Science Service System

Summary of Proposal LAN3188

TitleForensic engineering of infrastructures exposed to structurally deficiency, seismicity, and landslides with InSAR for health monitoring
Investigator Kim, Jin-Woo - Southern Methodist University, Roy M. Huffington Department of Earth Sciences
Team Member
Professor Lu, Zhong - Southern Methodist University, Roy M. Huffington Department of Earth Sciences
PhD Student Navneet, Sankarambadi - Southern Methodist University, Roy M. Huffington Department of Earth Sciences
SummaryWe propose to explore archived TerraSAR-X scenes to detect and measure the horizontal and vertical deformation over the linear structures in the western (Washington State) and southern (Texas, Louisiana, Mississippi), and Midwest (Chicago, IL)USA. Quality of human life depends on the structural integrity of the civil infrastructure. The sheer volume of urban infrastructure and geotechnical assets (bridges, levees, dams, embankments) in U.S. makes current inspection techniques requiring engineers to physically survey structures for signs of damage and fatigue, laborious and economically infeasible. Complimenting in-situ measurements with remote sensing tools would considerably impact on the capability of our state and Federal authorities for infrastructure health monitoring. Developing interferometric synthetic aperture radar (InSAR) processing framework for measuring localized deformation using both amplitude and phase information of high resolution urban SAR imagery is necessary for efficient infrastructure monitoring. The presence of large number of linear structures in urban areas make the use of combined persistent, distributed, and temporary scatterer InSAR algorithms particularly suited for monitoring the urban environment. The environment is characterized by multi-path microwave backscattering presenting unique challenges. In this study, we will improve scatterer localization and detection techniques, contributing specifically multi-baseline technique for layover mitigation and non-linear deformation modelling. There is a surfeit of data already available through ALOS-PALSAR, TerraSAR/Tandem-X,and COSMOS-SkyMed missions. However, a critical gap exists between availability of data and the tools required to process urban infrastructure datasets. Using the linear structure oriented InSAR processing framework, measuring time-series deformation for the structurally deficient New Orleans and Dallas dam-levee system along with Vicksburg Bridges (MS), Cook County, Chicago (IL) bridges,and I-5 Skagit River bridge in Washington State. We will apply these measurements for forensic engineering of the structures and generate data products which can be readily incorporated into existing structural health monitoring systems. Our findings will be key in mitigating hazards associated with infrastructure collapse or large displacement.

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