Advancing the Elastic Wave Characterization of Critical Buried Concrete Pipelines

这笔资金将支持创造与地下混凝土管道调查相关的新知识的研究，这将促进科学，促进国家繁荣和福利。混凝土管道是我们基础设施的组成部分。埋在主要城市地下的大口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。该项目将演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在地下的混凝土管道和衬里的未知弹性特性。该技术测量管道的动态响应，通过将响应与理论预测进行匹配来计算未知参数。准确测量现场物业的能力将提供机会，改善这些公用事业公司的剩余寿命预测，加强其资产管理做法，并降低总体维护成本。这一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。多通道面波分析技术是一种广泛应用于地球物理的逆参数估计技术，用于研究层状半空间和板状弹性介质。在本项目中，将利用纵波和环波对埋地混凝土管道进行这项技术的研究。它在空间受限管段中的实施带来了几个挑战。例如，收集密集的波形记录是创建高分辨率弥散图像所必需的，这是一项具有挑战性的任务。为了解决这一问题，将研究稀疏传感技术在这一管道应用方面的最新进展。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开发分析解决方案，为混凝土管道优化的传感器阵列设计，以及能够有效表征混凝土管道的新信号处理算法。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势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.