College of Engineering Research Seminar
- Friday, February 6, 2015 from 3:10pm to 4:00pm
- Roberts Hall - view map
Standards-Based Data-Driven Prognostics and Health Management
Dr. John W. Sheppard
Every year, both the government and commercial aerospace communities spend millions of dollars to maintain their systems. Faced with retest-ok and cannot duplicate rates of 50-80%, much of the work done in system maintenance is classified as ineffective. To address the resulting high cost of maintenance, the Department of Defense has been funding research in new methods to analyze their high volumes of design, operation, test, and maintenance data and to incorporate new technologies in health monitoring and test systems. Our research is focused on developing new probabilistic methods that draws on this wealth of data. Specifically, we are developing the Standards-based Analysis Platform for Predictive Health and Integrated Reasoning Environment (SAPPHIRE), using new methods based on integrated physics-based models with data-driven models and incorporating advanced risk-based analysis to guide fault prediction.
Snowpack interaction and response to avalanche control explosives
Mechanical & Industrial Engineering
Avalanche hazard mitigation programs routinely use explosive charges to release avalanches and to test slope stability, but fundamental understanding of snowpack response to explosive detonations is lacking. An appropriate instrumentation suite was developed and placed in close proximity to the explosives. Pentolite cast boosters were detonated on and at various heights above the snow surface. Snowpack dynamic response and air overpressures were measured. An analytic tool was also used to examine the internal dynamic snow response during explosive events. An explicit nonlinear dynamic model (using ANSYS/AUTODYN) was developed where the explosion, shock propagation through air and snow response was simulated in a single analysis. This versatile approach handles the complex interactions from explosive events and solids, gases and liquids. Nonlinear interactions and responses are modeled during the detonation and subsequent propagation through the air and snow. The model predicts snow internal structural response during explosive events including cratering, stress, strain, density changes, velocity and acceleration. This research is leading to increased insight for more effective application of explosive products used in avalanche control.
High-Temperature Corrosion Research
Paul E. Gannon
Chemical and Biological Engineering
High-temperature (>500°C) corrosion is ubiquitous in chemical process industries and energy conversion systems, e.g., boilers, engines and fuel cells. Our group conducts both fundamental and applied research into high-temperature corrosion phenomena, seeking to understand corrosion mechanisms and facilitate corrosion prevention strategies. This talk will overview past and present projects in context of improving materials durability and increasing process or system performance.
- College of Engineering