Applications of Analytic Models to Spent Fuel Cask Analysis
Abstract
The advent of high performance computing has changed the way scientists and engineers solve problems. Scientists previously would make a tremendous effort to simplify a complex problem to it’s essence by reducing geometry, neglecting changes and only preserving firstorder effects. Now, scientist are able to leave the details in the problem and computationally arrive at a result. To develop the computational physics programs used by scientists, developers make assumptions and use approximation to reduce complex, continuous calculus to algebraic expressions which computers are able to solve.
 Authors:

 Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
 Publication Date:
 Research Org.:
 Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
 Sponsoring Org.:
 USDOE
 OSTI Identifier:
 1482918
 Report Number(s):
 LAUR1831006
 DOE Contract Number:
 89233218CNA000001
 Resource Type:
 Technical Report
 Country of Publication:
 United States
 Language:
 English
 Subject:
 12 MANAGEMENT OF RADIOACTIVE AND NONRADIOACTIVE WASTES FROM NUCLEAR FACILITIES; Spent Fuel Cask; Symmetry Analysis
Citation Formats
Remedes, Tyler Joseph. Applications of Analytic Models to Spent Fuel Cask Analysis. United States: N. p., 2018.
Web. doi:10.2172/1482918.
Remedes, Tyler Joseph. Applications of Analytic Models to Spent Fuel Cask Analysis. United States. doi:10.2172/1482918.
Remedes, Tyler Joseph. Tue .
"Applications of Analytic Models to Spent Fuel Cask Analysis". United States. doi:10.2172/1482918. https://www.osti.gov/servlets/purl/1482918.
@article{osti_1482918,
title = {Applications of Analytic Models to Spent Fuel Cask Analysis},
author = {Remedes, Tyler Joseph},
abstractNote = {The advent of high performance computing has changed the way scientists and engineers solve problems. Scientists previously would make a tremendous effort to simplify a complex problem to it’s essence by reducing geometry, neglecting changes and only preserving firstorder effects. Now, scientist are able to leave the details in the problem and computationally arrive at a result. To develop the computational physics programs used by scientists, developers make assumptions and use approximation to reduce complex, continuous calculus to algebraic expressions which computers are able to solve.},
doi = {10.2172/1482918},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {11}
}
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