Non-Destructive Evaluation of Critical Bridge Components

关键桥梁部件的无损评估

• 批准号: 9422696
• 负责人: Ted Belytschko
• 金额: $ 10万
• 依托单位: Northwestern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-09-15 至 1997-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9422696&HistoricalAwards=false
• 关键词: Non; Destructive; Evaluation; Critical; Bridge

9422696 Belyschko Health monitoring and assessment of steel bridges and other steel facilities offers tremendous potential benefits if used to asses the safety and reliability and to extend the remaining useful life by timely repairs. This project involves the development of high performance computing tools for identifying flaws in critical bridge components form the output of nondestructive evaluation (NDE) sensing devices and assessing the impact of these flaws on the useful life of the component. High performance computing tools will be developed to provide a characterization of flaws from the output of NDE sensors and asses the reliability of the component. The proposed research addresses this objective in an integrated approach which will involve the following tasks: 1. adapting ultrasonic QNDE methods to in situ health monitoring of bridges; 2. the solution of the inverse problem of identifying and characterizing the crack, which will be accomplished with the aid of neural networks; 3. development of high fidelity forward solutions of the wave equation for detailed models with one or more cracks, which are needed for the identification process; because of the large size of these problems, parallel computations will be used; 4. estimating the reliability of a component in terms of the crack which is identified. Testing of the overall model will take place on test prototypes and on actual bridges. Working groups form various states and several interested companies will be set up to facilitate dissemination of the research results to practice.

9422696对钢桥和其他钢设施进行健康监测和评估，如果用于评估安全性和可靠性，并通过及时维修延长剩余使用寿命，将带来巨大的潜在好处。该项目涉及开发高性能计算工具，用于从无损评估(NDE)传感设备的输出中识别关键桥梁部件中的缺陷，并评估这些缺陷对部件使用寿命的影响。将开发高性能计算工具，以根据无损探头传感器的输出提供缺陷的表征，并评估部件的可靠性。提出的研究将以一种综合的方法来解决这一目标，该方法将涉及以下任务：1.将超声QNDE方法应用于桥梁的现场健康监测；2.利用神经网络来解决识别和表征裂纹的反问题；3.为识别过程中需要的具有一个或多个裂纹的详细模型开发高保真的波动方程正解；由于这些问题的规模很大，将使用并行计算；4.根据识别出的裂纹来估计部件的可靠性。整个模型的测试将在测试原型和实际桥梁上进行。来自不同州的工作组和几个感兴趣的公司将成立，以促进将研究成果传播到实践中。