[논문]Uncertainty Analysis of Concrete Structures Using Modified Latin Hypercube Sampling Method

Yang, In-Hwan

doi:10.4334/ijcsm.2006.18.2e.089

Uncertainty Analysis of Concrete Structures Using Modified Latin Hypercube Sampling Method 원문보기

International journal of concrete structures and materials, v.18 no.2E, 2006년, pp.89 - 95

Yang, In-Hwan (Technical Research Institute, Daelim Industrial Co. Ltd.)

Abstract ▼ AI-Helper

This paper proposes a modified method of Latin Hypercube sampling to reduce the variance of statistical parameters in uncertainty analysis of concrete structures. The proposed method is a modification of Latin Hypercube sampling method. This analysis method uses specifically modified tables of random permutations of ranked numbers. In addition, the Spearman coefficient is used to make modified tables. Numerical analysis is carried out to predict the uncertainty of axial shortening in prestressed concrete bridge. Statistical parameters obtained from modified Latin Hypercube sampling method and conventional Latin Hypercube sampling method are compared and evaluated by a numeric analysis. The results show that the proposed method results in a decrease in the variance of statistical parameters. This indicates the method is efficient and effective in the uncertainty analysis of complex structural system such as prestressed concrete bridges.

주제어

AI 본문요약
AI-Helper

* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.

문제 정의

than the conventional LHS method. This study presents a basic theoretical background to this improved variance reduction sampling scheme. This technique uses specially modified tables of random permutations of rank numbers which form the strategy of generating input samples for the simulation procedure.

가설 설정

This improved the content of Table 1. The appropriate rank correlation matrix is shown in Table 2. It is clearly seen that rank correlation among columns of the table is decreased. The extreme value of the Spearman coefficient is now equal to -0.

제안 방법

The improved statistical method proposed in this study is a modified LHS method in which the sampling method is more optimized than the conventional LHS method. This study presents a basic theoretical background to this improved variance reduction sampling scheme.
The purpose of this study is to compare the estimates of statistical parameters obtained from a different number of simulations by using modified Latin Hypa'cube sampling method, and conventional Latin Hypercube sampling method. Intfiis study, a modified method of Latin Hypercube sampling is proposed by which the variance of statistical parameters of ou申uts can be reduced more.
The p非)er presents a basic theoretical reasoning sampling scheme. This method uses specially modified tables of random permutations of rank numbers, which form the input samples for a simulation procedure. Finally, numerical analyses are carried out to show that the proposed modification of Latin Hypercube sampling method can result in a significant decrease in the variance of the estimates of commonly used statistical parameters.
This study presents a basic theoretical background to this improved variance reduction sampling scheme. This technique uses specially modified tables of random permutations of rank numbers which form the strategy of generating input samples for the simulation procedure. The methodto obtain these specially modified tables is described next.

이론/모형

This paper presents an effective probabilistic analysis method fbr the uncertainty analysis of concrete structures. It is a modification of Latin Hypercube sampling method.

성능/효과

This method uses specially modified tables of random permutations of rank numbers, which form the input samples for a simulation procedure. Finally, numerical analyses are carried out to show that the proposed modification of Latin Hypercube sampling method can result in a significant decrease in the variance of the estimates of commonly used statistical parameters.
As an application example, a numerical analysis of pre-stressed concrete box girder is carried out to analyze its axial deformation. The application study revealed that the difference between the maximum and minimum values, standard deviation, and coefficient of variation determined by the proposed method was m니ch smaller than those determined by conventional LHS method. Thus, it follows that the proposed method results in a significant reduction of the variance in the estimates of common statistical parameters.
The results of the analysis show that the proposed method achieved a substantial reduction of the variance in the estimation of commonly used statistical parameters such as mean, standard deviation and coefficient of vanation.
Information on model uncertainty can be found from the work of Bazant and Panula. Their study found that the coefficients of variation of shrinkage, basic creep and drying creep properties were 22% for shrinkage, 27% for basic creep, and 18% for diying creep, respectively. The reported coefficients of variation of the W factors are

참고문헌 (17)

Oh, B. H. and Yang, I. H., 'Sensitivity Analysis of Time-Dependent Behavior in PSC Box Girder Bridges,' Journal of Structural Engineering, ASCE, Vol.126, No.2, 2000, pp.171~179

상세보기
Fossum, A. F. and Munson, D. E., 'Probabilistic Creep Analysis of Underground Structures in Salt,' Journal of Engineering Mechanics, ASCE, Vol.122, No.3, 1996, pp.209~217

상세보기
Madsen, H. O., Krenk, S., and Lind, N. C., Methods of Structural Safety, Prentice Hall, Englewood Cliffs, New Jersey, 1986
Novak, D., Teply, B., and Shiraishi, N., 'Sensitivity Analysis of Structures : a review,' Proceedings of CIVIL COMP 93, Edinburgh, Scotland, 1993, pp.201~207
Iman , R. L. and Conover, W. J., 'Small Sample Sensitivity Analysis Techniques for Computer Models with an Application to Risk Assessment,' Communications in Statistics, A9, 1980, pp.1749~1842
Iman, R. L., Helton, J. C., and Campbell, J. E., 'An Approach to Sensitivity Analysis of Computer Models, Part I Introduction, Input Variable Selection and Preliminary Variable Assessment,' Journal of Quality Technology, Vol.13, No.3 , July, 1981, pp.l74~183
Iman, R. L., Helton, J. C., and Campbell, J. E., 'An Approach to Sensitivity Analysis of Computer Models, Part-Ranking of Input Variables, Response Surface Validation, Distribution Effect and Technique Synopsis,' Journal of Quality Technology, Vol.13, No.4, Oct., 1981, pp.232~240
Novak, D., Teply, B., and Kersner, Z., 'The Role of Latin Hypercube Sampling Method in Reliability Engineering,' Proceedings of ICOSSAR-97, Kyoto, Japan, 1997, pp.403~409
Olsson , A., Sandberg, G., and Dahlblom, O., 'On Latin Hypercube Sampling for Structural Reliability Analysis,' Structural Safety, 25, 2003, pp.47~68
Hettmansper, T. P., Statistical Inference Based on Ranks, John Wiley & Sons, New York, 1984
Scheaffer, R. L. and McClave, J. T., Probability and Statistics for Engineers, 2nd Ed., Duxbury Press, Boston, 1986
Bazant, Z. P. and Panula, L., 'Creep and Shrinkage Characterization for Analyzing Prestressed Concrete Structures,' PCI Journal, Vol.25, No.3, 1980, pp.86~122

상세보기
Reinhardt, H. W., Pat, M. G., and Wittmann, F. H., 'Variability of Creep and Shrinkage of Concrete,' Proceedings of symposium on fundamental on creep and shrinkage of concrete, M.Nijhoff, The Hague, 1982, pp.75~94
Madsen, H. O. and Bazant, Z. P., 'Uncertainty Analysis of Creep and Shrinkage Effects in Concrete Structures,' ACI Journal, Vol.80, March-April, 1983, pp.116~127

상세보기
Diamantidis, D., Madsen, H. O., and Rackwitz, R., 'On the Variability of the Creep Coefficient of Structural Concrete,' Materials and Structures, Vol.17, No.100, 1983, pp.321~328
Li, C. Q. and Melchers, R. E., 'Reliability Analysis of Creep and Shrinkage Effects,' Journal of Structural Engineering, ASCE, Vol.118, No.5, 1992, pp.1532~1548
Khor, E. H., Rosowsky, D. V., and Stewart, M. G., 'Porbabilistic Analysis of Time-dependent Deflections of RC Flexural Members,' Computers & Structures, Vol.79, Issue. 16, 2001, pp.1461~1472

상세보기

내보내기 구분	파일저장 인쇄 메일전송
구성항목	기본정보 상세정보 관리번호, 논문명, 저널/프로시딩명, 저자 , 발행년, 권, 호, 시작페이지, 끝페이지, 발행기관 관리번호, 논문명, 대등논문명, 저자 , 저널/프로시딩명, 발행기관, 발행년, 발행언어, 권, 호, 시작페이지, 끝페이지, ISBN, ISSN, 주제분야, 키워드, 초록(한글), 초록(영문), 저자(소속기관)
저장형식	Text(ASCII format) Excel format RefWorks Direct Export RIS format (for Reference Manager, ProCite, EndNote), Scholar's Aids, Mendeley
메일정보	받는사람 (필수) @ 보내는사람 (선택) @ 제목 내용 KISTI 검색결과 이메일 서비스
안내	총 건의 자료가 검색되었습니다. 다운받으실 자료의 인덱스를 입력하세요. (1-10,000) 검색결과의 순서대로 최대 10,000건 까지 다운로드가 가능합니다. 데이타가 많을 경우 속도가 느려질 수 있습니다.(최대 2~3분 소요) 다운로드 파일은 UTF-8 형태로 저장됩니다. 파일의 내용이 제대로 보이지 않을실 때는 웹브라우저 상단의 보기 -> 인코딩 -> 자동선택 여부를 확인하십시오. ~ Text(ASCII format) Excel format

연합인증

Uncertainty Analysis of Concrete Structures Using Modified Latin Hypercube Sampling Method 원문보기

Abstract ▼ AI-Helper

주제어

AI 본문요약
AI-Helper

문제 정의

가설 설정

제안 방법

이론/모형

성능/효과

참고문헌 (17)

이 논문을 인용한 문헌

관련 콘텐츠

원문 보기

원문 URL 링크

오픈액세스(OA) 유형

연관된 기능

이 논문과 함께 이용한 콘텐츠

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

선택된 텍스트

연합인증

Uncertainty Analysis of Concrete Structures Using Modified Latin Hypercube Sampling Method 원문보기

Abstract ▼ AI-Helper

주제어

AI 본문요약 엑셀 다운로드 AI-Helper

문제 정의

가설 설정

제안 방법

이론/모형

성능/효과

참고문헌 (17)

이 논문을 인용한 문헌

관련 콘텐츠

원문 보기

원문 URL 링크

오픈액세스(OA) 유형

연관된 기능

이 논문과 함께 이용한 콘텐츠

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

선택된 텍스트

AI 본문요약
AI-Helper