SGER: Intelligent FRP Retrofits for Critical Structures

SGER：关键结构的智能 FRP 改造

• 批准号: 0540853
• 负责人: Kara Peters
• 金额: $ 9.07万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-08-15 至 2007-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0540853&HistoricalAwards=false
• 关键词: SGER; Intelligent; FRP; Retrofits; Critical

Abstract for: SGER: Intelligent FRP Retrofits for Critical Structures, CMS 0540853PI: Kara Peters, NC StateDue to their high strength, resistance to corrosion, lightweight, and easy handling, fiber reinforced polymer (FRP) composite rebars, sheets, and strips have been used extensively to repair the current civil infrastructure. Based on the importance of FRP reinforcement and repair to the civil infrastructure, there is a serious need for self-monitoring capability of the FRP repair, including monitoring of bonding of the FRP to the concrete structure, opening of cracks near the edge of the FRP sheet, stress / strain levels in the FRP during the lifetime of the repair, and long term data on the performance of the repair system. The proposed project combines novel, high strain sensors based on polymer optical fibers, with local, controlled actuation of regions to be monitored through shape memory alloy pre-preg tapes, and advanced, efficient strain transfer models. The result is an intelligent FRP repair for concrete structures that is relatively easy to apply through the use of pre-preg tapes, yet can monitor the condition of the FRP repair and its effectiveness throughout the lifetime of the repair.RESEARCH METHODSThe objectives of this research will be achieved through the development of a strain transfer model for the multi-layer intelligent FRP repair system that is computationally efficient, yet powerful enough to model the complicated strain transfer near locations of damage and the elasto-plastic material behavior of the polymer optical fiber. Verifications of the model and characterization of the sensor performance will be done through laboratory testing of a concrete beam reinforced with the proposed FRP intelligent repair system.BROADER IMPACTThe development of the proposed intelligent FRP repair system for concrete structures will increase the safety and reliability of large structures in the public domain through monitoring of the repair / concrete bond and the condition of any FRP repairs to the existing concrete structure during the lifetime of the repair. In addition, the system would allow engineers to collect long-term data on the performance and efficiency of such repairs for the future design of repairs.Concurrent with the research plan, an educational plan is proposed, incorporating a laboratorymodule for teaching at several levels: undergraduate teaching laboratories, a graduate special topic course in structural health monitoring, and outreach for high-school students throughexisting NCSU summer programs. monitoring systems currently in use in the field. Finally, theextension of a graduate special topics course to include industry motivated design projects incollaboration with the NSF Industry/University Cooperative Research Center: Repair of Buildings and Bridges with Composites will also be performed.

摘要：SGER：关键结构的智能玻璃钢改造，CMS 0540853 PI：卡拉彼得斯，北卡罗来纳州由于其高强度，耐腐蚀，重量轻，易于处理，纤维增强聚合物（FRP）复合钢筋，片材和带材已被广泛用于修复当前的民用基础设施。基于FRP加固和修复对民用基础设施的重要性，迫切需要FRP修复的自我监测能力，包括监测FRP与混凝土结构的粘结、FRP片材边缘附近的裂缝张开、FRP在修复寿命期间的应力/应变水平以及修复系统性能的长期数据。该项目将基于聚合物光纤的新型高应变传感器与通过形状记忆合金预浸带进行监测的区域的局部受控驱动以及先进高效的应变传递模型相结合。其结果是一个智能玻璃钢修复混凝土结构，是相对容易通过使用预浸带，但可以监测的条件下的玻璃钢修复和其有效性的整个生命周期的repair.RESEARCH METHODS本研究的目标将实现通过发展的应变传递模型的多层智能玻璃钢修复系统，是计算效率，还足够强大以模拟损坏位置附近的复杂应变传递和聚合物光纤的弹塑性材料行为。模型的验证和传感器性能的表征将通过实验室测试与建议的FRP智能修复系统加固混凝土梁进行。更广泛的影响建议的智能FRP修复系统的发展将增加安全性和可靠性的混凝土结构在公共领域通过监测的修复/混凝土粘结以及在维修寿命期间对现有混凝土结构进行任何FRP维修的情况。此外，该系统将允许工程师收集长期数据的性能和效率，这种维修的未来设计的维修。与研究计划的同时，提出了一个教育计划，将实验室模块的教学在几个层次：本科教学实验室，研究生的结构健康监测专题课程，并通过现有的NCSU暑期课程的高中学生的推广。目前该领域使用的监测系统。最后，研究生专题课程的扩展，包括与NSF工业/大学合作研究中心合作的行业动机的设计项目：用复合材料修复建筑物和桥梁。