NEESR: Near Collapse Performance of Existing Reinforced Concrete Frame Buildings

NEESR：现有钢筋混凝土框架建筑的近倒塌性能

• 批准号: 1135005
• 负责人: Mehrdad Sasani
• 金额: $ 54万
• 依托单位: Northeastern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1135005&HistoricalAwards=false
• 关键词: NEESR; Near; Collapse; Performance; Existing

Column shear-axial failure in existing vulnerable reinforced concrete (RC) frame buildings constructed before the mid 1970's is a major seismic risk. The challenges associated with spatial response and system load redistribution capability at the onset of collapse has not been resolved yet. The acceptance criteria in current seismic rehabilitation provisions are defined at the element level with no due consideration for the system robustness. Four sets of three-dimensional, geographically distributed hybrid simulations (HS) will be conducted using the George E. Brown, Jr. Network for Earthquake Engineering Simulation (NEES) facility at the University of Illinois at Urbana-Champaign to obtain the response up to collapse of a representative three-dimensional structural system subjected to one-directional and tri-axial seismic ground motions. This research will investigate, characterize, model, and derive practical procedures for the consequences of column shear-axial failure on the collapse of existing vulnerable RC structures. The project will develop system-level acceptance criteria and analytical tools for near collapse seismic performance of existing non-ductile RC frame structures. Data from this project will be archived and made available to the public through the NEES Project Warehouse/data repository at http://www.nees.org. This project is a collaborative effort between researchers from Northeastern University and Western Michigan University.This project utilizes the unique HS capability provided by the NEES facility to simulate near collapse response of existing vulnerable RC buildings through the integration of large scale physical experiments and numerical models. If successful, this research project will shift the philosophy of structural assessment of vulnerable buildings from component-level to system-level evaluation. The application of system-level evaluation methods developed in this project can lead to more efficient and cost-effective rehabilitation methods for existing non-ductile RC buildings against collapse by identifying and prioritizing buildings susceptible to partial/total collapse. Thus, optimal use of limited resources can be made. A multi-level education and outreach program will provide students from K-12, college, and underrepresented groups, as well as high school physics teachers, with the opportunity to participate in project activities. This will include development of three teaching modules suitable for elementary, middle, and high school students covering the basics of earthquake engineering and topics relevant to collapse analysis. This award is part of the National Earthquake Hazards Reduction Program (NEHRP).

柱剪切-轴向破坏在现有脆弱的钢筋混凝土（RC）框架建筑物建于20世纪70年代中期之前是一个主要的地震风险。与空间响应和系统负荷重新分配能力在倒塌开始的挑战尚未得到解决。目前抗震修复规定中的验收标准是在元件级定义的，没有适当考虑系统的鲁棒性。 四套三维，地理分布的混合模拟（HS）将使用乔治E。小布朗伊利诺伊大学厄巴纳-香槟分校地震工程模拟网络（NEES）设施，以获得一个代表性的三维结构系统受到单向和三轴地震地面运动的倒塌响应。这项研究将调查，表征，建模，并得出实际的程序柱剪切轴向故障的后果，对现有脆弱的钢筋混凝土结构的崩溃。该项目将为现有非韧性钢筋混凝土框架结构的近倒塌抗震性能开发系统级验收标准和分析工具。 该项目的数据将通过NEES项目仓库/数据库（http://www.nees.org）存档并向公众提供。该项目是东北大学和西密歇根大学研究人员的合作成果。该项目利用NEES设施提供的独特HS功能，通过大规模物理实验和数值模型的集成来模拟现有脆弱RC建筑物的近倒塌反应。如果成功，该研究项目将把脆弱建筑物的结构评估理念从组件级转移到系统级评估。在本项目中开发的系统级评估方法的应用，可以导致更有效的和具有成本效益的恢复方法，现有的非韧性钢筋混凝土建筑物对倒塌的识别和优先考虑的建筑物容易部分/全部倒塌。因此，可以最佳地利用有限的资源。一个多层次的教育和推广计划将为K-12，大学和代表性不足的群体的学生，以及高中物理教师提供参加项目活动的机会。这将包括适合小学，初中和高中学生的三个教学模块的开发，涵盖地震工程的基础知识和有关倒塌分析的主题。该奖项是国家减少地震灾害计划（NEHRP）的一部分。