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Artificial Intelligence for EM Problem Set (D&D) – Structural Health Monitoring of D&D Facility to Identify Cracks and Structural Defects for Surveillance and Maintenance

Artificial Intelligence for EM Problem Set (D&D) – Structural Health Monitoring of D&D Facility to Identify Cracks and Structural Defects for Surveillance and Maintenance

Structural health monitoring is imperative to the ongoing surveillance and maintenance (S&M) across the DOE complex. As these facilities await decommissioning, there is a need to understand the structural health of these structures. Many of these facilities were built over 50 years ago and, in some cases, these facilities have gone beyond operational life expectancy. In any of these scenarios, the structural integrity of these facilities may be compromised, so…

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Artificial Intelligence for EM Problem Set (Soil and Groundwater) – Machine Learning Modeling to Identify Temporal and Spatial Relationships between Inland and Shoreline Hexavalent Chromium [Cr(VI)] Concentrations in 100 Areas

Hexavalent chromium (Cr(VI)) is one of the primary contaminants in the 100 Areas at the U.S. Department of Energy’s (DOE’s) Hanford Site. Various cleanup efforts are ongoing to remediate this waste site since the late 1990s. To estimate the effects of these cleanup efforts and plan future cleanup actions, it is necessary to analyze Cr(VI) dynamics in the groundwater and surface water. The monitoring data available for groundwater wells and…

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