课题基金 / 基金详情

Experimentally Validated Stochastic Numerical Framework to Generate Multi-Dimensional Fragilities for Hurricane Resilience Enhancement of Transmission Systems

Experimentally Validated Stochastic Numerical Framework to Generate Multi-Dimensional Fragilities for Hurricane Resilience Enhancement of Transmission Systems
经过实验验证的随机数值框架可生成多维脆弱性以增强传输系统的飓风弹性
批准号:
1635569
负责人:
Abdollah Shafieezadeh
金额:
$52.98万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-08-01 至 2021-07-31

项目摘要

项目成果

Abdollah Shafieezadeh的其他基金

相似基金

相关文献

中文摘要
翻译
美国的输电基础设施,特别是沿海地区的输电基础设施,面临着飓风的巨大风险。考虑到输电网的巨大规模,升级整个基础设施以达到可接受的飓风性能水平的成本将非常高。本研究的目的是调查一个框架,以可靠地识别脆弱的输电线路系统,并提供具有成本效益的改造解决方案,以减少其损坏和功能损失的可能性在飓风和事件发生后的恢复时间。为此,本项目将使用实验验证的数值模型开发输电塔线系统的多维脆弱性模型。 这将能够表征各种重要因素对这些系统的风力性能的影响。这项研究的结果将有助于最大限度地减少因停电造成的关键基础设施和设施功能丧失而造成的社会混乱。该项目将积极吸引利益相关者参与,以促进技术转让和实施输电系统的新设计和改造解决方案。 研究结果将被纳入俄亥俄州州立大学和佛罗里达国际大学(FIU)的课程。此外,代表性不足的本科生和K-8学生将接受基础设施系统研究方面的培训,为下一代工程师做好准备,以提高社区的飓风抵御能力。该研究将产生一个最先进的实验验证的随机数值框架,以生成用于传输系统飓风抵御能力增强的多维脆弱性模型。该研究将涉及一系列气动弹性风洞研究的多跨传输系统的风响应在国家科学基金会支持的自然灾害工程研究基础设施风墙(WOW)实验设施在佛罗里达大学。这些新的实验数据集,连同高保真的三维非线性有限元模型的塔导体绝缘子基础系统,将提供新的和关键的见解,这些系统的各种复杂的风致行为。WOW测试还将能够表征相邻跨段的动态边界效应。多维脆弱性表面,验证的数值模型的基础上,将提供组件和系统级的结构和功能故障概率的传输塔线单元。生成的可靠性模型与恢复模型相结合,将被纳入优化框架,以提供基于灾害和环境因素的最佳设计和改造解决方案,这将有助于对飓风灾害进行最佳管理,以提高其应对极端事件的能力。
英文摘要
The electric power transmission infrastructure in the United States, especially in coastal areas, faces substantial risk from hurricanes. Considering the significant size of the transmission grid, the cost of upgrading the entire infrastructure to achieve acceptable performance levels against hurricanes would be extremely high. The objective of this research is to investigate a framework to reliably identify vulnerable transmission line systems and provide cost-effective retrofit solutions to reduce their likelihood of damage and loss of functionality during hurricanes and their recovery time following the event. For this purpose, this project will develop multi-dimensional fragility models for transmission tower-line systems using experimentally validated numerical models. This will enable characterization of the effects of various significant factors on the wind performance of these systems. Outcomes of this research will aid in minimizing societal disruptions due to loss of functioning of critical infrastructure and facilities caused by power outages. The project will actively engage stakeholders to facilitate technology transfer and implementation of novel design and retrofit solutions for transmission systems. The research findings will be integrated into courses at Ohio State University and Florida International University (FIU). In addition, underrepresented undergraduate and K-8 students will be trained in research on infrastructure systems to prepare the next generation of engineers to enhance the hurricane resilience of communities.The research will produce a state-of-the-art experimentally validated stochastic numerical framework to generate multi-dimensional fragility models for hurricane resilience enhancement of transmission systems. The research will involve a series of aeroelastic wind tunnel studies on the wind response of multi-span transmission systems at the National Science Foundation-supported Natural Hazards Engineering Research Infrastructure Wall of Wind (WOW) Experimental Facility at FIU. These novel sets of experimental data, together with high-fidelity three-dimensional nonlinear finite element models of tower-conductor-insulator-foundation systems, will provide new and critical insights into various complex wind-induced behaviors of these systems. The WOW tests will also enable characterization of dynamic boundary effects from neighboring spans. The multi-dimensional fragility surfaces, based on validated numerical models, will provide component- and system-level structural and functional failure probabilities for units of transmission tower-lines. The generated reliability models, combined with recovery models, will be integrated into optimization frameworks to provide optimal design and retrofit solutions based on hazard and environmental factors, which will facilitate optimal management of transmission systems against hurricane hazards to enhance their resilience in response to extreme events.
期刊论文(13)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1109/access.2020.2980228
发表时间: 2020-02
期刊: IEEE Access
影响因子: 3.9
作者: [Chi Zhang;Zeyu Wang;A. Shafieezadeh]
通讯作者: Chi Zhang;Zeyu Wang;A. Shafieezadeh
DOI: 10.22725/icasp13.211
发表时间: 2019-05
期刊:
影响因子: --
作者: [Y. Darestani;Zeyu Wang;A. Shafieezadeh]
通讯作者: Y. Darestani;Zeyu Wang;A. Shafieezadeh
DOI: 10.1016/j.apenergy.2020.116355
发表时间: 2021-03
期刊: Applied Energy
影响因子: 11.2
作者: [Nariman L. Dehghani;Ashkan B. Jeddi;A. Shafieezadeh]
通讯作者: Nariman L. Dehghani;Ashkan B. Jeddi;A. Shafieezadeh
DOI: 10.1016/j.ress.2020.107323
发表时间: 2021-03
期刊: Reliab. Eng. Syst. Saf.
影响因子: --
作者: [Chi Zhang-;Zeyu Wang;A. Shafieezadeh]
通讯作者: Chi Zhang-;Zeyu Wang;A. Shafieezadeh
共 13 条
    Collaborative Research: A Deeply Integrated Physics-Based and Data-Driven Approach for Effective Resilience Management of the Power Grid
    • 批准号:
      2000156
    • 项目类别:
      Standard Grant
    • 资助金额:
      $24.96万
    • 财政年份:
      2020
    • 负责人:
      Abdollah Shafieezadeh
    • 依托单位:
    Collaborative Research: Downburst Fragility Characterization of Transmission Line Systems Using Experimental and Validated Stochastic Numerical Simulations
    • 批准号:
      1762918
    • 项目类别:
      Standard Grant
    • 资助金额:
      $20.96万
    • 财政年份:
      2018
    • 负责人:
      Abdollah Shafieezadeh
    • 依托单位:
    A Novel Dynamically Coupled Storm Surge Hazard-Infrastructure Model for Effective Real-Time Risk-Informed Decision Making
    • 批准号:
      1563372
    • 项目类别:
      Standard Grant
    • 资助金额:
      $48.65万
    • 财政年份:
      2016
    • 负责人:
      Abdollah Shafieezadeh
    • 依托单位:
    Collaborative Research: Novel Fractional Order Ground Motion Intensity Measures for High Confidence Risk Assessment of Distributed Infrastructures
    • 批准号:
      1462183
    • 项目类别:
      Standard Grant
    • 资助金额:
      $22.72万
    • 财政年份:
      2015
    • 负责人:
      Abdollah Shafieezadeh
    • 依托单位:
    海外基金