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PFI-TT: Carbon Nanotube-Based Distributed Sensors for Structural Health Monitoring of Transportation and Oil/Gas Infrastructure

PFI-TT：基于碳纳米管的分布式传感器，用于运输和石油/天然气基础设施的结构健康监测

基本信息

批准号：
1827729
负责人：
Erik Thostenson
金额：
$ 20万
依托单位：
University of Delaware
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-08-15 至 2022-02-28
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1827729&HistoricalAwards=false
关键词：
PFI TT Carbon Nanotube Based

项目摘要

The broader impact/commercial potential of this PFI project is to develop and commercialize a scalable and customizable sensing approach for structural health monitoring (SHM) of critical structures, such as bridges and pipelines, to maintain their safety and reliability. The distributed carbon nanotube-based sensor can be attached to structural members to monitor deformations and cracks. Because the sensor is continuous, the deformations and cracks can be measured on all the surfaces where the sensor is applied and ultimately trigger an alarm if the sensor response exceeds a certain critical level. Knowledge gained in this project will increase the sustainability and robustness of critical infrastructure to benefit society and the environment. Long-term impacts will result in cost-effective monitoring protocols, extended life of structures, and reduced overall lifecycle costs. Ultimately, the economic competitiveness of United States is strengthened based on robust, resilient, and durable civil infrastructure. This project has promising commercial potentials in the approximate $630-million target market of SHM in North America for monitoring civil structures, including bridges and pipelines. The participation of students in research and entrepreneurship/innovation will build the pipeline of students entering the workforce to translate discoveries to new commercial products which will increase US global competitiveness.The proposed project will establish the scalability and applicability for the use of distributed carbon nanotube-based composite sensors for in situ and real-time quantitative SHM. The use of SHM to monitor critical infrastructure is increasingly important, and structural failures can cause loss of human life as well as damage to the local economy. Through the use of carbon nanotube-based distributed sensors it will be possible to overcome the limitations of conventional sensors, which are based on a network of point or quasi-point sensors mounted on a structure that may miss the localized formation of damage. The distributed sensor offers tremendous flexibility in different applications by allowing the sensor to conform to a variety of complex surfaces, and new analysis techniques will be developed to rapidly interpret the data from the sensors - especially for structures with complex geometries ? utilizing direct current electrical measurements and impedance tomography. Key research objectives include the development of new data analysis techniques to rapidly localize damage, validation of the sensor for complex geometries and environmental exposure, and development of a prototype for field testing in real-world conditions.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这个PFI项目的更广泛的影响/商业潜力是开发和商业化一种可扩展和可定制的传感方法，用于桥梁和管道等关键结构的结构健康监测(SHM)，以保持其安全性和可靠性。这种基于碳纳米管的分布式传感器可以安装在结构构件上，以监测变形和裂缝。由于传感器是连续的，因此可以在应用传感器的所有表面上测量变形和裂缝，并最终在传感器响应超过特定临界水平时触发警报。从该项目中获得的知识将提高关键基础设施的可持续性和稳健性，以造福社会和环境。长期的影响将导致具有成本效益的监测协议，延长结构的寿命，并降低总体生命周期成本。最终，美国的经济竞争力将在强大、有弹性和耐用的民用基础设施的基础上得到加强。该项目在北美约6.3亿美元的SHM目标市场具有广阔的商业潜力，用于监测包括桥梁和管道在内的民用结构。学生参与研究和创业/创新将建立学生进入劳动力市场的管道，将发现转化为新的商业产品，从而提高美国的全球竞争力。拟议的项目将为使用分布式碳纳米管复合传感器进行原位和实时定量SHM建立可伸缩性和适用性。使用SHM监测关键基础设施变得越来越重要，结构故障可能导致人员伤亡和对当地经济的破坏。通过使用基于碳纳米管的分布式传感器，将有可能克服传统传感器的局限性，传统传感器是基于安装在可能错过局部损伤形成的结构上的点或准点传感器网络。分布式传感器通过允许传感器符合各种复杂的表面，在不同的应用中提供了巨大的灵活性，新的分析技术将被开发来快速解释来自传感器的数据--特别是对于具有复杂几何形状的结构？利用直流电测量和阻抗层析成像。主要研究目标包括开发新的数据分析技术以快速定位损伤，验证传感器对复杂几何形状和环境暴露的有效性，以及开发用于在真实世界条件下进行现场测试的原型。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。