Computational Structural Engineering (전산구조공학)

Computational Structural Engineering Institute of Korea (한국전산구조공학회)
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Reliability-Based Design Optimization and Varying Standard Deviation

신뢰성기반 최적설계와 표준편차의 변화

  • 조현규 (목포대학교 기계.신소재공학과)
  • Published : 2018.06.30
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Abstract

Keywords

References

  1. Dowling, N. E. (2013) Mechanical Behavior of Materials, 4th ed., Pearson, Boston.
  2. POSCO (2014) Cold Rolled Steel 냉연강판, POSCO, Seoul.
  3. Arora, J. S. (2004) Introduction to Optimum Design, 4th ed., Academic Press, London.
  4. Haldar, A., Mahadevan, S. (2000) Probability, Reliability and Statistical Methods in Engineering Design, John Wiley & Sons, New York.
  5. Tu, J., Choi, K. K., Park, Y. H. (1999) A New Study on Reliability-Based Design Optimization. Journal of Mechanical Design, Vol. 121, No. 4, pp. 557-564. https://doi.org/10.1115/1.2829499
  6. Lee, I., Choi, K. K., Noh, Y., Zhao, L., Gorsich, D. (2011) Sampling-Based Stochastic Sensitivity Analysis Using Score Functions for RBDO Problems With Correlated Random Variables. Journal of Mechanical Design, Vol. 133, No. 2, p. 21003. https://doi.org/10.1115/1.4003186
  7. Cho, H., Choi, K. K., Lamb, D. (2017) Sensitivity Developments for RBDO with Dependent Input Variable and Varying Input Standard Deviation. Journal of Mechanical Design, Vol. 139, No. 7, pp. 071402. https://doi.org/10.1115/1.4036568
  8. Rosenblatt, M. (1952) Remarks on a Multivariate Transformation, Annals of Mathematical Statistics, Vol. 23, No. 3, pp. 470-472. https://doi.org/10.1214/aoms/1177729394
  9. Cho, H., Choi, K. K., Lee, I., Lamb, D. (2016) Design Sensitivity Method for Sampling-Based RBDO with Varying Standard Deviation, Journal of Mechanical Design, Vol. 138, No. 1, pp. 011405. https://doi.org/10.1115/1.4031829
  10. Geddes, K. O., Glasser, M. L., Moore, R. A., Scott, T. C. (1990) Evaluation of Classes of Definite Integrals Involving Elementary Functions via Differentiation of Special Functions, Applicable Algebra in Engineering, Communication and Computing, Vol. 1, No. 2, pp. 149-165. https://doi.org/10.1007/BF01810298