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U.S.-Germany Planning Visit: Structural Health Monitoring Sensors for Offshore Wind Turbines

U.S.-Germany Planning Visit: Structural Health Monitoring Sensors for Offshore Wind Turbines
美德计划访问:海上风力发电机结构健康监测传感器
批准号:
0813764
负责人:
John Sweetman
金额:
$0.28万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-04-01 至 2009-03-31

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英文摘要
OISE-0813764 U.S.-Germany Planning Visit: Structural Health Monitoring Sensors for Offshore Wind TurbinesThis project supports a collaboration between Dr. Jerome Lynch in the Department of Civil and Environmental Engineering at the University of Michigan, Dr. John Sweetman in the Department of Maritime Systems Engineering at Texas A&M at Galveston, and Dr. Raimund Rolfes at the Institute for Structural Analysis at the University of Hannover in Germany. This proposal, and its collaborative mate 0820607, will fund a six day visit to Germany for Dr. Lynch, Dr. Sweetman, and two students from the University of Michigan to develop a research proposal dealing with structural health monitoring technologies to be installed on offshore wind turbines. In addition, the PI?s plan to develop a graduate course dealing with offshore wind energy. The U.S team has expertise in wireless sensors and embedded data processing for damage identification, and the German collaborator provides expertise and access to a new offshore field of wind turbines being deployed in the German Bight. This is a unique opportunity for the U.S. team, because such a field of offshore wind turbines does not currently exist in the U.S. The sensors that will be deployed will harvest a rich set of data that fully captures the complexity of wind-wave-structure interactions inherent to offshore turbines. This data will be useful in optimizing the design of future offshore wind turbines thereby helping the U.S. in its quest for renewable energy sources.
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Floating Offshore Wind Turbines: Conceptual Assessment of Highly Compliant Platforms using Theory, Design and Simulation
CAREER: Irregular Environmental Loading and Response of Offshore Structures
Sensors: Statistical Algorithm Development for Distributed Sensor Networks with Application to Structural Health Monitoring and State Assessment
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