NEESR-CR: Full-Scale RC and HPFRC Frame Subassemblages Subjected to Collapse-Consistent Loading Protocols for Enhanced Collapse Simulation and Internal Damage Characterization

NEESR-CR：全尺寸 RC 和 HPFRC 框架子组件经受塌陷一致加载协议，以增强塌陷模拟和内部损伤表征

• 批准号: 1041633
• 负责人: Shih-Ho Chao
• 金额: $ 109.83万
• 依托单位: University of Texas at Arlington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-11-01 至 2015-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1041633&HistoricalAwards=false
• 关键词: NEESR; CR; Full; Scale; RC

This award is an outcome of the NSF 09-524 program solicitation "George E. Brown, Jr. Network for Earthquake Engineering Simulation (NEES) Research (NEESR)" competition and includes the University of Texas at Arlington (lead institution), California State University at Chico (subaward), University of Illinois at Urbana-Champaign (subaward), and the University of Minnesota (subaward). The project will utilize the NEES equipment site at the University of Minnesota, the Multi-Axial Subassemblage Testing (MAST) Laboratory. Reinforced concrete (RC) structures comprise a large number of the buildings and bridges around the world. The collapse resistance of RC structures is not well understood, even though the collapse resistance is fundamental to the life-safety of building occupants during earthquakes. One of the primary problems is that currently available experimental test data are insufficient to allow researchers to comprehensively understand the collapse behavior of a building and develop accurate computer simulation models to predict when a building would collapse in an earthquake. The objective of this research is to advance knowledge about the collapse behavior and safety of both modern RC frame buildings and high performance fiber reinforced concrete (HPFRC) frame buildings when subjected to extreme earthquakes. This research project involves testing a comprehensive set of full-scale RC components and subassemblages all the way to collapse (nearly all currently available test data stop short of collapse); this comprehensive set of tests has been specifically planned for the purpose of better understanding collapse behavior and creating improved computer simulation models to predict the collapse safety of RC buildings. To improve understanding of how internal damage develops at small scales within the materials, advanced imaging technology (ultrasonic tomography) will be utilized during testing to characterize the progression of internal damage. To improve understanding of the collapse behavior of full large-scale RC buildings, improved computer simulation models will be developed and the collapse of RC building models will be directly simulated. Intellectual Merit: The following technical contributions are anticipated: (1) new calibrated RC/HPFRC component models, (2) new understanding of collapse resistance behavior of RC frame buildings constructed with RC and HPFRC materials; (3) development of internal imaging technology that could be used as an on-site structural assessment tool; and (4) understanding of the internal damage development and mechanisms for RC columns and slab-beam-column connections subjected to cyclic loading. Broader Impacts: Results from this study will provide comprehensive information for collapse assessment of newly constructed RC moment frames, as well as moment frames constructed from an emerging high performance material (HPFRC). Such information will be necessary to support widespread use of HPFRC. The development of advanced imaging technology for concrete structures will provide new diagnostic capability to ascertain structural damage within concrete members, for example immediately after an earthquake event. The collapse simulation and imaging techniques developed in this research will be incorporated into educational tools to introduce undergraduate students to earthquake engineering research, the significance of earthquake effects, and the behavior of building structures subjected to collapse-level ground motions. Additionally, undergraduate students at the California State University at Chico will directly participate in the research. The interdisciplinary work plan will promote the development of professionally prepared graduate students who have exposure to a broad range of cross-cutting technologies. Data from this project will be archived and made available to the public through the NEES data repository. This award is part of the National Earthquake Hazards Reduction Program (NEHRP).

该奖项是NSF 09-524计划征集的结果，“乔治·E·布朗（George E. Brown，Jr。E.该项目将利用明尼苏达大学的NEES设备网站，​​这是多轴尺寸测试（MAST）实验室。钢筋混凝土（RC）结构包括世界各地的大量建筑物和桥梁。 即使抗崩溃的抵抗力是地震期间建筑物居民的生命安全，RC结构的抗崩溃抗性尚未得到充分的理解。主要问题之一是，当前可用的实验测试数据不足以使研究人员能够全面了解建筑物的崩溃行为并开发准确的计算机模拟模型，以预测建筑物何时会在地震中崩溃。 这项研究的目的是提高有关现代RC框架建筑物和高性能纤维增强混凝土（HPFRC）框架建筑物的崩溃行为和安全性的知识。该研究项目涉及测试一组全面的RC组件，并将子组合一直崩溃（几乎所有当前可用的测试数据都停止了崩溃）；专门计划了这组全面的测试集，目的是更好地了解崩溃行为并创建改进的计算机仿真模型，以预测RC建筑物的倒塌安全性。为了提高对材料内部损害如何在材料中如何发展的理解，在测试过程中将利用先进的成像技术（超声层析成像）来表征内部损害的进展。为了提高对完整大型RC建筑物的崩溃行为的了解，将开发改进的计算机模拟模型，并将直接模拟RC建筑模型的崩溃。 智力优点：预计以下技术贡献：（1）新的校准RC/HPFRC组件模型，（2）对使用RC和HPFRC材料构建的RC框架建筑物的崩溃抗性行为的新了解； （3）开发可以用作现场结构评估工具的内部成像技术； （4）理解内部损伤的发展和RC柱的机制和经受循环载荷的平板梁柱连接的理解。更广泛的影响：这项研究的结果将提供全面的信息，以评估新建的RC矩框架以及由新兴的高性能材料（HPFRC）构建的矩框架。这些信息对于支持HPFRC的广泛使用将是必要的。用于混凝土结构的先进成像技术的开发将提供新的诊断能力，以确定混凝土成员内的结构损害，例如地震事件发生后立即。这项研究中开发的崩溃模拟和成像技术将被纳入教育工具中，以将本科生介绍到地震工程研究，地震效应的重要性以及受到崩溃级地面运动的建筑结构的行为。 此外，加利福尼亚州立大学奇科的本科生将直接参加研究。跨学科的工作计划将促进具有广泛跨裁判技术的专业准备的研究生的发展。该项目的数据将通过NEES数据存储库进行存档并提供给公众。 该奖项是国家地震危害计划（NEHRP）的一部分。