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Oct 2022: Distributed Damage Characterization Enabled by Tomographic Methods

Thu, Oct 27

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Join us for our monthly meeting presented by Ken Loh!

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Oct 2022: Distributed Damage Characterization Enabled by Tomographic Methods
Oct 2022: Distributed Damage Characterization Enabled by Tomographic Methods

Time & Location

Oct 27, 2022, 5:30 PM PDT – Oct 28, 2022, 6:30 PM PDT

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About the Event

Distributed Damage Characterization Enabled by Tomographic Methods

Ken Loh, Ph.D.

Professor

Active, Responsive, Multifunctional, and Ordered-materials Research (ARMOR) Laboratory

Department of Structural Engineering, University of California San Diego

Abstract

Structures are susceptible to damage caused by deterioration, changing operating conditions, natural disasters, or unexpected events. Undetected damage can propagate and cause catastrophic failure. Thus, structural health monitoring(SHM) is crucial for identifying damage initiation, directing repair, and ensuring system safety. This presentation outlines a new paradigm shift in SHM, where sensors are designed from a materials perspective stemming from a“bottom-up” design methodology. One can engineer novel stimuli-responsive materials that respond to structural response (or damage) features of interest. By coupling these materials with tomographic methods, spatial structural sensing could be achieved. This seminar will highlight a few examples. First, nanocomposite coatings are coupled with electrical resistance tomography (ERT) to realize densely distributed 2D sensing. Damage, such as cracks, strain fields, and pH/corrosion, could be identified and localized. ERT can also be extended to map the conductivity of patterned nanocomposites for strain field monitoring and even 3D cellular lattice structures for defect identification. Second, subsurface structural sensing could be achieved by embedding passive thin film sensors in structural components and then interrogating them using an electrical capacitance tomography (ECT) measurement strategy and algorithm. Cross-sectional images of structural components (e.g., composites) could be used to directly visualize and characterize defects.

Short Bio

Dr. Ken Loh is a Professor and was the former Vice Chair (2018-2021) of the Department of Structural Engineering at UC San Diego. He is the Director of the Active, Responsive, Multifunctional, and Ordered-materials Research (ARMOR) Laband is the Director of the UC San Diego, Jacobs School of Engineering, Center for Extreme Events Research (CEER). He is also an affiliate faculty member of the Materials Science & Engineering Program and the Center for Wearable Sensors. Dr. Loh received his B.S. in Civil Engineering from Johns Hopkins University in 2004. His graduate studies were at the University of Michigan, where he completed two M.S. degrees in Structural Engineering (2005) and Materials Science & Engineering (2008), as well as a Ph.D. in Structural Engineering in 2008. He started his Assistant Professor career in January 2009 in the Department of Civil & Environmental Engineering at UC Davis, before joining UC San Diego in January 2016. His research interests are in multifunctional and stimuli-responsive materials, tomographic imaging techniques, wearable sensors, active metamaterials, and soft material actuators applied towards solving problems related to human performance, structural sustainment, and human-structure interactions

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