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https://hdl.handle.net/11681/43862| Title: | Risk-based prioritization of operational condition assessments : Jennings Randolph case study |
| Authors: | Alt, Jonathan K. Brown, Willie H. Gallarno, George E. Richards, John P. Rice, Titus L. |
| Keywords: | Civil engineering--Planning Decision making Engineering--Management Hydraulic structures Jennings Randolph Lake (Md. and W. Va.) Operations research Risk assessment |
| Publisher: | Engineer Research and Development Center (U.S.) |
| Series/Report no.: | Special Report (Engineer Research and Development Center (U.S.)) ; ERDC/ITL SR-22-4 |
| Abstract: | The US Army Corps of Engineers (USACE) operates, maintains, and manages over $232 billion worth of the Nation’s water resource infrastructure. Using Operational Condition Assessments (OCA), the USACE allocates limited resources to assess asset condition in efforts to minimize risks associated with asset performance degradation, but decision makers require a greater understanding of those risks. The analysis of risk associated with Flood Risk Management assets in the context of its associated watershed system includes understanding the consequences of the asset’s failure and a determination of the likelihood that the asset will perform as expected given the current OCA ratings of critical components. This research demonstrates an application of a scalable methodology to model the probability of a dam performing as expected given the state of its subordinate gates and their components. The research team combines this likelihood 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 an optimization program that outputs the optimal set of components to conduct OCAs on to minimize risk in the watershed. Proof-of-concept results for an initial case study on the Jennings Randolph Dam are provided. |
| Description: | Special Report |
| Gov't Doc #: | ERDC/ITL SR-22-4 |
| Rights: | Approved for Public Release; Distribution is Unlimited |
| URI: | https://hdl.handle.net/11681/43862 http://dx.doi.org/10.21079/11681/43862 |
| Appears in Collections: | Special Report |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ERDC-ITL SR-22-4.pdf | ERDC-ITL SR-22-4 | 5.02 MB | Adobe PDF |  View/Open |