Collaborative Research: Effect of Vertical Accelerations on the Seismic Performance of Steel Building Components: An Experimental and Numerical Study
合作研究:垂直加速度对钢建筑构件抗震性能的影响:实验和数值研究
基本信息
- 批准号:2244696
- 负责人:
- 金额:$ 21万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-02-01 至 2025-01-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
This award supports research to evaluate the effect of vertical accelerations on steel buildings during earthquakes using experiments and numerical models. Experimental studies on the impact of vertical accelerations on building response rarely have been conducted. Thus, numerical models cannot account for realistic data to predict the performance of building components. In this study, a near full-scale ten-story steel building will be instrumented to measure its vertical accelerations when tested on a shake table. The experimental data will be used to create numerical models to understand the behavior of beams, columns, slabs, and other components under vertical and horizontal seismic ground motions. The numerical models will be modified according to American design specifications to predict the seismic performance of steel buildings designed according to these standards and guidelines. Therefore, this research will improve the performance of steel buildings in seismic regions of the United States and provide much needed data for investigations on the vibration effects of beams and slabs on building occupants. The project will also support two Ph.D. students in the earthquake engineering field. The research outcomes will be disseminated through reports and journal publications. This project will contribute to the National Science Foundation (NSF) role in the National Earthquake Hazards Reduction Program. Data from this project will be archived in the NSF-supported Natural Hazards Engineering Research Infrastructure Data Depot (https://www.DesignSafe-ci.org).This study is a collaboration with the Japanese National Research Institute for Earth Science and Disaster Resilience (NIED) research team that will test the ten-story steel building on the 3D Full-Scale Earthquake Testing Facility (E-Defense) six-degrees-of-freedom shake table operated by NIED and located in Miki, Japan. The steel building includes moment resisting frames in the transverse direction and a dual system in the longitudinal direction consisting of interior buckling-restrained braced frames and exterior moment resisting frames. Non-structural components will be installed on several floors, as well as curtain walls. The structure will be subjected to ground motions with monotonically increasing seismic intensity, and structural components are expected to exhibit nonlinear inelastic behavior in the final stages of the experiment. The study tasks consist of i) implementing an instrumentation network in the ten-story steel building to collect accelerations and deformations on structural components during three-dimensional seismic shaking, ii) creating subassembly and system finite element models using research and commercial software platforms, resulting in validated modeling techniques to capture the impact of three-dimensional excitations, and iii) assessing the implications of vertical seismic demands on the structural resiliency of steel buildings designed according to U.S. practice. The study will produce the most complete and realistic modeling knowledge to date on the effect of vertical accelerations on steel buildings.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.
该奖项支持研究,以评估使用实验和数值模型在地震期间垂直加速度对钢结构的影响。关于垂直加速度对建筑物反应的影响的实验研究很少进行。因此,数值模型无法说明逼真的数据来预测建筑组件的性能。在这项研究中,在摇桌上测试时,将对几乎全尺度的十层钢结构进行仪器来测量其垂直加速度。实验数据将用于创建数值模型,以了解在垂直和水平地震地面运动下梁,柱,平板和其他组件的行为。数值模型将根据美国设计规范进行修改,以预测根据这些标准和准则设计的钢结构的地震性能。因此,这项研究将改善美国地震区域的钢结构的性能,并提供急需的数据,以调查横梁和板对建筑物乘员的振动影响。该项目还将支持两个博士学位。地震工程领域的学生。研究结果将通过报告和期刊出版物进行传播。该项目将促进国家科学基金会(NSF)在减少国家地震危害计划中的作用。 Data from this project will be archived in the NSF-supported Natural Hazards Engineering Research Infrastructure Data Depot (https://www.DesignSafe-ci.org).This study is a collaboration with the Japanese National Research Institute for Earth Science and Disaster Resilience (NIED) research team that will test the ten-story steel building on the 3D Full-Scale Earthquake Testing Facility (E-Defense)尼德(Nied)经营并位于日本米基(Miki)运营的六度奶昔表。钢制建筑包括横向方向上的瞬间框架,以及纵向方向上的双重系统,由内部屈曲弯曲的支撑框架和抵抗帧的外部力矩组成。非结构组件将安装在几层楼以及窗帘墙上。该结构将以单调增加的地震强度进行地面运动,预计结构成分在实验的最后阶段表现出非线性非弹性行为。研究任务包括i)在十层钢结构中实施仪器网络,以在三维的地震摇动期间收集结构组件的加速和变形,ii)创建使用研究和商业软件平台的子组装和系统有限元模型,从而捕获了验证的建模技术,以捕获三维兴奋的影响和III III的影响,并捕获III III的影响。根据美国实践设计的钢结构。该研究将产生迄今为止对垂直加速度对钢结构的影响的最完整,最现实的建模知识。该奖项反映了NSF的法定任务,并且使用基金会的知识分子优点和更广泛的影响评估标准,被认为值得通过评估来提供支持。
项目成果
期刊论文数量(0)
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科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Luis Ibarra其他文献
RESPUESTA CONDUCTUAL DE Aedes aegypti (Linnaeus, 1762) FRENTE A ADULTICIDAS PIRETROIDES DE USO FRECUENTE EN SALUD PÚBLICA
埃及伊蚊救助 (Linnaeus, 1762) FRENTE A DULTICIDAS PIRETROIDES DE USO FRECUENTE EN SALUD PÚBLICA
- DOI:
- 发表时间:
2008 - 期刊:
- 影响因子:0
- 作者:
Y. Ayala;Luis Ibarra;J. P. Grieco;Nicole L. Achee;Roberto Mercado;Ildefonso Fernández - 通讯作者:
Ildefonso Fernández
Performance Assessment of a Four-Story RC Structure Through Full-Scale Tests and Numerical Analysis
通过全面测试和数值分析对四层 RC 结构进行性能评估
- DOI:
- 发表时间:
2018 - 期刊:
- 影响因子:0
- 作者:
Cem Yenidogan;Ryo Yokoyama;Takuya Nagae;Koichi Kajiwara;Luis Ibarra - 通讯作者:
Luis Ibarra
Aplicación del modelo Servperf en los centros de atención Telcel, Hermosillo:
泰尔塞尔,埃莫西约:
- DOI:
- 发表时间:
2015 - 期刊:
- 影响因子:0
- 作者:
Luis Ibarra;E. Casas - 通讯作者:
E. Casas
Análisis Nutricional y Aminoácidos de Harinas de Tenebrio molitor1 y Gromphadorhina portentosa2
黄粉虫营养与氨基酸分析1 与门形小袋蛾2
- DOI:
10.3958/059.044.0408 - 发表时间:
2019 - 期刊:
- 影响因子:0.4
- 作者:
Alejandra Pérez;A. M. García;C. García;Luis Ibarra;Otilio García Munguía;Wendy Karina Gastelum Ferro - 通讯作者:
Wendy Karina Gastelum Ferro
Advantages of Fuzzy Control While Dealing with Complex/ Unknown Model Dynamics: A Quadcopter Example
模糊控制在处理复杂/未知模型动力学时的优势:四轴飞行器示例
- DOI:
10.5772/62530 - 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
Luis Ibarra;C. Webb - 通讯作者:
C. Webb
Luis Ibarra的其他文献
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{{ truncateString('Luis Ibarra', 18)}}的其他基金
MCA: Using Machine Learning to Predict Seismic Failure Limit States in Buildings
MCA:使用机器学习来预测建筑物的地震破坏极限状态
- 批准号:
2121169 - 财政年份:2021
- 资助金额:
$ 21万 - 项目类别:
Standard Grant
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