Masters Theses

Abstract

"While undergoing relicensing activities at the University of Missouri-Rolla Reactor, it became necessary to predict consequences from hypothetical accidents in order to ensure safety at the facility. Since the last update to the facility’s accident analysis in 1988, federal regulations regarding potential doses to members of the reactor staff and the public have become stricter. Due to these changes, the previous methodology used to predict consequences at the facility was found to be overly conservative.

A new methodology was developed in order to make more accurate, yet still conservative, calculations predicting the accidental release of fission product gases to the environment. A computer code, called ADDERR (Atmospheric Dispersion and Dose Estimates for Research Reactors) was created to facilitate the vast number of computations needed. The code is able to compute in-building and downwind doses, using a modified Gaussian puff model for dispersion and a finite cloud model for gamma dose.

Results from the ADDERR code were compared with results from other established codes. Due to the differences in the codes, results from ADDERR did not compare exactly to other results, which is expected. However, varying some input parameters within all of the codes shows that ADDERR results behave comparably to the other codes. Therefore, even though there are some computational and methodological limitations, the ADDERR code should be considered a valid model, within its restrictions"-- Abstract, p. iii

Advisor(s)

Tokuhiro, Akira

Committee Member(s)

Edwards, D. R.
Sauer, Harry J., Jr., 1935-2008

Department(s)

Nuclear Engineering and Radiation Science

Degree Name

M.S. in Nuclear Engineering

Publisher

University of Missouri--Rolla

Publication Date

Spring 2001

Pagination

ix, 127 pages

Note about bibliography

Includes bibliographical references (pages 123-126)

Rights

© 2001 Matthew Clark Adler, All rights reserved.

Document Type

Thesis - Restricted Access

File Type

text

Language

English

Thesis Number

T 7889

Print OCLC #

47235633

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