Advancing the Elastic Wave Characterization of Critical Buried Concrete Pipelines

这笔资金将支持与地埋混凝土管道调查有关的新知识的研究，促进科学发展，促进国家繁荣和福祉。混凝土管道是我们基础设施的一个组成部分。埋在主要城市地下的大直径管道是地下空间的关键动脉，它们的故障有可能造成重大破坏。该项目将展示并推进一种基于弹性波的技术，以准确量化用于修复的埋地混凝土管道和衬垫的未知弹性特性。该方法通过测量管道的动态响应，并将响应与理论预测相匹配，计算未知参数。准确测量原位特性的能力将为改善这些设施的剩余寿命预测、增强其资产管理实践和降低总体维护成本提供机会。这个研究项目提供了创造知识产权、提高美国竞争力和拓宽土木工程本科教育的机会。多通道表面波分析技术是一种反参数估计技术，在地球物理中广泛应用于研究层状半空间和板状弹性介质。在本项目中，将使用纵波和周向波对埋地混凝土管道进行研究。在空间受限的管段中实施它会带来一些挑战。例如，收集密集波形记录对于创建高分辨率色散图像至关重要，这是一项具有挑战性的任务。为了克服这一问题，本文将研究稀疏感知技术的最新进展。该项目的科学贡献包括为进行波形反演所需的选择性波传播问题提供解析解决方案，设计针对混凝土管道优化的传感器阵列，以及新的信号处理算法，以实现混凝土管道的有效表征。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This funding will support research that creates new knowledge related to the investigation of buried concrete pipes, which promotes science and advances the national prosperity and welfare. Concrete pipes constitute an integral part of our infrastructure. The large diameter pipes buried under major urban areas act as critical arteries of the underground space, and their failure has the potential to create major disruptions. This project will demonstrate and advance an elastic wave-based technique to accurately quantify the unknown elastic properties of buried concrete pipes and liners used for their rehabilitation. In this technique the dynamic response of a pipe is measured, and the unknown parameters are calculated by matching the response against the theoretical predictions. The ability to measure the in-situ properties accurately will provide the opportunity to improve the remaining life prediction of these utilities, enhance their asset management practices and reduce the overall cost of maintenance. This research project provides opportunity to generate intellectual property, increase U.S. competitiveness, and broaden the undergraduate civil engineering education.The multichannel surface wave analysis technique is an inverse parameter estimation technique that is widely used in geophysics for investigating the layered half-space and plate like elastic mediums. During this project, this technique will be investigated for buried concrete pipes using longitudinal and circumferential waves. Its implementation in a space restricted pipe segment introduces several challenges. For example, gathering a dense waveform record, which is essential for creating a high-resolution dispersion image, is a challenging task. To overcome this problem, the recent advances in sparse sensing techniques will be investigated for this pipe application. The scientific contributions of this project include the development of analytical solutions for selective wave propagation problems necessary for conducting the waveform inversion, design of sensor array optimized for concrete pipes, and new signal processing algorithms to enable the effective characterization of concrete pipes.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.