Assessing performance and validating finite element simulations using probabilistic knowledge

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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 ... continued below

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7 p.

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Dolin, Ronald M. & Rodriguez, E. A. (Edward A.) January 1, 2002.

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Description

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.

Physical Description

7 p.

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  • Submitted to: World Automation Conference. June 2002, Orlando.

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  • Report No.: LA-UR-02-0863
  • Report No.: LA-UR-02-863
  • Grant Number: none
  • Office of Scientific & Technical Information Report Number: 976083
  • Archival Resource Key: ark:/67531/metadc934421

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

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  • January 1, 2002

Added to The UNT Digital Library

  • Nov. 13, 2016, 7:26 p.m.

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  • Dec. 12, 2016, 2:55 p.m.

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Dolin, Ronald M. & Rodriguez, E. A. (Edward A.). Assessing performance and validating finite element simulations using probabilistic knowledge, article, January 1, 2002; United States. (digital.library.unt.edu/ark:/67531/metadc934421/: accessed May 23, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.