Bio-Inspired Sensing using Optoelectronic Nanocomposites (BISON)

使用光电纳米复合材料的仿生传感 (BISON)

• 批准号: 1031754
• 负责人: Kenneth Loh
• 金额: $ 19.79万
• 依托单位: University of California-Davis
• 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: 2010-10-01 至 2014-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1031754&HistoricalAwards=false
• 关键词: Bio; Inspired; Sensing; using; Optoelectronic

This objective of this research is to employ a revolutionary sensor design paradigm inspired by the natural photosynthesis process of plants/algae. The Bio-Inspired Sensing using Optoelectronic Nanocomposites (BISON) sensing platform utilizes specific wavelengths of light or photonic energy to generate photocurrent directly correlated to structural strain for structural monitoring applications. Phase I of this project focuses on nanocomposite fabrication and laboratory-based sensing performance characterization. Instead of using them as point sensors, Phase II of this research integrates the BISON coatings with an inverse spatial mapping algorithm for achieving a truly distributed sensor capable of directly measuring 2D structural strain fields. Upon experimental validation of the sensor's capabilities to detect and monitor non-uniform strain fields, cracks, and impact damage, Phase III focuses on large-scale structural testing and field validation.The research outcomes will have potential for advancing the technological state-of-art and scientific knowledge in areas such as nanocomposites, optoelectronics, sensors, inverse algorithms, and structural health monitoring. The BISON sensing system can also enhance civil infrastructure safety and advance condition-based health monitoring techniques. A detailed education and outreach plan is also included to broaden the participation of under-represented students, while the outcomes of this research will be incorporated in current and new undergrad/grad engineering courses.

这项研究的目的是采用一种革命性的传感器设计范式，其灵感来自植物/藻类的自然光合作用过程。使用光电纳米复合材料（野牛）传感平台的生物启发传感利用特定波长的光或光子能产生与结构应变直接相关的光电流，用于结构监测应用。该项目的第一阶段侧重于纳米复合材料的制造和基于实验室的传感性能表征。本研究的第二阶段将野牛涂层与逆空间映射算法相结合，而不是将其用作点传感器，以实现能够直接测量2D结构应变场的真正分布式传感器。在对传感器检测和监测非均匀应变场、裂纹和冲击损伤的能力进行实验验证后，第三阶段将重点放在大规模结构测试和现场验证上，研究成果将有可能推动纳米复合材料、光电子学、传感器、逆算法和结构健康监测等领域的技术和科学知识的发展。野牛传感系统还可以提高民用基础设施的安全性，并推进基于条件的健康监测技术。还包括一个详细的教育和推广计划，以扩大代表性不足的学生的参与，而这项研究的成果将被纳入当前和新的本科生/格拉德工程课程。