SGER: Intelligent FRP Retrofits for Critical Structures

用于：SGER：用于关键结构的智能FRP加固，CMS 0540853PI：Kara Peters，NC Status由于其高强度、耐腐蚀、轻质和易于操作，纤维增强聚合物(FRP)复合材料钢筋、片材和带材已被广泛用于修复现有的民用基础设施。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情况、FRP板材边缘附近的裂缝张开情况、FRP在修复期间的应力/应变水平，以及修复系统性能的长期数据。拟议的项目结合了基于聚合物光纤的新型高应变传感器、通过形状记忆合金预浸带对要监测的区域进行局部受控驱动以及先进、高效的应变传递模型。其结果是，通过使用预浸胶带，可以相对容易地应用于混凝土结构的智能FRP修复，但可以在修复的整个生命周期内监测FRP修复的状况和有效性。研究方法通过开发多层智能FRP修复系统的应变传递模型来实现本研究的目标，该模型计算高效，但功能强大，足以模拟损伤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用建议的FRP智能修复系统加固的混凝土梁的实验室测试进行。BROADER IMPACT建议的混凝土结构智能FRP修复系统的开发将通过在修复期间对现有混凝土结构的修复/混凝土粘结和任何FRP修复的状况进行监控，提高公共领域大型结构的安全性和可靠性。此外，该系统将允许工程师为未来的维修设计收集关于此类维修性能和效率的长期数据。与研究计划同时提出的是一项教育计划，其中包括一个实验模块，用于几个层次的教学：本科教学实验室，结构健康监测研究生专题课程，以及通过现有的NCSU暑期项目面向高中生的拓展。目前在外地使用的监测系统。最后，还将扩展研究生专题课程，包括与NSF工业/大学合作研究中心合作的工业设计项目：用复合材料修复建筑物和桥梁。

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.