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ITR/AP: A Live-Data Simulation with Application to Bridge Performance

ITR/AP: A Live-Data Simulation with Application to Bridge Performance
ITR/AP:实时数据模拟及其应用以桥接性能
批准号:
0112930
负责人:
Xiao-Chuan Cai
金额:
$45.13万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2001
资助国家:
美国
项目状态:
已结题
起止时间:
2001-09-01 至 2005-08-31

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中文摘要
翻译
该项目将利用先进的并行计算机、数学模型和实时数据开发新一代数值模拟系统。现代传感器技术和互联网使密切监测公路桥梁等结构的性能成为可能。然而,嵌入式传感器的可能数量往往是有限制的,因此准确预测整体结构性能需要其他技术,如计算机建模,同时。该项目将这两种技术融合在一起,创建一个将实时数据纳入数值模拟的计算机建模系统。将测量数据作为数值模拟的一个组成部分是一个具有挑战性的研究项目。由于传感器收集的数据必须不断地转移到数值模拟中,传统的在计算开始时读取控制参数的范例是不可能的。取而代之的是,该项目将使用阿贡国家实验室的Alice内存窥探器,以允许测量数据传输引入的持续中断。这反过来将允许并行计算机与远程站点交换信息,而无需通过缓慢的磁盘I/O。为了将传感器数据与计算完全集成,该项目将基于经典的多重网格方法开发新的数值方案,但使用测量数据来构建粗略空间。新的模拟系统将用于高周疲劳试验,该试验将在科罗拉多大学博尔德分校结构实验室进行。现场测试也将在将建造的安装了各种传感器的新桥梁上进行。这些测试是其他机构赞助的正在进行的项目的一部分。这些项目的协同作用将有助于开发和验证拟议的模拟系统。
英文摘要
This project will develop a new generation of numerical simulation systems using advanced parallel computers, mathematical models, and real-time data. Modern sensor technology and the Internet have made it possible to monitor closely the performance of structures such as highway bridges. However, there are often limits on the possible number of embedded sensors, and accurate prediction the overall structural performance therefore requires other technologies, such as computer modeling, at the same time. This project will merge the two technologies, creating a computer modeling system that incorporates the live data in the numerical simulation.Using measured data as an integrated part of a numerical simulation is a challenging research project. Because data collected by the sensors must be moved continuously into the numerical simulation, the traditional paradigm of reading control parameters at the start of the computation is not possible. Instead, this project will use the ALICE memory snooper from Argonne National Laboratory to allow the constant interruption introduced by the transmission of the measured data. This will in turn allow a parallel computer to exchange information with remote sites without going through slow disk I/O. To fully integrate the sensor data with the computation, the project will develop new numerical schemes based on classical multigrid methods, but using the measured data to build the coarse space. The measured data will also be used as a basis for calibrating and validating the parameters in the mathematical model.The new simulation system will be used in a high cycle fatigue test of bridge decks, which will be conducted in the Structures Laboratory at the University of Colorado at Boulder. Field tests will also be scheduled on new bridges to be constructed with a variety of installed sensors. These tests are part of ongoing projects sponsored by other agencies. The synergy of these projects will help develop and validate the proposed simulation system.
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