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

• 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

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。建模和模拟设施，包括灾后快速的呼吸研究机构。修订计划（NWIRP）。为了对民用基础架构进行准确的危害，由于经验数据和相关的计算模型将在设施中进行土壤构造互动的影响。从该设施进行的研究中获得的自然危害期间的基础架构系统的性能对于发展关键的物理响应，脆弱性以及影响民用基础设施和社区的空间的因素将很有价值。通过Naturds工程研究，教育活动和专业实践的多样化劳动力。基于预期的自然危害工程。将支持Cale，多方向测试。可以准备好对Applicho进行多个自然危害需求的大规模组件和系统的性能，包括：（1）混合模拟（HS），该设施提供了另一种测试技术，该技术结合了大型大型测试技术 - 具有基于计算机的数值仿真模型的物理模型； S和/或位于不同实验室中的数值模型并连接了Internet； （Drtribs），结合了DHS和RTHS（5个动态测试（DT），我们的高速伺服对照或其他方法以预先定义的力量或位移历史表征在实时尺度上加载大型模型他们的动态响应；（6）准静态测试（QS），它使用液压执行器通过预定的力和/或静态响应来加载大规模的模型。设施使用广泛的仪器和先进的传感器将使人们对自然危害的含量为生，从而占用了高保真的计算模型，从而在知识和理解民用基础设施响应方面取得了进步。故事使命，并使用基金会的智力优点和更广泛的影响标准通过评估来取得支持。

项目成果

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

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

• DOI: 10.1016/j.engstruct.2023.115677
• 发表时间: 2023
• 期刊: Engineering Structures
• 影响因子: 5.5
• 作者: Dong, Baiping;Ricles, James M.
• 通讯作者: Ricles, James M.

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

Editorial: Natural Hazards Engineering Research Infrastructure (NHERI): Mitigating the Impact of Natural Hazards on Civil Infrastructure and Communities

社论：自然灾害工程研究基础设施 (NHERI)：减轻自然灾害对民用基础设施和社区的影响

• DOI: 10.3389/fbuil.2021.708450
• 发表时间: 2021
• 期刊: Frontiers in Built Environment
• 影响因子: 3
• 作者: Chowdhury, Arindam;Conte, Joel;Masters, Forrest;Ramirez, Julio;Ricles, James
• 通讯作者: Ricles, James