NOSS: An Integrated Power Aware Sensor-Simulation Network System for Long-Term Performance Assessment of Concrete Infrastructures
NOSS: An Integrated Power Aware Sensor-Simulation Network System for Long-Term Performance Assessment of Concrete Infrastructures
批准号:
0722023
负责人:
Xiao-Chuan Cai
金额:
$60.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-09-01 至 2012-08-31
中文摘要
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英文摘要
The performance of civil infrastructures plays an important role in maintaining thequality of life of the U.S. citizens as well as in the nation's defense systems. The project attacks severalcritical issues involved in the new generation of smart civil infrastructure system with built-in sensornetwork. Performance assessment of civil infrastructure is usually a long-term task (i.e. several years) thepower supply for the sensor network becomes a problem, especially for the embedded sensors instructures. The first focus is to provide a reliable energy harvesting method for the sensors and a powermanagement plan for the sensor network. For long-term performance assessment, processing the largeamount of data obtained from the sensor network is a difficult and important task, the second focus is howto configure the sensor network and assemble the measured data in a more meaningful way in order to usethe available information to predict future structural performance. To this end, this project is to developan integrated Power Aware Sensor-Simulation Network system for long-term performanceassessment of concrete infrastructures. The system consists of three subsystemsincluding an energy harvesting and power management system for the sensors, a combined sensor-basednumerical simulation system, and a massively parallel computing system for the numerical calculations.Built-in sensors have found their applications not only in civil, and aerospace structures, butalso in mechanical engineering and medical devices such as artificial hearts. Therefore, theresearch will have a great impact in many areas of science and technologies.
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