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.

该项目将支持美国年轻研究人员和学生参加将于 2010 年 7 月 11 日至 12 日在日本东京举行的仿生方法和大规模结构监测国际研讨会。 大型民用基础设施系统的监测例如桥梁、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。 现在已知生物系统采用高度复杂的传感器和数据处理来几乎毫不费力地维持其运行，因此可以从这些系统中学到很多东西来管理和监控大型土木结构。研讨会的重点是确定可以为大型民用基础设施系统开发仿生监测系统的高优先级新兴研究主题。 它还将确定研究人员可以利用不同国家资源进行的合作研究主题和机制。 该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。该计划包括年轻研究人员和研究生的大力参与。