Sensitivity Analysis of the Thermal Response of 9975 Packaging Using Factorial Design Methods
Abstract
A method is presented for using the statistical design of experiment (2{sup k} Factorial Design) technique in the sensitivity analysis of the thermal response (temperature) of the 9975 radioactive material packaging where multiple thermal properties of the impact absorbing and fire insulating material Celotex and certain boundary conditions are subject to uncertainty. 2{sup k} Factorial Design method is very efficient in the use of available data and is capable of analyzing the impact of main variables (Factors) and their interactions on the component design. The 9975 design is based on detailed finite element (FE) analyses and extensive proof testing to meet the design requirements given in 10CFR71 [1]. However, the FE analyses use Celotex thermal properties that are based on published data and limited experiments. Celotex is an orthotropic material that is used in the home building industry. Its thermal properties are prone to variation due to manufacturing and fabrication processes, and due to long environmental exposure. This paper will evaluate the sensitivity of variations in thermal conductivity of the Celotex, convection coefficient at the drum surface, and drum emissivity (herein called Factors) on the thermal response of 9975 packaging under Normal Conditions of Transport (NCT). Application of this methodologymore »
- Authors:
- Publication Date:
- Research Org.:
- Savannah River Site (SRS), Aiken, SC
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 881490
- Report Number(s):
- WSRC-MS-2005-00649
TRN: US0603107
- DOE Contract Number:
- DE-AC09-96SR18500
- Resource Type:
- Conference
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 42 ENGINEERING; SENSITIVITY ANALYSIS; PACKAGING; RADIOACTIVE MATERIALS; EMISSIVITY; THERMAL CONDUCTIVITY; THERMODYNAMIC PROPERTIES
Citation Formats
Gupta, Narendra K. Sensitivity Analysis of the Thermal Response of 9975 Packaging Using Factorial Design Methods. United States: N. p., 2005.
Web.
Gupta, Narendra K. Sensitivity Analysis of the Thermal Response of 9975 Packaging Using Factorial Design Methods. United States.
Gupta, Narendra K. Mon .
"Sensitivity Analysis of the Thermal Response of 9975 Packaging Using Factorial Design Methods". United States.
doi:. https://www.osti.gov/servlets/purl/881490.
@article{osti_881490,
title = {Sensitivity Analysis of the Thermal Response of 9975 Packaging Using Factorial Design Methods},
author = {Gupta, Narendra K.},
abstractNote = {A method is presented for using the statistical design of experiment (2{sup k} Factorial Design) technique in the sensitivity analysis of the thermal response (temperature) of the 9975 radioactive material packaging where multiple thermal properties of the impact absorbing and fire insulating material Celotex and certain boundary conditions are subject to uncertainty. 2{sup k} Factorial Design method is very efficient in the use of available data and is capable of analyzing the impact of main variables (Factors) and their interactions on the component design. The 9975 design is based on detailed finite element (FE) analyses and extensive proof testing to meet the design requirements given in 10CFR71 [1]. However, the FE analyses use Celotex thermal properties that are based on published data and limited experiments. Celotex is an orthotropic material that is used in the home building industry. Its thermal properties are prone to variation due to manufacturing and fabrication processes, and due to long environmental exposure. This paper will evaluate the sensitivity of variations in thermal conductivity of the Celotex, convection coefficient at the drum surface, and drum emissivity (herein called Factors) on the thermal response of 9975 packaging under Normal Conditions of Transport (NCT). Application of this methodology will ascertain the robustness of the 9975 design and it can lead to more specific and useful understanding of the effects of various Factors on 9975 performance.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Oct 31 00:00:00 EST 2005},
month = {Mon Oct 31 00:00:00 EST 2005}
}