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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

项目摘要

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中文摘要
翻译
民用基础设施的性能在维持美国公民的生活质量以及国家的国防系统中起着重要的作用。该项目解决了新一代内置传感器网络的智能民用基础设施系统中涉及的几个关键问题。民用基础设施的性能评估通常是一项长期的任务(即几年),传感器网络的供电成为一个问题,特别是对于嵌入式传感器网络。第一个重点是为传感器提供可靠的能量收集方法和传感器网络的电源管理计划。对于长期性能评估,处理从传感器网络获得的大量数据是一项困难而重要的任务,其次重点是如何配置传感器网络并以更有意义的方式组装测量数据,以便使用可用信息来预测未来的结构性能.为此,本项目将开发一个集成的功率感知传感器-仿真网络系统,用于混凝土基础设施的长期性能评估。该系统由传感器能量采集和电源管理系统、基于传感器的组合数值模拟系统和大规模并行计算系统三个子系统组成,内置传感器不仅在民用、航空航天结构中有广泛的应用,而且在机械工程和人工心脏等医疗设备中也有广泛的应用。因此,该研究将在许多科学技术领域产生重大影响.
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:
    Standard Grant
  • 资助金额:
    $24.0万
  • 财政年份:
    2017
  • 负责人:
    Xiao-Chuan Cai
  • 依托单位:
AF: Small: Fully Implicit Methods for Partial Differential Equations and Software for Hybrid Architecture
  • 批准号:
    1216314
  • 项目类别:
    Standard Grant
  • 资助金额:
    $40.0万
  • 财政年份:
    2012
  • 负责人:
    Xiao-Chuan Cai
  • 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
  • 财政年份:
    2009
  • 负责人:
    Xiao-Chuan Cai
  • 依托单位:
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:
    Xiao-Chuan Cai
  • 依托单位:
国内基金
海外基金
greenwashing behavior in China:Basedon an integrated view of reconfiguration of environmental authority and decoupling logic
  • 批准号:
    --
  • 项目类别:
    外国学者研究基金项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    YU BYUNGJUN
  • 依托单位:
焦虑症小鼠模型整合模式(Integrated) 行为和精细行为评价体系的构建