Reducing seismic residual deformations of existing reinforced concrete frames using shape memory alloys

使用形状记忆合金减少现有钢筋混凝土框架的地震残余变形

• 批准号: 261843-2010
• 负责人: Youssef, Maged
• 金额: $ 1.6万
• 依托单位: University of Western Ontario
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=547903
• 关键词: Reducing; seismic; residual; deformations; existing

Previous earthquakes have shown that seismic damage to Reinforced Concrete (RC) frames mainly concentrates in the vicinity of the beam-column joint area. It occurs in different forms including: joint shear failure, flexural failure of beams and/or columns, shear failure of beams and/or columns, and bond slip failure. While frames designed based on older code provisions are susceptible to all mentioned forms of damage, frames designed to current standards are expected to collapse due to flexural failure of their beams. Other forms of damage can co-exist in newly designed frames due to faults in the design and/or construction processes or misuse by occupants (changing the intended use and consequently the applied loads, applying temporary heavy loads, etc.). Retrofitting of existing RC frames has received significant attention from the research community during the past decades. Several retrofitting methods have been proposed. While these methods provide a solution to the flexural and shear deficiencies, they maintain a major deficiency: seismic residual deformations. These deformations result from yielding of the reinforcing bars that is necessary to dissipate the seismic energy. However they complicate post-earthquake retrofitting efforts. The uniqueness of Shape Memory Alloys (SMAs) lies in their ability to undergo large deformations and return to their undeformed shape. The proposed research provides a comprehensive experimental and analytical study that will not only provide solutions to possible deficiencies in existing RC frames, but will also significantly reduce their expected seismic residual deformations. Novel retrofitting techniques that utilize SMAs will be developed. Analytical models capable of predicting the behaviour of the retrofitted structural elements will be developed and validated using experimental tests. These models will be used to analyze full-scale frames to define optimal retrofitting strategies. The proposed research will involve the training of one PhD and three MESc candidates on state-of-the-art experimental and analytical studies. These HQP will be key personnel in shaping the future of smart structures and enhancing the competitiveness of the Canadian construction industry.

以往的地震资料表明，钢筋混凝土框架的震害主要集中在梁柱节点附近。其破坏形式有：节点剪切破坏、梁柱弯曲破坏、梁柱剪切破坏和粘结滑移破坏。虽然根据旧规范设计的框架容易受到上述所有形式的损坏，但按照当前标准设计的框架预计会因梁的弯曲故障而倒塌。在新设计的框架中，由于设计和/或施工过程中的错误或居住者的误用(改变预期用途，从而改变施加的荷载，施加临时的重载等)，其他形式的损坏可能会共存。在过去的几十年里，对现有钢筋混凝土框架的改造受到了研究界的极大关注。现已提出了几种改造方法。虽然这些方法提供了弯曲和剪切缺陷的解决方案，但它们保留了一个主要缺陷：地震残余变形。这些变形是由于耗散地震能量所必需的钢筋的屈服造成的。然而，它们使地震后的翻新工作复杂化。形状记忆合金(SMA)的独特之处在于其能够承受大变形并恢复到其未变形的形状。拟议的研究提供了一项全面的试验和分析研究，不仅将为现有RC框架可能存在的缺陷提供解决方案，还将显著降低其预期的地震残余变形。将开发利用SMA的新的翻新技术。将开发能够预测改装结构构件行为的分析模型，并通过实验测试进行验证。这些模型将被用来分析全尺寸框架，以确定最佳的改装策略。拟议的研究将涉及对一名博士和三名MESC候选人进行最先进的实验和分析研究方面的培训。这些HQP将是塑造智能结构未来和提高加拿大建筑业竞争力的关键人员。