DOI QR코드

DOI QR Code

Reliability Analysis of the Non-normal Probability Problem for Limited Area using Convolution Technique

컨볼루션 기법을 이용한 영역이 제한된 비정규 확률문제의 신뢰성 해석

  • 이현만 (서울대학교 농업생명과학대학 지역시스템공학전공) ;
  • 김태곤 (서울대학교 농업생명과학대학 지역시스템공학전공) ;
  • 최원 ;
  • 서교 (서울대학교 농업생명과학대학 조경.지역시스템공학부) ;
  • 이정재 (서울대학교 농업생명과학대학 조경.지역시스템공학부)
  • Received : 2013.07.09
  • Accepted : 2013.09.02
  • Published : 2013.09.30

Abstract

Appropriate random variables and probability density functions based on statistical analysis should be defined to execute reliability analysis. Most studies have focused on only normal distributions or assumed that the variables showing non-normal characteristics follow the normal distributions. In this study, the reliability problem with non-normal probability distribution was dealt with using the convolution method in the case that the integration domains of variables are limited to a finite range. The results were compared with the traditional method (linear transformation of normal distribution) and Monte Carlo simulation method to verify that the application was in good agreement with the characteristics of probability density functions with peak shapes. However it was observed that the reproducibility was slightly reduced down in the tail parts of density function.

Keywords

References

  1. Bong, T. H., Y. H. Son, S. P. Kim and J. H, 2012. The Coefficients of Variation Characteristic of Stress Distribution in Silty Sand by Probabilistic Load. Journal of the Korean Society of Agricultural Engineers 54(6): 77-87 (in Korean). https://doi.org/10.5389/KSAE.2012.54.6.077
  2. Cho, H, Y., S. T. Jeong and Y. M. Oh, 2004. Estimation of Probability Density Function of Tidal Elevation Data. Journal of the Korean Society of Costal and Ocean Engineers 16(3): 152-161 (in Korean).
  3. Jeong, S. T., H. Y. Cho, J. D. Kim and D. H. Ko, 2008. Estimation of Probability Density Function of Tidal Elevation Data using the Double Truncation Method. Journal of the Korean Society of Costal and Ocean Engineers 20(3): 247-254 (in Korean).
  4. Kim, H. J., 1991. Reliability analysis for load determination on esturay sluice. MS. diss., Seoul National University.
  5. Kim, T. M., K. N. Hwang and T. T, 2005. Improved Estimation for Expected Sliding Distance of Caisson Breakwaters by Employment of a Doubly-Truncated Normal Distribution. Journal of the Korean Society of Costal and Ocean Engineers 17(4): 221-231 (in Korean).
  6. Lee, C. E, 2008. Reliability Analysis of Multiple Failure Modes of Rubble-Mound Breakwaters. Journal of the Korean Society of Costal and Ocean Engineers 20(2): 137-147 (in Korean).
  7. Lee, S. J and I. G. Kim, 2012. The Reliability-Based Probability Structural Analysis for the Composite Tail Plane Structures. Journal of the Korean Institute of Military Science and Technology 15(1): 93-100 (in Korean). https://doi.org/10.9766/KIMST.2012.15.1.093
  8. Moon, Y. Y., 2003. Analysis of determination the probability distribution of the dam for water level. korea water resources association.
  9. Nam, W. H., J. Y. Choi, T. G. Kim and J. J. Lee, 2012. Vulnerability Assessment of Water Supply in Agricultural Reservoir Utilizing Probability Distribution and Reliability Analysis Methods. Journal of the Korean Society of Agricultural Engineers 54(2): 37-46 (in Korean). https://doi.org/10.5389/KSAE.2012.54.2.037
  10. Nam, W. H., 2013. Sustainability and operations evaluation of agricultural reservoirs based on probability theory. Ph.D. diss., Seoul National University.
  11. Shin, S. M and S. S. Park, 2005. A Study on Optimization Design of Planar Steel Structures Considering Reliability Analysis. Journal of the Architectural Institute of Korea 21(7): 3-10 (in Korean).
  12. Yang, Y. S., Y. S. Suh and J. O. Lee, 1999. Structural Reliability Analysis Methods. Seoul National University Press.
  13. Youn, D. N., T. G. Kim, Y. C. Han and J. J. Lee, 2012. Development Model for Estimating Critical Path Probability of Element Path in PERT. Journal of the Korean Society of Agricultural Engineers 52(2): 27-34 (in Korean). https://doi.org/10.5389/KSAE.2010.52.2.027