Research Summaries

Back Developing Consequence Data from Hydrological Models through Designed Computational Experiments

Fiscal Year 2021
Division Graduate School of Operational & Information Sciences
Department Data Science and Analytics Group
Investigator(s) Schuchard, Ross J.
Sponsor Army Engineer Research & Development Center (Army)
Summary The U.S. Army Corps of Engineers (USACE) operates, maintains, and manages more than $232 billion worth of the Nation's water resource infrastructure. Using the Operational Condition Assessment (OCA) system, the USACE allocates limited resources to assess asset condition in efforts to minimize risks associated with asset performance degradation. Currently, OCAs are conducted on each component every five years, regardless of the component's risk contribution. The analysis of risk associated with Flood Risk Management (FRM) assets, such as dams, includes consideration of how each asset contributes to its associated FRM watershed system, understanding the consequences of the asset's performance degradation, and a determination of the likelihood that the asset will perform as expected given the current OCA condition ratings of critical components. Previous research developed a proof of concept application of a methodology to model the probability of a gate performing as expected given the state of its subordinate systems and their components. This probability was combined with consequences generated by the application of designed simulation experiments with hydrological models to develop a measure of risk. The resulting risk scores serve as an input for a mixed-integer optimization program that outputs the optimal set of components to conduct OCAs on order to minimize risk in the watershed.
Keywords Design of Experiments (DOE) modeling mixed integer programming machine l
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Data Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal