Methods for Quantifying the Uncertainties of LSIT Test Parameters, Test Results, and Full-Scale Mixing Performance Using Models Developed from Scaled Test Data
Abstract
This report discusses the statistical methods for quantifying uncertainties in 1) test responses and other parameters in the Large Scale Integrated Testing (LSIT), and 2) estimates of coefficients and predictions of mixing performance from models that relate test responses to test parameters. Testing at a larger scale has been committed to by Bechtel National, Inc. and the U.S. Department of Energy (DOE) to “address uncertainties and increase confidence in the projected, full-scale mixing performance and operations” in the Waste Treatment and Immobilization Plant (WTP).
- Authors:
-
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Publication Date:
- Research Org.:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1228357
- Report Number(s):
- PNNL-22033; WPT-RPT-226, Rev0
830403000; TRN: US1600030
- DOE Contract Number:
- AC05-76RL01830
- Resource Type:
- Technical Report
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING; 12 MANAGEMENT OF RADIOACTIVE AND NON-RADIOACTIVE WASTES FROM NUCLEAR FACILITIES; MIXING; PERFORMANCE; RADIOACTIVE WASTE PROCESSING; TESTING; CALCULATION METHODS; RADIOACTIVE WASTE FACILITIES; DATA COVARIANCES; DATA PROCESSING; STATISTICS; HANFORD ENGINEERING DEVELOPMENT LABORATORY; CONTAINERS; EXPERIMENT DESIGN; FEASIBILITY STUDIES; Large scale integrated testing; pulse jet mixer; scaled vessels; mixing performance
Citation Formats
Piepel, Gregory F., Cooley, Scott K., Kuhn, William L., Rector, David R., and Heredia-Langner, Alejandro. Methods for Quantifying the Uncertainties of LSIT Test Parameters, Test Results, and Full-Scale Mixing Performance Using Models Developed from Scaled Test Data. United States: N. p., 2015.
Web. doi:10.2172/1228357.
Piepel, Gregory F., Cooley, Scott K., Kuhn, William L., Rector, David R., & Heredia-Langner, Alejandro. Methods for Quantifying the Uncertainties of LSIT Test Parameters, Test Results, and Full-Scale Mixing Performance Using Models Developed from Scaled Test Data. United States. https://doi.org/10.2172/1228357
Piepel, Gregory F., Cooley, Scott K., Kuhn, William L., Rector, David R., and Heredia-Langner, Alejandro. 2015.
"Methods for Quantifying the Uncertainties of LSIT Test Parameters, Test Results, and Full-Scale Mixing Performance Using Models Developed from Scaled Test Data". United States. https://doi.org/10.2172/1228357. https://www.osti.gov/servlets/purl/1228357.
@article{osti_1228357,
title = {Methods for Quantifying the Uncertainties of LSIT Test Parameters, Test Results, and Full-Scale Mixing Performance Using Models Developed from Scaled Test Data},
author = {Piepel, Gregory F. and Cooley, Scott K. and Kuhn, William L. and Rector, David R. and Heredia-Langner, Alejandro},
abstractNote = {This report discusses the statistical methods for quantifying uncertainties in 1) test responses and other parameters in the Large Scale Integrated Testing (LSIT), and 2) estimates of coefficients and predictions of mixing performance from models that relate test responses to test parameters. Testing at a larger scale has been committed to by Bechtel National, Inc. and the U.S. Department of Energy (DOE) to “address uncertainties and increase confidence in the projected, full-scale mixing performance and operations” in the Waste Treatment and Immobilization Plant (WTP).},
doi = {10.2172/1228357},
url = {https://www.osti.gov/biblio/1228357},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri May 01 00:00:00 EDT 2015},
month = {Fri May 01 00:00:00 EDT 2015}
}
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