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A Re-Analysis Methodology for System RBDO Using a Trust Region Approach with Local Metamodels

Journal Article
2010-01-0645
ISSN: 1946-3979, e-ISSN: 1946-3987
DOI: https://doi.org/10.4271/2010-01-0645
Published April 12, 2010 by SAE International in United States
A Re-Analysis Methodology for System RBDO Using a Trust Region Approach with Local Metamodels
Sector:
Citation: Kuczera, R., Mourelatos, Z., and Nikolaidis, E., "A Re-Analysis Methodology for System RBDO Using a Trust Region Approach with Local Metamodels," SAE Int. J. Mater. Manuf. 3(1):356-371, 2010, https://doi.org/10.4271/2010-01-0645.
Language: English

References

  1. Shan, S. Wang, G. G. “Failure Surface Frontier for Reliability Assessment on Expensive Performance Function,” ASME Journal of Mechanical Design 128 1227 1235 2006
  2. Pitchumani, R. Mawardi, A. “SAMS: Stochastic Analysis with Minimal Sampling - A Fast Algorithm for Analysis and Design under Uncertainty,” ASME Journal of Mechanical Design 127 558 571 2005
  3. Tu, J. Jones, D. R. “Variable Screening in Metamodel Design by Cross-Validated Moving Least Squares Method,” Proceedings of 44th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference , AIAA-2003-1669 Norfolk, VA April 7-10 2003
  4. Ye, K. Q. Li, W. Sudjianto A. “Algorithmic Construction of Optimal Symmetric Latin Hypercube Designs,” Journal of Statistical Planning and Inference 90 145 159 2000
  5. Johnson, M. E. Moore, L. M. Ylvisaker, D. “Minimax and Maximin Distance Design,” Journal of Statistical Planning and Inference 26 131 148 1990
  6. Kuczera, R. Mourelatos, Z. P. “On Estimating the Reliability of Multiple Failure Region Problems using Approximate Metamodels,” ASME Journal of Mechanical Design December 2009
  7. Rackwitz, R. Fiessler, B. “Structural Reliability under Combined Random Load Sequences,” Computers and Structures 9 5 484 494 1978
  8. Breitung, K. “Asymptotic Approximations for Multinormal Integrals,” ASCE Journal of Engineering Mechanics 110 357 366 1984
  9. Der Kiureghian, A. Dakessian T. “Multiple Design Points in First and Second-Order Reliability,” Structural Safety 20 1 37 49 1998
  10. Bucher, C. G. “Adaptive Sampling - An Iterative Fast Mote Carlo Procedure,” Structural Safety 5 119 126 1988
  11. Melchers, R. E. “Improved Importance Sampling Methods for Structural System Reliability Calculation,” Proceedings of International Conference on Structural Safety and Reliability (ICOSSAR) 1185 1192 1989
  12. Karamchandani, A. Bjerager, P. Cornell, C. A. “Adaptive Importance Sampling,” 5th International Conference on Structural Safety and Reliability Ang, A. H.-S. Shinozuka, M. Schuëller, G. I. ASCE 855 862 New York 1989
  13. Mahadevan, S. Raghothamachar, P. “Adaptive Simulation for System Reliability Analysis of Large Structures,” Computers and Structures 77 725 734 2000
  14. Zou, T. Mahadevan, S. Mourelatos, Z. P. Meernik, P. R. “Reliability Analysis of Automotive Body-Door Subsystem,” Reliability Engineering and System Safety 78 3 315 324 2002
  15. Cornell, C. A. “Bounds on the Reliability of Structural Systems” Journal of Structural Division, 93ST 1 171 200 1967
  16. Ditlevsen, O. “Narrow Reliability Bounds for Structural Systems” Journal of Structural Mechanics 7 4 453 472 1979
  17. Schueller, G. I. Stix R. “A Critical Appraisal of Methods to Determine Failure Probabilities” Structural Safety 4 4 293 309
  18. Fu, G. Moses, F. “Multimodal Simulation Method for System Reliability Analysis” Journal of Engineering Mechanics 119 6 1173 1179 1993
  19. Ditlevsen, O. Bjerager, P. “Plastic Reliability Analysis by Directional Simulation” DCAMM Report 353 Technical University of Denmark Lyngby, Denmark June 1987
  20. Au, S. K. Beck, J. L. “A New Adaptive Importance Sampling Scheme for Reliability Calculations,” Structural Safety 21 135 158 1999
  21. Haldar, A. Mahadevan, S. Probability, Reliability and Stastical Methods in Engineering Design John Wiley & Sons 2000
  22. Annis, C. “Probabilistic Life Prediction Isn't as Easy as it Looks,” Journal of ASTM International 1 2 3 14 2004
  23. Nikolaidis, E. Ghiocel, D. Singhal, S. Engineering Design Reliability Handbook CRC Press New York 2004
  24. Choi, K. Lee, I. Gorsich, D. Lamb, D. “Reliability-Based Design Optimization with Confidence Level under Input Model Uncertainty” Proceedings of the ASME 2009 International Design Engineering Technical Conference & Computers and Information in Engineering 2009
  25. Hu, C. Youn, B. “Adaptive-Sparse Polynomial Chaos Expansion for Reliability Analysis and Design of Complex Engineering Systems” Proceedings of the ASME 2009 International Design Engineering Technical Conference & Computers and Information in Engineering 2009
  26. Nelsen, R. B. An Introduction to Copulas Springer Verlag New York 2006
  27. Farizal Nikolaidis, E. “Assessment of Imprecise Reliability Using Efficient Probabilistic Reanalysis,” SAE Technical Paper 2007-01-0552 2007
  28. Zhang, G. Nikolaidis, E. Mourelatos, Z. P. “An Efficient Re-Analysis Methodology for Probabilistic Vibration of Large-Scale Structures,” ASME Journal of Mechanical Design 131 5 2009
  29. Meeker, W. Q. Escobar, L. A. Statistical Methods for Reliability Data John Wiley & Sons 1998
  30. Aldrich, J. “R. A. Fisher and the Making of Maximum Likelihood,” Statistical Science 12 3 162 176 1997
  31. Mourelatos, Z. P. Kuczera, R. Latcha, M. “An Efficient Monte Carlo Reliability Analysis using Global and Local Metamodels,” 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference , AIAA-2006-7087 Portsmouth, VA September 6-8 2006

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