Workshop: International Workshop on Bio-inspired Methods and Large Scale Structural Monitoring; Tokyo, Japan; July 11-12, 2010

研讨会：仿生方法和大规模结构监测国际研讨会；

• 批准号: 1013175
• 负责人: Shirley Dyke
• 金额: $ 3万
• 依托单位: Purdue University
• 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: 2010-06-15 至 2011-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1013175&HistoricalAwards=false
• 关键词: Workshop; International; Bio; inspired; Methods

This project will support the travel of US young researchers and students to participate in the International Workshop on Bio-inspired Methods and Large Scale Structural Monitoring to be held in Tokyo, Japan on July 11-12, 2010. The monitoring of large civil infrastructure systems such as bridges, building, pipelines, etc. requires large sensing network and extensive sensor data processing. The biological systems are now known to employ highly sophisticate sensors and data processing to maintain their operation almost effortlessly and thus much can be learned from these systems to manage and monitor large civil structures. The focus of the workshop is to identify the high priority emerging research topics that can be pursued to develop bio-inspired monitoring systems for large scale civil infrastructure systems. It will also identify the collaborative research topics and mechanism that can be pursued by researchers to leverage the resources of different countries. The workshop will facilitate the exchange of ideas, research data, facilities, and resources among the international researchers to address the pressing research issues of common interest in structural health monitoring. The program includes a strong participation of young researchers and graduate students.

该项目将资助美国年轻研究人员和学生参加2010年7月11日至12日在日本东京举行的生物启发方法和大规模结构监测国际研讨会。监测大型民用基础设施系统，如桥梁、建筑、管道等，需要庞大的传感网络和广泛的传感器数据处理。众所周知，生物系统现在使用高度复杂的传感器和数据处理来维持其运行，几乎毫不费力，因此可以从这些系统中学到很多东西来管理和监测大型土木结构。讲习班的重点是确定可用于开发大规模民用基础设施系统的生物启发监测系统的高度优先的新出现的研究主题。它还将确定研究人员可以开展的合作研究主题和机制，以利用不同国家的资源。研讨会将促进国际研究人员之间的思想、研究数据、设施和资源的交流，以解决结构健康监测方面共同感兴趣的紧迫研究问题。该项目包括年轻研究人员和研究生的大力参与。