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Title: Assessing performance and validating finite element simulations using probabilistic knowledge

Abstract

Two probabilistic approaches for assessing performance are presented. The first approach assesses probability of failure by simultaneously modeling all likely events. The probability each event causes failure along with the event's likelihood of occurrence contribute to the overall probability of failure. The second assessment method is based on stochastic sampling using an influence diagram. Latin-hypercube sampling is used to stochastically assess events. The overall probability of failure is taken as the maximum probability of failure of all the events. The Likelihood of Occurrence simulation suggests failure does not occur while the Stochastic Sampling approach predicts failure. The Likelihood of Occurrence results are used to validate finite element predictions.

Authors:
;  [1]
  1. (Edward A.)
Publication Date:
Research Org.:
Los Alamos National Laboratory
Sponsoring Org.:
USDOE
OSTI Identifier:
976083
Report Number(s):
LA-UR-02-0863; LA-UR-02-863
TRN: US201009%%337
Resource Type:
Conference
Resource Relation:
Conference: Submitted to: World Automation Conference. June 2002, Orlando.
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICAL METHODS AND COMPUTING; 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; FINITE ELEMENT METHOD; AUTOMATION; PERFORMANCE; PROBABILITY; VALIDATION

Citation Formats

Dolin, Ronald M., and Rodriguez, E. A. Assessing performance and validating finite element simulations using probabilistic knowledge. United States: N. p., 2002. Web.
Dolin, Ronald M., & Rodriguez, E. A. Assessing performance and validating finite element simulations using probabilistic knowledge. United States.
Dolin, Ronald M., and Rodriguez, E. A. Tue . "Assessing performance and validating finite element simulations using probabilistic knowledge". United States. https://www.osti.gov/servlets/purl/976083.
@article{osti_976083,
title = {Assessing performance and validating finite element simulations using probabilistic knowledge},
author = {Dolin, Ronald M. and Rodriguez, E. A.},
abstractNote = {Two probabilistic approaches for assessing performance are presented. The first approach assesses probability of failure by simultaneously modeling all likely events. The probability each event causes failure along with the event's likelihood of occurrence contribute to the overall probability of failure. The second assessment method is based on stochastic sampling using an influence diagram. Latin-hypercube sampling is used to stochastically assess events. The overall probability of failure is taken as the maximum probability of failure of all the events. The Likelihood of Occurrence simulation suggests failure does not occur while the Stochastic Sampling approach predicts failure. The Likelihood of Occurrence results are used to validate finite element predictions.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Jan 01 00:00:00 EST 2002},
month = {Tue Jan 01 00:00:00 EST 2002}
}

Conference:
Other availability
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