SGER: NEESR Payload - Large-Scale Validation of Innovative SMA Recentering Devices for Multi-Span Bridges

SGER：NEESR 有效负载 - 用于多跨桥梁的创新 SMA 定心装置的大规模验证

• 批准号: 0526889
• 负责人: Reginald DesRoches
• 金额: --
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-07-15 至 2006-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0526889&HistoricalAwards=false
• 关键词: SGER; NEESR; Payload; Large; Scale

0526889AbstractThis Small Grant for Exploratory Research (SGER) project is a NEESR payload project submitted in accordance with program solicitation NSF 05-527, NEES Research (NEESR). This project will use the experimental test set-up of NSF NEESR award CMS-0420347 entitled "NEESR-SG: Seismic Performance of Bridge Systems with Conventional and Innovative Materials." Results from this payload project will be archived in the NEES data repository maintained by NEES Consortium, Inc. (www.nees.org). Intellectual merit: Shape memory alloys are a class of unique alloys that have the ability to undergo large displacements and revert back to their original undeformed configuration via a martensitic transformation. Previous work by the Principal Investigator has focused on the optimization of the properties of the alloys such that they can be used in seismic applications. This has led to the development of ideal properties for both wire and large bars and the development and testing of component dampers and recentering devices. These studies were the first to show idealized flag-shaped superelastic properties in both large bars and wire. This NEESR payload project will use the multi-span bridge test set-up at the University of Nevada, Reno (UNR), NEES equipment site under NSF NEESR award CMS-0420347 to design, develop, and test innovative SMA devices on the bridge structure to validate the results of previous component testing and analytical studies. Three sets of devices will be tested: bundled SMA wire, optimized SMA bars, and SMA-based composites. The experimental tests will be coupled with analytical studies using OpenSees to determine the optimal properties of the devices to limit superstructure displacement and demands on columns and relative displacement at the abutment. Additional analytical studies will include the development of detailed models for SMAs. Several types of SMA elements will be developed and provided in the OpenSees element library. The results of the analytical models of the bridge will be used to develop bridge fragility curves to illustrate the viability of these innovative retrofit measures in a probabilistic framework and allow for comparison of the reduction in vulnerability of the bridge system with SMA recentering devices with other traditional retrofit measures. Using an instructional shake table located at Georgia Tech, a small-scale model of the test set-up will first be developed to evaluate concepts that will then be applied on the UNR bridge structure. Small SMA wires (0.08" diameter) will be used for the small-scale experiment.Broader Impacts: The project will leverage resources from an existing AGEP program at Georgia Tech to target and fund underrepresented undergraduate students to participate in all aspects of the research program, including the small-scale study, large-scale study, and analysis. The broader impact of the research is that the use of the promising, new SMA technology will be validated, which would significantly improve the performance of bridges during earthquakes, resulting in the potential reduction in casualties and economic losses from earthquakes. Furthermore, the knowledge gained by this project will provide the foundation for the use of smart materials in other structural systems.

0526889摘要探索性研究（SGER）项目的小额赠款是根据NSF 05-527，NEES研究（NEESR）计划征集提交的NEESR有效载荷项目。 该项目将使用NSF NEESR奖CMS-0420347的实验测试装置，标题为“NEESR-SG：传统和创新材料桥梁系统的抗震性能”。“该有效载荷项目的结果将存档在NEES联盟公司维护的NEES数据库中。（www.nees.org）中找到。智力优点：形状记忆合金是一类独特的合金，其具有经历大位移并通过马氏体转变恢复到其原始未变形构型的能力。 首席研究员以前的工作集中在优化合金的性能，使它们可以用于地震应用。这导致了线材和大型棒材的理想性能的开发，以及组件阻尼器和重定心装置的开发和测试。这些研究是第一次在大型棒材和线材中显示理想化的旗形超弹性特性。该NEESR有效载荷项目将使用位于内华达州里诺大学（UNR）NEES设备场地的多跨桥梁测试装置，根据NSF NEESR奖项CMS-0420347设计、开发和测试桥梁结构上的创新SMA装置，以验证先前组件测试和分析研究的结果。 将测试三组器件：成束SMA丝、优化SMA棒和SMA基复合材料。实验测试将与使用OpenSees的分析研究相结合，以确定装置的最佳性能，以限制上部结构位移和对柱的要求以及桥台的相对位移。 其他分析研究将包括为SMA开发详细的模型。 OpenSees元件库中将开发并提供几种类型的SMA元件。 桥梁的分析模型的结果将用于开发桥梁脆弱性曲线，以说明这些创新的改造措施在概率框架中的可行性，并允许与其他传统的改造措施相比，减少桥梁系统的脆弱性与SMA重定心装置。利用位于格鲁吉亚理工学院的教学振动台，首先开发试验装置的小比例模型，以评估将应用于UNR桥梁结构的概念。 更广泛的影响：该项目将利用格鲁吉亚理工学院现有AGEP项目的资源，以目标和资助代表性不足的本科生参与研究计划的各个方面，包括小规模研究，大规模研究和分析。 该研究的更广泛影响是，将验证有前途的新型SMA技术的使用，这将显着提高地震期间桥梁的性能，从而可能减少地震造成的人员伤亡和经济损失。此外，该项目所获得的知识将为智能材料在其他结构系统中的使用提供基础。