Natural Hazards Engineering Research Infrastructure: Computational Modeling and Simulation Center 2021-2025

自然灾害工程研究基础设施:计算建模与仿真中心 2021-2025

基本信息

  • 批准号:
    2131111
  • 负责人:
  • 金额:
    $ 1275万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Cooperative Agreement
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-10-01 至 2025-09-30
  • 项目状态:
    未结题

项目摘要

The Natural Hazards Engineering Research Infrastructure (NHERI) is supported by the National Science Foundation (NSF) as a distributed, multi-user national facility to provide the natural hazards engineering research community with access to research infrastructure that includes earthquake and wind engineering experimental facilities, cyberinfrastructure (CI), computational modeling and simulation tools, high performance computing resources, and research data, as well as education and community outreach activities. Originally funded under program solicitations NSF 14-605 and NSF 15-598, NHERI has operated since 2015 through separate, but coordinated, five-year research infrastructure awards for a Network Coordination Office, CI, Computational Modeling and Simulation Center (SimCenter), and Experimental Facilities, including a post-disaster, rapid response research facility. This award will renew the SimCenter component of NHERI at the University of California, Berkeley, from October 1, 2021, to September 30, 2025, along with its ten partner institutions: Georgia State University, Johns Hopkins University, Stanford University, University of California at Los Angeles, University of California at San Diego, University of Delaware, University of Michigan, University of Notre Dame, University of Southern California, and University of Washington. The SimCenter’s mission is to provide next generation computational modeling and simulation software tools, user support, and educational materials for natural hazards engineering research to simulate the impact of natural hazards, such as earthquakes and windstorms, on buildings, transportation and lifeline systems, and communities. The SimCenter’s software development is motivated by three grand challenges for natural hazards engineering that entail (1) quantifying the damaging characteristics of earthquakes, hurricanes, and other hazards; (2) assessing the physical and social vulnerabilities of civil infrastructure and communities exposed to hazards; and (3) creating technologies and engineering tools to design, construct, retrofit, and operate a multi-hazard resilient and sustainable infrastructure for the nation. The SimCenter will address these challenges through the development of an extensible library of software components and computational workflows that foster multi-disciplinary research collaboration to simulate the impact of natural hazards on communities with unprecedented scale, complexity, and resolution. Education and outreach activities, including a researcher in residence program for visiting faculty, post doctoral scholars, and students; biennial meetings for developers and current and potential users; seminars; workshops; software training bootcamps; community-engaged working groups; and user support, will empower a diverse and collaborative workforce to tackle challenges that can inform decision making on planning, design, and deployment of mitigation strategies to create more resilient communities. This award will contribute to NSF's role in the National Earthquake Hazards Reduction Program (NEHRP) and the National Windstorm Impact Reduction Program (NWIRP).The SimCenter’s software framework is a robust, open-source, extensible, and cloud-based system that will utilize the high-performance computing (HPC) and data management tools provided by NHERI’s DesignSafe CI web portal (https://www.DesignSafe-ci.org). The SimCenter’s computational tools will be designed to integrate modeling and simulation from the source of a hazard through to assessment of its impact and consequences across multiple scales, e.g., from detailed assessment of damage and repair of individual buildings due to a hurricane to regional impacts on recovery of communities. The software will enable modeling of seismic, wind, and hydrodynamic actions, simulating linear and nonlinear dynamic response to these actions, assessing performance, and analyzing networks. The software framework will aid analysis throughout the modeling and simulation process with advanced tools for workflow management, machine-learning-assisted tools for modeling and inventory development, statistical optimization tools for surrogate model development and calibration, and methods for uncertainty quantification. Testbed studies of regional natural hazard scenarios will drive development by identifying key research needs and integrating needed tools. Test data, refined numerical simulations, and user experiences will be used to build skills and confidence in high-resolution computational models. Desktop application interfaces will provide convenient user control to create computational workflows that combine underlying software components and databases. The software tools will enable unparalleled integration and interoperability of applications empowering multi-disciplinary research teams to collaboratively address the three grand challenges using the best HPC available. Information about the SimCenter research and learning tools is available on the SimCenter page on the NHERI web portal (https://simcenter.designsafe-ci.org).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
自然危害工程研究基础结构(NHERI)得到了国家科学基金会(NSF)的设施,用于自然危害工程英语,并获得了访问研究基础设施,包括地震和D工程实验设施,Cyber​​infrasture(CI),计算建模和模拟建​​模和模拟建​​模和模拟建​​模设施(CI)工具,高性能计算资源和研究数据。建模和仿真NTER(Simcenter)和实验设施,包括2021年9月30日的加利福尼亚大学伯克利分校的NHERI的快速研究机构。合作伙伴Intner Intnertia State Sity,Johns Hopkins University,Stanford University,加利福尼亚大学,洛杉矶分校,加利福尼亚大学圣地亚哥分校,密歇根大学,圣母大学,南加州大学,加利福尼亚大学。 GenerationG和模拟软件工具以及对自然危害的影响,例如地震和风暴,对建筑物的茎和社区地震的特征和其他危害的危害;纪律间的合作旨在模拟未经规模的范围,复杂性,教育和宣传活动的ts;这可以为制定和部署策略的决策提供信息,以创建更多的弹性社区(NEHRP)。 Neri的DesignSafe CI Web门户(https://www.designsignsafe-ci.org)提供的计算(HPC)和数据管理工具。它的影响及其多个量表的影响,例如,由于飓风造成的损害和个人修复的详细评估,到区域对社区恢复的影响。使用高级工具管理的仿真工具,用于不确定性量化的模态开发OD。 - ACES将提供召集的用户控制,以创建固定的软件组件和数据库,并使用最佳HPC上的HPC信息,以授权多学科研究团队的应用程序。并且可以在NHERI Web门户网站(https://simcenter.designsafe-ci.org)上获得学习工具。该奖项反映了NSF'SSSI,并且值得通过Teundation的知识分子优点和Boader Impact Impact Impact Impact Impact Impact Implation评论评论评论标准。

项目成果

期刊论文数量(14)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Community Perspectives on Simulation and Data Needs for the Study of Natural Hazard Impacts and Recovery
自然灾害影响和恢复研究的模拟和数据需求的社区观点
  • DOI:
    10.1061/nhrefo.nheng-1551
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    2.7
  • 作者:
    Zsarnóczay, Adam;Deierlein, Gregory G.;Williams, Caroline J.;Kijewski-Correa, Tracy L.;Esnard, Ann-Margaret;Lowes, Laura N.;Johnson, Laurie
  • 通讯作者:
    Johnson, Laurie
Sensitivity Analysis and Bayesian Calibration of OpenSees Models Using quoFEM
使用 quoFEM 对 OpenSees 模型进行灵敏度分析和贝叶斯校准
AdaLN: A Vision Transformer for Multidomain Learning and Predisaster Building Information Extraction from Images
  • DOI:
    10.1061/(asce)cp.1943-5487.0001034
  • 发表时间:
    2022-09-01
  • 期刊:
  • 影响因子:
    6.9
  • 作者:
    Guo, Yunhui;Wang, Chaofeng;Law, Kincho H. H.
  • 通讯作者:
    Law, Kincho H. H.
Computationally Efficient Adaptive Design of Experiments for Global Metamodeling through Integrated Error Approximation and Multicriteria Search Strategies
通过集成误差近似和多标准搜索策略进行全局元建模实验的计算高效自适应设计
  • DOI:
    10.1061/jenmdt.emeng-7083
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    3.3
  • 作者:
    Yi, Sang-ri;Taflanidis, Alexandros A.
  • 通讯作者:
    Taflanidis, Alexandros A.
Surrogate modeling of structural seismic response using probabilistic learning on manifolds
  • DOI:
    10.1002/eqe.3839
  • 发表时间:
    2023-02
  • 期刊:
  • 影响因子:
    4.5
  • 作者:
    Kuanshi Zhong;Javier G. Navarro;S. Govindjee;G. Deierlein
  • 通讯作者:
    Kuanshi Zhong;Javier G. Navarro;S. Govindjee;G. Deierlein
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Matthew DeJong其他文献

Teaching as Mentoring: How Secondary School Teachers Engage in the Mentoring of Students
教学即辅导:中学教师如何参与学生的辅导
  • DOI:
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Matthew DeJong
  • 通讯作者:
    Matthew DeJong
Reaching the Goal
达到目标
  • DOI:
    10.1007/978-94-6300-393-3_8
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Matthew DeJong
  • 通讯作者:
    Matthew DeJong

Matthew DeJong的其他文献

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{{ truncateString('Matthew DeJong', 18)}}的其他基金

Tunnelling-induced settlement damage to masonry structures: Centrifuge testing and computational modelling
隧道开挖引起的砌体结构沉降损坏:离心机测试和计算建模
  • 批准号:
    EP/K018221/1
  • 财政年份:
    2013
  • 资助金额:
    $ 1275万
  • 项目类别:
    Research Grant
Retrofit of Rocking Structures
摇摆结构的改造
  • 批准号:
    EP/H032657/1
  • 财政年份:
    2010
  • 资助金额:
    $ 1275万
  • 项目类别:
    Research Grant

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动静载荷作用下冲击危险巷道梯度围岩结构损伤机制与失稳前兆特征
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    2023
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    49 万元
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    面上项目
破裂岩体内非线性渗流机制与突水危险性量化方法研究
  • 批准号:
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  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
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煤矿冲击危险区域卸压钻进响应规律与危险程度智能辨识方法
  • 批准号:
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  • 批准年份:
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  • 资助金额:
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CAREER: Accelerating Real-time Hybrid Physical-Numerical Simulations in Natural Hazards Engineering with a Graphics Processing Unit (GPU)-driven Paradigm
职业:利用图形处理单元 (GPU) 驱动的范例加速自然灾害工程中的实时混合物理数值模拟
  • 批准号:
    2310171
  • 财政年份:
    2022
  • 资助金额:
    $ 1275万
  • 项目类别:
    Continuing Grant
Natural Hazards Engineering Research Infrastructure (NHERI) Decadal Visioning for FY 2026-FY 2035
自然灾害工程研究基础设施 (NHERI) 2026 财年至 2035 财年十年愿景
  • 批准号:
    2227014
  • 财政年份:
    2022
  • 资助金额:
    $ 1275万
  • 项目类别:
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CAREER: Accelerating Real-time Hybrid Physical-Numerical Simulations in Natural Hazards Engineering with a Graphics Processing Unit (GPU)-driven Paradigm
职业:利用图形处理单元 (GPU) 驱动的范例加速自然灾害工程中的实时混合物理数值模拟
  • 批准号:
    2145665
  • 财政年份:
    2022
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Natural Hazards Engineering Research Infrastructure: Large, High-Performance Outdoor Shake Table 2022-2025
自然灾害工程研究基础设施:大型高性能户外振动台 2022-2025
  • 批准号:
    2227407
  • 财政年份:
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POSE: Phase I: Tuitus - A sustainable, inclusive, open ecosystem for Natural Hazards Engineering
POSE:第一阶段:Tuitus - 一个可持续、包容、开放的自然灾害工程生态系统
  • 批准号:
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    2022
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    $ 1275万
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    Standard Grant
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