RC bridge structures. By combining the efficiency of computer modelling with the accuracy of laboratory testing, hybrid simulation can effectively capture the system-level performance of structures. The influence of different levels of deterioration and reinforcement ratios in bridge piers will be investigated. The second phase of the research program will focus on the development and evaluation of a new repair strategy for deteriorated structures using textile reinforced concrete (TRC). Building upon the work carried out in phase 1, a series of component-level and system-level (hybrid simulation) tests will be conducted on an RC bridge structure strengthened with TRC. The effectiveness of various TRC strengthening schemes will be evaluated. Lastly, based on the results obtained from the experimental tests, a 3D finite element modelling method will be developed and validated for the analysis of TRC-repaired RC columns under seismic loads. Through this research program, novel performance assessment tools and effective repair strategies will be developed which enable engineers and decision makers to accurately decide which structures require rehabilitation and what would be the most economical and effective repair strategy for them. The findings will benefit Canada in many significant ways such as reducing human and economic loss following extreme events and contributing to sustainable infrastructure development and long-term economic growth by extending the service life of existing aging structures and reducing the generation of greenhouse gases from cement production.
在加拿大,约有三分之一的市政基础设施估计价值3880亿加元,处于公平,差或非常差的状态,需要康复。大多数其他国家的基础设施是遇到相同的问题,需要数亿美元的维修。由于政府目前面临严重的经济限制,因此非常需要准确的绩效评估工具和有效的维修策略,以确保现有的老化和基础设施恶化的安全。该研究计划的目的是开发和采用创新的分析和实验技术,以帮助工程师更好地了解不断恶化和修复的钢筋混凝土(RC)结构的性能和安全性。该研究计划由两个主要阶段组成。在第一阶段,将开发一种新型的多平台随机分析技术,该技术能够准确地评估大型复合物的局部和全球性能恶化的RC结构,同时考虑腐蚀引起的不确定性效应。新开发的方法将用于评估现代和旧RC桥结构的性能。此外,一种称为混合模拟的最先进的实验室测试方法将用于进一步研究不断变化的RC桥结构的系统级行为。通过将计算机建模的效率与实验室测试的准确性相结合,混合模拟可以有效地捕获结构的系统级性能。将研究桥墩中不同水平的恶化和加固比的影响。研究计划的第二阶段将重点介绍使用纺织钢筋混凝土(TRC)的新修复策略的开发和评估。在第1阶段进行的工作的基础上,将在用TRC加强的RC桥结构上进行一系列组件级和系统级(混合模拟)测试。将评估各种TRC加强方案的有效性。最后,根据从实验测试获得的结果,将开发并验证3D有限元建模方法,以分析地震载荷下的TRC修复的RC列。 通过该研究计划,将制定新的绩效评估工具和有效的维修策略,使工程师和决策者能够准确地确定哪些结构需要康复以及最经济和有效的维修策略。这些发现将以许多重要的方式使加拿大受益,例如在极端事件之后减少人类和经济损失,并通过延长现有老化结构的使用寿命并减少水泥产量中的温室气体的产生,从而为可持续的基础设施发展和长期经济增长做出贡献。

项目成果

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sadeghian, vahid其他文献

sadeghian, vahid的其他文献

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{{ truncateString('sadeghian, vahid', 18)}}的其他基金

A DIGITAL IMAGE CORRELATION SYSTEM FOR ADVANCED PERFORMANCE ASSESSMENT OF STRUCTURES
用于高级结构性能评估的数字图像相关系统
  • 批准号:
    RTI-2022-00588
  • 财政年份:
    2021
  • 资助金额:
    $ 1.68万
  • 项目类别:
    Research Tools and Instruments
Innovative Analytical and Experimental Techniques for Performance Assessment of Deteriorated and Repaired Reinforced Concrete Structures
劣化和修复钢筋混凝土结构性能评估的创新分析和实验技术
  • 批准号:
    RGPIN-2020-06476
  • 财政年份:
    2021
  • 资助金额:
    $ 1.68万
  • 项目类别:
    Discovery Grants Program - Individual
Innovative Analytical and Experimental Techniques for Performance Assessment of Deteriorated and Repaired Reinforced Concrete Structures
劣化和修复钢筋混凝土结构性能评估的创新分析和实验技术
  • 批准号:
    RGPIN-2020-06476
  • 财政年份:
    2020
  • 资助金额:
    $ 1.68万
  • 项目类别:
    Discovery Grants Program - Individual
Innovative Analytical and Experimental Techniques for Performance Assessment of Deteriorated and Repaired Reinforced Concrete Structures
劣化和修复钢筋混凝土结构性能评估的创新分析和实验技术
  • 批准号:
    DGECR-2020-00417
  • 财政年份:
    2020
  • 资助金额:
    $ 1.68万
  • 项目类别:
    Discovery Launch Supplement

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Innovative Analytical and Experimental Techniques for Performance Assessment of Deteriorated and Repaired Reinforced Concrete Structures
劣化和修复钢筋混凝土结构性能评估的创新分析和实验技术
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  • 项目类别:
    Discovery Grants Program - Individual
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Impact of Maternal Antibiotics on the Breastfeeding Infant Microbiome and Metabolome
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