Development of Damage-Resislient Structures Using Smart Materials

使用智能材料开发抗损伤结构

基本信息

  • 批准号:
    RGPIN-2017-05679
  • 负责人:
  • 金额:
    $ 2.04万
  • 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:
    2017
  • 资助国家:
    加拿大
  • 起止时间:
    2017-01-01 至 2018-12-31
  • 项目状态:
    已结题

项目摘要

Force-based and performance-based seismic design approaches specify target maximum drifts as indicators of performance level and damage. Post-earthquake reconnaissance observations have further identified the additional importance of residual drift as a measure to quantify structural performance and the operational state of a structure. The residual drift, therefore, determines whether a structure can be serviceable, requires repair, or must be demolished. The overarching goal of this research is to develop resilient concrete structural systems, reinforced or retrofitted with smart materials, to control permanent damage that arises during response to seismic excitations leading to structures that are immediately serviceable. Shape Memory Alloys (SMAs) are one class of smart materials that have the ability to control permanent deformations. The material has the capacity to sustain large strains, levels that would induce significant permanent straining in steel reinforcement, but with the superior capability to return to its original shape after removal of stress (Superelastic (SE) SMA) or with the application of heat (Shape Memory Effect (SME)). This is the main behavioural feature that makes the material attractive in seismic applications. Other salient characteristics include strength and displacement capacities comparable to steel reinforcement, in addition to stable hysteretic response.
基于力和基于性能的抗震设计方法将目标最大漂移作为性能水平和损坏的指标。震后侦察观测进一步确定了剩余漂移作为量化结构性能和结构运行状态的措施的额外重要性。因此,残余的漂移决定了一个结构是否可以使用,是否需要修复,或者是否必须拆除。本研究的总体目标是开发有弹性的混凝土结构系统,用智能材料加固或改造,以控制在地震激励下产生的永久性损伤,从而使结构立即可用。形状记忆合金(sma)是一类具有控制永久变形能力的智能材料。该材料具有承受大应变的能力,在钢筋中会引起显著的永久应变,但具有在去除应力(超弹性(SE) SMA)或应用热(形状记忆效应(SME))后恢复其原始形状的优越能力。这是使该材料在地震应用中具有吸引力的主要行为特征。其他显著特征包括强度和位移能力可与钢筋相媲美,除了稳定的滞后响应。

项目成果

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Palermo, Dan其他文献

Tsunami loading of near-shoreline structures: a primer
  • DOI:
    10.1139/l09-104
  • 发表时间:
    2009-11-01
  • 期刊:
  • 影响因子:
    1.4
  • 作者:
    Palermo, Dan;Nistor, Ioan;Cornett, Andrew
  • 通讯作者:
    Cornett, Andrew
Behaviour and modelling of hybrid SMA-steel reinforced concrete slender shear wall
  • DOI:
    10.1016/j.engstruct.2017.04.058
  • 发表时间:
    2017-09-15
  • 期刊:
  • 影响因子:
    5.5
  • 作者:
    Abdulridha, Alaa;Palermo, Dan
  • 通讯作者:
    Palermo, Dan
Behavior and modeling of superelastic shape memory alloy reinforced concrete beams
  • DOI:
    10.1016/j.engstruct.2012.12.041
  • 发表时间:
    2013-04-01
  • 期刊:
  • 影响因子:
    5.5
  • 作者:
    Abdulridha, Alaa;Palermo, Dan;Vecchio, Frank J.
  • 通讯作者:
    Vecchio, Frank J.

Palermo, Dan的其他文献

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{{ truncateString('Palermo, Dan', 18)}}的其他基金

Development of Damage-Resislient Structures Using Smart Materials
使用智能材料开发抗损伤结构
  • 批准号:
    RGPIN-2017-05679
  • 财政年份:
    2022
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
Development of Damage-Resislient Structures Using Smart Materials
使用智能材料开发抗损伤结构
  • 批准号:
    RGPIN-2017-05679
  • 财政年份:
    2021
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
Development of Damage-Resislient Structures Using Smart Materials
使用智能材料开发抗损伤结构
  • 批准号:
    RGPIN-2017-05679
  • 财政年份:
    2020
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
Development of Damage-Resislient Structures Using Smart Materials
使用智能材料开发抗损伤结构
  • 批准号:
    RGPIN-2017-05679
  • 财政年份:
    2019
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
Development of Damage-Resislient Structures Using Smart Materials
使用智能材料开发抗损伤结构
  • 批准号:
    RGPIN-2017-05679
  • 财政年份:
    2018
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual

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