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: University of Colorado at Boulder
• 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
• 起止时间: 2001-09-01 至 2005-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0112930&HistoricalAwards=false
• 关键词: ITR; AP; Live; Data; Simulation

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.

该项目将开发使用先进的并行计算机、数学模型和实时数据的新一代数值模拟系统。现代传感器技术和互联网使人们有可能密切监测结构的性能，如公路桥梁。然而，嵌入式传感器的可能数量往往受到限制，因此准确预测整体结构性能需要同时使用其他技术，例如计算机建模。本项目将把这两种技术结合起来，创建一个将实时数据与数值模拟相结合的计算机建模系统。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连续地移动到数值模拟中，因此在计算开始时阅读控制参数的传统范例是不可能的。相反，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所引入的持续中断。这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结合起来，该项目将在经典多重网格方法的基础上开发新的数值方案，但使用测量数据来构建粗糙空间。测量数据也将作为校准和验证数学模型中参数的基础。新的模拟系统将用于桥面的高周疲劳试验，该试验将在位于博尔德的科罗拉多大学的结构实验室进行。现场测试也将安排在新的桥梁上进行，这些桥梁将安装各种传感器。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。