CAREER: Integrated Modeling of Sustainability and Reliability for Interdependent Infrastructure Systems

职业:相互依赖的基础设施系统的可持续性和可靠性集成建模

基本信息

  • 批准号:
    1149460
  • 负责人:
  • 金额:
    $ 40万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2012
  • 资助国家:
    美国
  • 起止时间:
    2012-06-01 至 2016-03-31
  • 项目状态:
    已结题

项目摘要

The objective of this Faculty Early Career Development (CAREER) program award is to provide an approach for assessing the economic, environmental, and social sustainability and reliability of interdependent power and water systems. This is intended to better support proactive management of public and private infrastructure, particularly in areas susceptible to natural hazards such as hurricanes and earthquakes. The research develops indicators for measuring trends in the sustainability of power and water systems, providing a basis for changing the management and funding of these systems to improve their sustainability. The project also provides new computational frameworks for modeling interdependent power and water systems. The impacts of natural hazards such as hurricanes and earthquakes will be combined with the effects of aging to develop a more holistic reliability modeling approach for infrastructure systems. The reliability and sustainability models are brought into the infrastructure management process to help support meaningful change in power and water systems in hazard-prone areas. If successful, this work will contribute to the development of improved methods for assessing and managing aging infrastructure systems in the US. These improved methods would allow limited public and private funds to be used more efficiently to improve infrastructure systems before they fail rather than relying on a reactive approach of repairing failures after they occur. This project will also develop a series of on-line and classroom teaching materials for middle school, high school, college, graduate school, and professional education. These materials will help to further establish a pipeline of students who are interested and educated in infrastructure engineering.
这个教师早期职业发展(Career)项目的目标是提供一种方法来评估相互依赖的电力和水系统的经济、环境和社会可持续性和可靠性。这是为了更好地支持公共和私人基础设施的主动管理,特别是在易受飓风和地震等自然灾害影响的地区。该研究制定了衡量电力和水系统可持续性趋势的指标,为改变这些系统的管理和供资提供了基础,以改善其可持续性。该项目还为相互依存的电力和水系统建模提供了新的计算框架。飓风和地震等自然灾害的影响将与老化的影响相结合,为基础设施系统开发更全面的可靠性建模方法。可靠性和可持续性模型被引入基础设施管理过程,以帮助支持易发灾害地区的电力和水系统的有意义的变化。如果成功,这项工作将有助于开发评估和管理美国老化基础设施系统的改进方法。这些改进的方法将使有限的公共和私人资金能够更有效地用于在基础设施系统发生故障之前改善它们,而不是依赖于在故障发生后进行修复的被动方法。该计划也将为初中、高中、大学、研究生院和专业教育开发一系列在线和课堂教学材料。这些材料将有助于进一步培养对基础设施工程感兴趣和受过教育的学生。

项目成果

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Seth Guikema其他文献

Building Trees for Probabilistic Prediction via Scoring Rules
通过评分规则构建概率预测树
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    2.5
  • 作者:
    Sara Shashaani;O. Surer;Matthew Plumlee;Seth Guikema
  • 通讯作者:
    Seth Guikema
Trust and trustworthy artificial intelligence: A research agenda for AI in the environmental sciences
信任和值得信赖的人工智能:环境科学领域人工智能的研究议程
  • DOI:
    10.1111/risa.14245
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    3.8
  • 作者:
    Ann Bostrom;J. Demuth;Christopher D. Wirz;Mariana G Cains;Andrea Schumacher;Deianna Madlambayan;A. S. Bansal;A. Bearth;Randy J. Chase;Katherine M. Crosman;I. Ebert‐Uphoff;D. Gagne;Seth Guikema;Robert Hoffman;Branden B Johnson;Christina Kumler;John D. Lee;Anna Lowe;Amy McGovern;Vanessa Przybylo;Jacob T Radford;Emilie Roth;Carly Sutter;Philippe Tissot;Paul Roebber;Jebb Q. Stewart;Miranda C. White;John K. Williams
  • 通讯作者:
    John K. Williams
Estimating pre-impact and post-impact evacuation behaviors – An empirical study of hurricane Ida in coastal Louisiana and Mississippi
评估影响前和影响后的疏散行为——对路易斯安那州沿海和密西西比州飓风艾达的实证研究
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    6.1
  • 作者:
    Jiayun Shen;Pamela M. Murray;Kris Wernstedt;Seth Guikema
  • 通讯作者:
    Seth Guikema
A proposal for including technical failure risk in market-based resource reallocation for spacecraft design
  • DOI:
    10.1016/j.ress.2006.03.002
  • 发表时间:
    2007-05-01
  • 期刊:
  • 影响因子:
  • 作者:
    Seth Guikema
  • 通讯作者:
    Seth Guikema
Power outage prediction using data streams: An adaptive ensemble learning approach with a feature‐ and performance‐based weighting mechanism
使用数据流进行断电预测:一种具有基于特征和性能的加权机制的自适应集成学习方法
  • DOI:
    10.1111/risa.14211
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    3.8
  • 作者:
    Elnaz Kabir;Seth Guikema;S. Quiring
  • 通讯作者:
    S. Quiring

Seth Guikema的其他文献

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{{ truncateString('Seth Guikema', 18)}}的其他基金

CRISP Type 2/Collaborative Research: Coordinated, Behaviorally-Aware Recovery for Transportation and Power Disruptions (CBAR-tpd)
CRISP 类型 2/合作研究:针对交通和电力中断的协调、行为感知恢复 (CBAR-tpd)
  • 批准号:
    1638197
  • 财政年份:
    2017
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Workshop/Collaborative Research: Interdisciplinary Methods for Disaster Research
研讨会/合作研究:灾害研究的跨学科方法
  • 批准号:
    1649879
  • 财政年份:
    2016
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
CAREER: Integrated Modeling of Sustainability and Reliability for Interdependent Infrastructure Systems
职业:相互依赖的基础设施系统的可持续性和可靠性集成建模
  • 批准号:
    1621116
  • 财政年份:
    2015
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Hazards SEES Type 2: Modeling to Promote Regional Resilience to Repeated Heat Waves and Hurricanes
灾害 SEES 类型 2:建立模型以提高区域对反复出现的热浪和飓风的抵御能力
  • 批准号:
    1631409
  • 财政年份:
    2015
  • 资助金额:
    $ 40万
  • 项目类别:
    Continuing Grant
A Sensitivity Approach to Assessing Model Uncertainty for Stochastic Systems
评估随机系统模型不确定性的灵敏度方法
  • 批准号:
    1542020
  • 财政年份:
    2015
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Hazards SEES Type 2: Modeling to Promote Regional Resilience to Repeated Heat Waves and Hurricanes
灾害 SEES 类型 2:建立模型以提高区域对反复出现的热浪和飓风的抵御能力
  • 批准号:
    1331399
  • 财政年份:
    2013
  • 资助金额:
    $ 40万
  • 项目类别:
    Continuing Grant
Drinking Water Distribution System Management Incorporating Health and Asset Risk
纳入健康和资产风险的饮用水分配系统管理
  • 批准号:
    1031046
  • 财政年份:
    2010
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
Multi-Scale Modeling of Interdependent Critical Infrastructure System Performance During Hurricanes
飓风期间相互依赖的关键基础设施系统性能的多尺度建模
  • 批准号:
    0968711
  • 财政年份:
    2010
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant

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