Understanding the Effects of Model Uncertainty in Robust Design With Computer Experiments

  title={Understanding the Effects of Model Uncertainty in Robust Design With Computer Experiments},
  author={Daniel W. Apley and Wei Chen},
The use of computer experiments and surrogate approximations (metamodels) introduces a source of uncertainty in simulation-based design that we term model interpolation uncertainty. Most existing approaches for treating interpolation uncertainty in computer experiments have been developed for deterministic optimization and are not applicable to design under uncertainty in which randomness is present in noise and/or design variables. Because the random noise and/or design variables are also… CONTINUE READING
24 Citations
58 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 24 extracted citations


Publications referenced by this paper.
Showing 1-10 of 58 references

A Methodology for Evaluating System-level Uncertainty in the Conceptual Design of Complex Multidisciplinary Systems,

  • J. D. Martin
  • Ph.D. thesis,
  • 2005

Analytical Global Sensitivity Analysis and Uncertainty Propagation for Robust Design,

  • W. Chen, R. Jin, A. Sudjianto
  • J. Quality Technol.,
  • 2005

Use of Kriging Models to Approximate Deterministic Computer Models,

  • J. D. Martin, T. W. Simpson
  • AIAA J.,
  • 2005

A Monte Carlo Simulation of the Kriging Model,” 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization

  • J. D. Martin, T. W. Simpson
  • 2004

Construction of Response Surfaces Based on Progressive-Lattice-Sampling Experimental Designs With Application to Uncertainty Propagation,

  • V. J. Romero, L. P. Swiler, A. A. Giunta
  • Struct. Safety,
  • 2004

Similar Papers

Loading similar papers…