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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
NOSS:用于混凝土基础设施长期性能评估的集成功率感知传感器模拟网络系统
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

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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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Parallel Nonlinear Preconditioning Algorithms and Applications in Biomechanics
  • 批准号:
    1720366
  • 项目类别:
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  • 资助金额:
    $24.0万
  • 财政年份:
    2017
  • 负责人:
    Xiao-Chuan Cai
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AF: Small: Fully Implicit Methods for Partial Differential Equations and Software for Hybrid Architecture
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    1216314
  • 项目类别:
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  • 资助金额:
    $40.0万
  • 财政年份:
    2012
  • 负责人:
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  • 依托单位:
Nonlinear Preconditioning Techniques for Coupled Multi-physics Problems on Massively Parallel Computers
  • 批准号:
    0913089
  • 项目类别:
    Standard Grant
  • 资助金额:
    $26.4万
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    2009
  • 负责人:
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Nonlinear Domain Decomposition Methods and Software for Multicomponent Problems
  • 批准号:
    0634894
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.0万
  • 财政年份:
    2006
  • 负责人:
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  • 依托单位:
国内基金
海外基金
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  • 批准号:
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  • 项目类别:
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  • 资助金额:
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