Higher Harmonic Ultrasonic Guided Waves for Structural Integrity Assessment of Infrastructure

用于基础设施结构完整性评估的高次谐波超声导波

基本信息

批准号：
1300562
负责人：
Cliff Lissenden
金额：
$ 31.2万
依托单位：
Pennsylvania State Univ University Park
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2013
资助国家：
美国
起止时间：
2013-06-01 至 2017-05-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1300562&HistoricalAwards=false
关键词：
Higher Harmonic Ultrasonic Guided Waves

项目摘要

This research will relate the generation of higher harmonic ultrasonic guided wave modes to the microstructural evolution that precedes macroscale damage accumulation in many metals. The fundamental mechanics of materials issues to be investigated are how and why microstructural evolution and higher harmonic generation are correlated. Recent analysis of the interaction of ultrasonic guided wave modes provides a framework for understanding the generation of higher harmonics. It is conjectured that higher harmonic generation from two interacting guided wave modes enables in situ characterization of microstructural evolution for reliable structural health monitoring. The research plan has four main components: (1) identify incident modes that generate cumulative higher harmonics, (2) select actuation methods to activate the desired incident modes, (3) investigate the correlation between microstructure evolution and features of the higher harmonic modes, (4)characterize microstructure evolution and the corresponding higher harmonic modes in relation to state-of-the-art structural health monitoring modalities.It is well documented that the infrastructure in the United States is aging, and as that happens the load carrying materials degrade due to intended loads, unexpected forces, as well as the environmental and operating conditions. Due to concerns for public safety and the hundreds of billions of dollars necessary to maintain the infrastructure, it is extremely important to assess the current condition of structures, evaluate the current and expected future integrity of structures, and then plan repairs and replacement. Given the enormity of the infrastructure in this country, the use of autonomous sensory systems and the development of methods to detect and characterize material damage as early as possible are key components for this burgeoning field of structural health monitoring, which will eventually transform the logistics of infrastructure management. The proposed research investigates nonlinear ultrasonics, where sound waves traveling in a structural component generate wave motion that would not occur in a pristine linear material, to characterize changes in the material that precede the formation of a fatigue crack. Fatigue cracks can lead to catastrophic failure in many types of structures; this research applies directly to pressure vessels, piping, and other structural components for power generation, propulsion, and chemical plants.

这项研究将将高谐波超声引导波模式的产生与在许多金属中宏观损伤积累之前的微观结构进化有关。要研究的材料问题的基本机制是如何以及为什么微观结构演化和更高的谐波产生相关。对超声波引导波模式的相互作用的最新分析为理解更高谐波的产生提供了一个框架。据推测，来自两种相互作用的引导波模式的较高的谐波产生可以原位表征微结构演化，以实现可靠的结构健康监测。该研究计划具有四个主要组成部分：（1）确定产生累积较高谐波的事件模式，（2）选择激活所需事件模式的驱动方法，（3）研究微结构演化与较高谐波模式的特征之间的相关性，（4）（4）微结构的较高态度和相应的态度模式对状态及相关的调整，以及相关的状态构建状态。美国的基础设施正在老化，因此，由于预期的负载，意外力以及环境和操作条件，承载材料的负载降低。由于对公共安全的担忧以及维护基础设施所需的数千亿美元，评估结构的当前状况，评估结构的当前和预期的未来完整性，然后计划维修和更换非常重要。鉴于该国基础设施的巨大性，自主感觉系统的使用以及尽早发现和表征材料损害的方法的开发是这种结构性健康监测的新兴领域的关键组成部分，这最终将改变基础设施管理的物流。拟议的研究研究了非线性超声波，其中在结构成分中传播的声波会产生波动，而波动将不会在原始的线性材料中发生，以表征在疲劳裂纹形成之前的材料的变化。疲劳裂纹会导致许多类型的结构中的灾难性失败。这项研究直接适用于用于发电，推进和化学植物的压力容器，管道和其他结构组件。