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Retrofit strategies for Existing STructures against prOgRessive collapsE (RESTORE)

Retrofit strategies for Existing STructures against prOgRessive collapsE (RESTORE)
现有结构抗连续倒塌的改造策略(恢复)
批准号:
EP/X032469/1
负责人:
Luca Possidente
金额:
$30.32万
依托单位:
依托单位国家:
英国
项目类别:
Fellowship
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --

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中文摘要
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英文摘要
Man-made extreme events (i.e., terrorist attacks, impacts, explosions, and fires) can cause local damage to structures which may spread from element to element leading to the collapse of the entire structure or a large part of it, i.e., progressive collapse. These are among the most severe events in terms of casualties, economic losses, and societal impact, as has been made evident by several cases, e.g., the progressive partial collapse of the Champlain Towers in 2021. The RESTORE project proposes an innovative framework to assess the progressive collapse risk of existing Steel and Reinforced Concrete (RC) buildings subjected to man-made hazards and design robustness- and resilience-enhancing solutions. The project investigates innovative retrofit solutions, including combinations of global and local interventions, aiming for a trade-off between benefits and drawbacks of both strategies, thus enabling effective retrofit interventions against multiple hazards. They will:- ensure structural redundancy, mitigating progressive collapse risk against multiple-hazards (robustness)- provide an alternative to the demolish-and-rebuild strategy, allowing for the re-use of existing structures and the reduction of environmental impact (sustainability and low CO2 emissions)- have low invasiveness on the ordinary functions of the building during the installation (low business interruption)- minimise the probability of collapse under extreme events (protection of human life)- experience minimal damage that can be rapidly repaired (high resilience for strategic buildings)The excellence of the research facilities and courses for young researchers of the host institution (UCL, ranked among the world's top 10 universities), the Supervisor's expertise, and the involvement in the project of academic partners and of a high-profile industrial collaborator (ARUP) guarantee a high scientific value, the completion of the project and the exploitation of the achieved results in practice.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1016/j.jobe.2023.107124
发表时间: 2023-10
期刊: Journal of Building Engineering
影响因子: 6.4
作者: [R. di Filippo;L. Possidente;N. Tondini;O. Bursi]
通讯作者: R. di Filippo;L. Possidente;N. Tondini;O. Bursi
DOI: 10.1007/s10694-022-01358-4
发表时间: 2023-01
期刊: Fire Technology
影响因子: 3.4
作者: [L. Possidente;J. Randaxhe;N. Tondini]
通讯作者: L. Possidente;J. Randaxhe;N. Tondini
DOI: 10.1002/cepa.2387
发表时间: 2023
期刊: ce/papers
影响因子: --
作者: [Possidente L]
通讯作者: Possidente L
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
5'-tRF-GlyGCC通过SRSF1调控RNA可变剪切促三阴性乳腺癌作用机制及干预策略
  • 批准号:
    82372743
  • 项目类别:
    面上项目
  • 资助金额:
    49.00万元
  • 批准年份:
    2023
  • 负责人:
    陈卓佳
  • 依托单位:
面向人工智能生成内容的风险识别与治理策略研究
  • 批准号:
    72304290
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30.00万元
  • 批准年份:
    2023
  • 负责人:
    向安玲
  • 依托单位:
放疗通过激活GSDMD诱发细胞焦亡促进肿瘤再增殖的机制研究及干预策略探讨
  • 批准号:
    82373299
  • 项目类别:
    面上项目
  • 资助金额:
    49.00万元
  • 批准年份:
    2023
  • 负责人:
    程进
  • 依托单位: