Uncertainty Quantification of Multi-Component Isotope-Separation Cascade Model

Abstract

Monte Carlo uncertainty quantification (UQ) capability has been added to a code for modeling multi-component steady-state isotope-separation enrichment cascades to characterize the propagation of uncertainties in input data that define the cascade and the feed. Random samples of error for every computational input are drawn from its individual uncertainty distribution and added to the inputs, creating a set of enrichment cascade problems with perturbed inputs. The set of problems is solved using the verified code. The cascade outputs are then characterized using the empirical cumulative distribution. The uncertainty output data are analyzed to gain new insights into the behaviors of enrichment cascades. The UQ capability is an investigative tool that can be used to explore current and new questions of interest regarding enrichment.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2010
Accession Number
ADA516511

Entities

People

  • Khoi D. Tran

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Algorithms
  • Computers
  • Data Science
  • Flow Rate
  • Information Science
  • Isotope Separation
  • Mass Flow
  • Materials
  • Normal Distribution
  • Probability
  • Reliability
  • Statistical Analysis
  • Statistical Samples
  • Steady State
  • Verification Tests

Readers

  • Computational Fluid Dynamics (CFD)
  • Control Systems Engineering.
  • Regression Analysis.