RAPID/Collaborative Research: Japan-U.S. Collaboration on the Seismic Performance of Reinforced Concrete Structures
RAPID/合作研究:日美在钢筋混凝土结构抗震性能方面的合作
基本信息
- 批准号:2000560
- 负责人:
- 金额:$ 5.46万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-11-01 至 2020-10-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Reinforced concrete (RC) structures comprise most of the multi-family residential buildings in the U.S. and many other countries. When buildings are subjected to catastrophic events such as earthquakes, there is the need to assess their level of structural safety after the event. Structural assessment activities present two challenges - collecting high quality damage data and interpreting the acquired data in a meaningful and rational way - to produce estimates of the level of safety and residual strength of the inspected building. While advanced data acquisition systems are available to collect structural damage data, new methods are needed to analyze the collected data to assess structural performance. This Grant for Rapid Response Research (RAPID) will support a team of researchers from the University of Washington and the University of Nevada, Reno, to collaborate with researchers from Japanese universities on experimental research investigating the seismic performance of RC building systems. The experimental research will involve the dynamic testing of a full-scale, three-story RC building as part of the ongoing Tokyo Metropolitan Resilience Project (TMRP) supported in Japan by the Ministry of Education, Culture, Sports, Science and Technology and the National Research Institute for Earth Science and Disaster Resilience. The experiments will be conducted at the world's largest shake table, E-Defense in Miki, Japan, in December 2019. The main goal of this RAPID project is to acquire, process, and analyze dynamic response and damage data pertaining to both structural and non-structural elements of the building. The data will be collected using equipment recently acquired by the NSF-supported Natural Hazards Engineering Research Infrastructure (NHERI) RAPID Facility (https://rapid.designsafe-ci.org/) and the high-speed, high-resolution digital image correlation (DIC) integrated monitoring system recently developed at the University of Nevada, Reno. The processing and interpretation of this data will advance the state of knowledge and practice in post-earthquake structural assessments of buildings. The project will train two graduate students and several undergraduate students in structural integrity research and promote collaboration between Japanese and U.S. researchers. All collected data will be archived and made publicly available in the NSF-supported NHERI Data Depot (https://www.DesignSafe-ci.org/). Additionally, the results of this project will be disseminated via journal publications, conference presentations, a public webinar, and live broadcasts. This project contributes to NSF's role in the National Earthquake Hazards Reduction Program (NEHRP). In this RAPID project, the Japanese and U.S. research team will investigate the seismic performance of a full-scale, three-story RC building system tested at the E-Defense shake table as part of the Japanese TMRP project. The key objectives of this collaborative project are to: (1) provide better understanding of dynamic response of RC buildings, (2) investigate the capabilities of new instrumentation to capture structural performance and damage data, and (3) evaluate current post-earthquake structural assessment procedures and use the acquired data to provide information for refinements. The collected data and structural assessment procedures will also help policymakers in the U.S., Japan, and other countries to plan retrofit efforts strategically and effectively.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.
钢筋混凝土(RC)结构包括美国和许多其他国家的大多数多户住宅建筑。当建筑物遭受地震等灾难性事件时,有必要在事件发生后评估其结构安全水平。结构评估活动提出了两个挑战-收集高质量的损坏数据和以有意义和合理的方式解释所获得的数据-以估计所检查建筑物的安全水平和剩余强度。虽然先进的数据采集系统可用于收集结构损伤数据,但需要新的方法来分析所收集的数据以评估结构性能。 快速反应研究(RAPID)将支持来自华盛顿大学和内华达州大学里诺分校的研究人员与日本大学的研究人员合作,进行RC建筑系统抗震性能的实验研究。 实验研究将涉及一个全尺寸的三层钢筋混凝土建筑的动态测试,作为正在进行的东京都市恢复力项目(TMRP)的一部分,该项目由日本教育,文化,体育,科学和技术部以及国家地球科学和灾害恢复力研究所支持。实验将于2019年12月在日本三木的世界上最大的振动台E-Defense进行。该RAPID项目的主要目标是获取、处理和分析与建筑物的结构和非结构元素有关的动态响应和损坏数据。将使用NSF支持的自然灾害工程研究基础设施(NHERI)RAPID设施(https://rapid.designsafe-ci.org/)最近获得的设备和里诺的内华达州大学最近开发的高速、高分辨率数字图像相关(DIC)综合监测系统收集数据。这些数据的处理和解释将推进建筑物震后结构评估的知识和实践。该项目将培训两名研究生和几名本科生进行结构完整性研究,并促进日本和美国研究人员之间的合作。所有收集的数据将在NSF支持的NHERI数据库(https://www.DesignSafe-ci.org/)中存档并公开提供。此外,该项目的成果将通过期刊出版物、会议演示、公共网络研讨会和现场广播传播。该项目有助于NSF在国家减少地震灾害计划(NEHRP)中发挥作用。在这个RAPID项目中,日本和美国的研究团队将调查一个全尺寸的三层钢筋混凝土建筑系统的抗震性能,该系统是日本TMRP项目的一部分,在E-Defense振动台上进行测试。 这个合作项目的主要目标是:(1)提供更好的了解钢筋混凝土建筑物的动态响应,(2)调查新的仪器捕获结构性能和损坏数据的能力,(3)评估当前的地震后结构评估程序,并使用所获得的数据提供信息的改进。 收集的数据和结构评估程序也将有助于美国的政策制定者,该奖项反映了NSF的法定使命,并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,被认为值得支持。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
THE 2019 TOKYO METROPOLITAN RESILIENCE PROJECT E-DEFENSE TEST OF A 3-STORY DISASTER MANAGEMENT CENTER
2019 年东京都复原力项目 3 层灾难管理中心的电子防御测试
- DOI:
- 发表时间:2020
- 期刊:
- 影响因子:0
- 作者:Yeow, TZ;Kusunoki, K;Nakamura, I;Hibino, Y;Ohkubo, T;Seike, T;Yagi, S;Mukai, T;Calvi, P;Moustafa, MA
- 通讯作者:Moustafa, MA
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Mohamed Moustafa其他文献
Assessing the physiological effect of non-driving-related task performance and task modality in conditionally automated driving systems: A systematic review and emmeta/em-analysis
评估条件自动驾驶系统中与驾驶无关的任务绩效和任务模式的生理效应:系统综述和荟萃/荟萃分析
- DOI:
10.1016/j.aap.2023.107243 - 发表时间:
2023-11-01 - 期刊:
- 影响因子:6.200
- 作者:
Rory Coyne;Leona Ryan;Mohamed Moustafa;Alan F. Smeaton;Peter Corcoran;Jane C. Walsh - 通讯作者:
Jane C. Walsh
Real-Time Hand Gesture Recognition: Integrating Skeleton-Based Data Fusion and Multi-Stream CNN
实时手势识别:集成基于骨架的数据融合和多流 CNN
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Oluwaleke Yusuf;Maki Habib;Mohamed Moustafa - 通讯作者:
Mohamed Moustafa
A New Approach on the Egyptian Black Sand Ilmenite Alteration Processes
埃及黑砂钛铁矿蚀变过程的新途径
- DOI:
10.48084/etasr.6026 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Mohamed Moustafa - 通讯作者:
Mohamed Moustafa
Assessing the physiological effect of non-driving-related task performance and task modality in conditionally automated driving systems: A systematic review and <em>meta</em>-analysis
- DOI:
10.1016/j.aap.2023.107243 - 发表时间:
2023-11-01 - 期刊:
- 影响因子:
- 作者:
Rory Coyne;Leona Ryan;Mohamed Moustafa;Alan F. Smeaton;Peter Corcoran;Jane C. Walsh - 通讯作者:
Jane C. Walsh
Optimizing solar performance of CFTSe-based solar cells using MoSe2 as an innovative buffer layers
- DOI:
10.1038/s41598-024-82309-7 - 发表时间:
2025-01-03 - 期刊:
- 影响因子:3.900
- 作者:
Mohamed Moustafa;Ziad Abu Waar;Shadi Yasin - 通讯作者:
Shadi Yasin
Mohamed Moustafa的其他文献
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