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Natural Hazards Engineering Research Infrastructure: Experimental Facility with Large-Scale, Multi-directional, Hybrid Simulation Testing Capabilities 2021-2025

自然灾害工程研究基础设施：具有大规模、多方位、混合模拟测试能力的实验设施2021-2025

基本信息

批准号：
2037771
负责人：
James Ricles
金额：
$ 532.92万
依托单位：
Lehigh University
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：
2021-01-01 至 2025-09-30
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2037771&HistoricalAwards=false
关键词：
Natural Hazards Engineering Research Infrastructure

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, and Experimental Facilities, including a post-disaster, rapid response research facility. Information about NHERI resources are available at the NHERI web portal (https://www.DesignSafe-ci.org). Awards made for NHERI contribute to NSF's role in the National Earthquake Hazards Reduction Program (NEHRP) and the National Windstorm Impact Reduction Program (NWIRP). NHERI Experimental Facilities will provide access to their experimental resources, user services, and data management infrastructure for NSF-supported research and education awards. This award will renew the NHERI Experimental Facility at Lehigh University from January 1, 2021, to September 30, 2025. Through this award, researchers will have access to the facility's experimental resources to perform accurate, large-scale simulations in multi-directions to study the effects of natural hazards on civil infrastructure, including the effects of soil-foundation-structure interaction under wind and earthquake hazards. The research performed at the facility will promote advances in community natural hazard resilience, as the experimental data and related computational models will be used to validate new structural concepts for design and retrofit that will advance the performance of infrastructure systems during natural hazard events. Data acquired from research conducted at the facility will be valuable in developing a deeper understanding of the key physical responses, vulnerabilities, and factors that influence the resilience of civil infrastructure and communities. The facility will create opportunities to develop a diverse workforce through natural hazards engineering research, educational activities, and professional practice. The education and outreach programs will target a diverse audience at all levels and attract students into science, engineering, and technology, while also reaching out to promote, educate, and inform the engineering community about new discoveries and advancements in performance-based natural hazards engineering. Experimental data generated from the research conducted at this facility will be archived in the Data Depot on the NHERI web portal. The facility will conduct annual workshops for prospective users and will host Research Experiences for Undergraduate students.The experimental resources, which include a multi-directional reaction wall, strong floor, servo-controlled hydraulic actuators, and advanced testing algorithms, will support large-scale, multi-directional testing. This includes real-time hybrid simulation (RTHS), which uses physical models of the least-understood parts of the system in the laboratory, along with computer-based numerical models of the rest of the system, to enable the definition of the “system” to be expanded well beyond the size of typical laboratory physical models. The performance of large-scale components and systems subject to multi-directional demand from natural hazards can be readily assessed through the application of one of more of the testing techniques provided by the facility that includes: (1) hybrid simulation (HS), which combines large-scale physical models with computer-based numerical simulation models; (2) geographically distributed HS (DHS), which is a HS with physical models and/or numerical simulation models located in different laboratories and connected through the Internet; (3) RTHS, which is a HS conducted at the actual time scale of the physical models and events, such as an earthquake, a wind natural hazard, or multi-natural hazards; (4) geographically distributed RTHS (DRTHS), which combines DHS and RTHS; (5) dynamic testing (DT), which uses high speed servo-controlled hydraulic actuators or other methods to load large-scale physical models at real-time scales through predefined force or displacement histories to characterize their dynamic response; and (6) quasi-static testing (QS), which uses hydraulic actuators to load large-scale physical models through predefined force and/or displacement histories to characterize their static response. The high-quality, system-level experimental data acquired at the facility through the use of a broad array of instrumentation and advanced sensors will provide a valuable and unique resource for the natural hazards community to develop and validate high-fidelity computational models, leading to advances in the knowledge and understanding of civil infrastructure response to natural hazards.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.

自然灾害工程研究基础设施（NHERI）由美国国家科学基金会（NSF）支持，作为一个分布式，多用户的国家设施，为自然灾害工程研究社区提供研究基础设施，包括地震和风力工程实验设施，网络基础设施（CI），计算建模和仿真工具，高性能计算资源和研究数据。以及教育和社区外展活动。NHERI最初由NSF 14-605和NSF 15-598项目资助，自2015年以来，NHERI一直通过单独但协调的五年研究基础设施奖项为网络协调办公室，CI，计算建模和仿真中心以及实验设施，包括灾后快速反应研究设施。有关NHERI资源的信息可在NHERI门户网站（https：//www.example.com）上查阅。www.DesignSafe-ci.org为NHERI颁发的奖项有助于NSF在国家减少地震灾害计划（NEHRP）和国家减少风暴影响计划（NWIRP）中发挥作用。NHERI实验设施将为NSF支持的研究和教育奖项提供实验资源，用户服务和数据管理基础设施。该奖项将于2021年1月1日至2025年9月30日更新利哈伊大学的NHERI实验设施。通过该奖项，研究人员将有机会获得该设施的实验资源，以进行多方向的精确，大规模模拟，研究自然灾害对民用基础设施的影响，包括风和地震灾害下土壤-基础-结构相互作用的影响。在该设施进行的研究将促进社区自然灾害复原力的进步，因为实验数据和相关的计算模型将用于验证新的设计和改造结构概念，这将提高基础设施系统在自然灾害事件期间的性能。从该设施进行的研究中获得的数据将有助于更深入地了解关键的物理反应，脆弱性以及影响民用基础设施和社区复原力的因素。该设施将创造机会，通过自然灾害工程研究，教育活动和专业实践来发展多元化的劳动力。教育和推广计划将针对各级不同的受众，吸引学生进入科学，工程和技术领域，同时还将推广，教育和告知工程界关于基于性能的自然灾害工程的新发现和进步。在该机构进行的研究生成的实验数据将存档在NHERI门户网站的数据库中。该实验室将为潜在用户举办年度研讨会，并为本科生举办研究体验。实验资源包括多方向反作用墙、坚固地板、伺服控制液压执行器和先进的测试算法，将支持大规模、多方向的测试。这包括实时混合模拟（RTHS），它使用实验室中系统最不了解部分的物理模型，沿着系统其余部分的基于计算机的数值模型，以使“系统”的定义远远超出典型的实验室物理模型的大小。通过应用该设施提供的一种或多种测试技术，可以轻松评估受自然灾害多方向需求影响的大型部件和系统的性能，其中包括：（1）混合模拟（HS），将大规模物理模型与基于计算机的数值模拟模型相结合;（2）地理上分布式的HS（DHS），其是物理模型和/或数值模拟模型位于不同实验室并通过因特网连接的HS;（3）RTHS，即在物理模型和事件（如地震、风灾害或多种自然灾害）的实际时间尺度上进行的HS;（4）结合DHS和RTHS的地理分布式RTHS（DRTHS）;（5）动态测试（DT），其使用高速伺服控制液压致动器或其它方法来在真实的加载大规模物理模型，通过预定义的力或位移历史进行时间标度，以表征其动态响应;准静态试验（QS），其使用液压致动器通过预定的力和/或位移历史来加载大规模物理模型以表征它们的静态响应。该设施通过使用各种仪器和先进传感器获得的高质量系统级实验数据将为自然灾害界开发和验证高保真计算模型提供宝贵和独特的资源，这一奖项反映了NSF的法定使命，被认为是值得的。通过使用基金会的知识价值和更广泛的影响审查标准进行评估，

项目成果

期刊论文数量（26）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Experimental Cyclic Test of Reduced Damage Detailed Drywall Partition Walls Integrated with a Timber Rocking Wall

与木摇墙集成的减少损坏的详细干墙隔墙的实验循环测试

DOI：
10.1080/13632469.2020.1859005
发表时间：
2021
期刊：
Journal of Earthquake Engineering
影响因子：
2.6
作者：
Hasani, Hamed;Ryan, Keri L.
通讯作者：
Ryan, Keri L.

Nonlinear static analysis of extreme structural behavior: Overcoming convergence issues via an unconditionally stable explicit dynamic approach

DOI：
10.1016/j.istruc.2023.01.086
发表时间：
2023-03
期刊：
Structures
影响因子：
4.1
作者：
Si-Cong Xie;C. Kolay;D. Feng;J. Ricles
通讯作者：
Si-Cong Xie;C. Kolay;D. Feng;J. Ricles

Modeling uncertainty of specimens employing spines and force‐limiting connections tested at E‐defense shake table

DOI：
10.1002/eqe.3976
发表时间：
2023-07
期刊：
Earthquake Engineering & Structural Dynamics
影响因子：
4.5
作者：
B. Astudillo;David Rivera;Jessica Duke;B. Simpson;L. Fahnestock;R. Sause;J. Ricles;M. Kurata;T. Okazaki;Y. Kawamata;Zhuoqi Tao;Yi Qie
通讯作者：
B. Astudillo;David Rivera;Jessica Duke;B. Simpson;L. Fahnestock;R. Sause;J. Ricles;M. Kurata;T. Okazaki;Y. Kawamata;Zhuoqi Tao;Yi Qie

Towards seismic performance quantification of viscous damped steel structure: Site-specific hazard analysis and response prediction

粘性阻尼钢结构抗震性能量化：特定场地危害分析和响应预测