Innovative Hybrid Bracing Systems for Enhancing Infrastructure Resilience

用于增强基础设施弹性的创新混合支撑系统

基本信息

  • 批准号:
    RGPIN-2022-04084
  • 负责人:
  • 金额:
    $ 1.75万
  • 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

A concerning volume of municipal infrastructure is in deplorable condition. Thus, infrastructure requires immediate and necessary action, as the rehabilitation or replacement of these assets is essential in the following 5-10 years to ensure that the services it provides continue to meet the community's expectations. An even larger proportion of municipal infrastructure is considered in fair condition, requiring attention and procedures to be implemented in the medium and long term. Infrastructure reports published in Canada and the US reflects the vulnerability of our existing infrastructure. Hence, it is imperative to take immediate measures to develop innovative, low-cost, and reliable construction and retrofitting solutions for addressing the current situation. Apart from the risks inherent to building design, use, age and construction material, there are many instances where hazards other than earthquakes may put buildings at risk, ranging from technical failures to severe weather. High winds, freezing rain and heavy snow loads, and other environmental conditions may impose stresses on existing structures. Although most of these events may not result in a collapse, these extreme events could exceed the threshold defined in the Building Code in terms of serviceability. They may result in the loss of functionality as well as non-structural damages. The proposed research program aims to reduce overall vulnerability through innovations in structural systems and the transfer of knowledge to practice. The proposed research will develop innovative hybrid lateral force resisting systems. Super-elastic Shape Memory Alloy (SMA) will be utilized along with regular reinforcement materials for developing self-centring bracing devices that can help structure bring back to its upright position after lateral loads. In addition, other smart materials will be utilized, such as Friction Springs (FS) and Polyurethane. Different combinations will be developed by employing two or more materials in these hybrid devices to achieve better performance. Component testing will be carried out under different loading conditions. Based on the experimental testing and results, the numerical models will be further refined, and extensive dynamic simulations will be conducted. Response modification factors will be investigated, and vulnerability assessment will be conducted. This research will help Canada to meet the need for smart structures and train high quality personnel on the development of such structures and their components. This will provide the infrastructure industry with inherent sustainability and ability to absorb the consequences of extreme load events. The significance of this research is paramount as it ensures improved safety and security against a variety of hazards of different magnitudes and will lead Canada to a sustainable solution for infrastructure and its management.
关于市政基础设施的数量是可悲的。因此,基础设施需要立即和必要的行动,因为在接下来的5 - 10年中,必须进行康复或替代这些资产,以确保其提供的服务继续满足社区的期望。在公平状态下,考虑到更大比例的市政基础设施,需要在中期和长期内实施注意力和程序。在加拿大和美国发表的基础设施报告反映了我们现有基础设施的脆弱性。因此,必须立即采取措施开发创新,低成本和可靠的建筑和改造解决方案来解决当前情况。除了建筑设计,使用,年龄和建筑材料固有的风险外,在许多情况下,除地震以外的危险可能会使建筑物处于危险之中,从技术失败到恶劣天气。大风,寒冷的雨水和大雪负荷以及其他环境条件可能会对现有结构施加压力。尽管这些事件中的大多数可能不会导致崩溃,但这些极端事件可能会超过建筑物代码中的阈值。它们可能导致功能丧失以及非结构性损害。拟议的研究计划旨在通过结构系统的创新以及知识转移到实践来减少整体脆弱性。拟议的研究将开发创新的杂交横向抵抗系统。将使用超弹性形状的内存合金(SMA)以及常规的加固材料,用于开发自动式支撑设备,可以帮助结构后将其恢复到侧向载荷后的直立位置。此外,还将利用其他智能材料,例如摩擦弹簧(FS)和聚氨酯。通过在这些混合设备中采用两种或多种材料来实现更好的性能,将开发不同的组合。组件测试将在不同的加载条件下进行。根据实验测试和结果,将进一步完善数值模型,并将进行广泛的动态模拟。将研究响应修改因素,并将进行脆弱性评估。这项研究将帮助加拿大满足智能结构的需求,并培训高质量的人员,以开发此类结构及其组成部分。这将为基础设施行业具有固有的可持续性和吸收极端负荷事件后果的能力。这项研究的重要性至关重要,因为它可以确保对各种不同幅度的各种危害的安全性和安全性提高,并将导致加拿大为基础设施及其管理提供可持续的解决方案。

项目成果

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Issa, Anas其他文献

Deep learning-based concrete defects classification and detection using semantic segmentation.
Seismic collapse safety and response modification factor of concrete frame buildings reinforced with superelastic shape memory alloy (SMA) rebar
  • DOI:
    10.1016/j.jobe.2021.102468
  • 发表时间:
    2021-04-09
  • 期刊:
  • 影响因子:
    6.4
  • 作者:
    Newaj Siddiquee, Kader;Muntasir Billah, A. H. M.;Issa, Anas
  • 通讯作者:
    Issa, Anas

Issa, Anas的其他文献

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{{ truncateString('Issa, Anas', 18)}}的其他基金

Innovative Hybrid Bracing Systems for Enhancing Infrastructure Resilience
用于增强基础设施弹性的创新混合支撑系统
  • 批准号:
    DGECR-2022-00494
  • 财政年份:
    2022
  • 资助金额:
    $ 1.75万
  • 项目类别:
    Discovery Launch Supplement

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