Details
| Original language | English |
|---|---|
| Publication status | Published - 2019 |
| Externally published | Yes |
| Event | 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019 - Seoul, South Korea, Seoul, Korea, Republic of Duration: 26 May 2019 → 30 May 2019 Conference number: 13 |
Conference
| Conference | 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019 |
|---|---|
| Abbreviated title | ICASP13 |
| Country/Territory | Korea, Republic of |
| City | Seoul |
| Period | 26 May 2019 → 30 May 2019 |
Abstract
Evaluating the statistical moments of performance functions which aims at keeping the tradeoff of accuracy and efficiency is still a challenge in structure reliability analysis. This paper proposes several modified bivariate dimension reduction methods (BDRM), based on two-dimensional and one-dimensional Gauss-Hermite quadrature. Compared to the original BDRM, evaluating central moments by these modified BDRMs requires less computational effort. One numerical example is investigated, which demonstrate that two of the modified BDRMs can achieve good balance between accuracy and efficiency for statistical moment assessment.
ASJC Scopus subject areas
- Engineering(all)
- Civil and Structural Engineering
- Mathematics(all)
- Statistics and Probability
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2019. Paper presented at 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019, Seoul, Korea, Republic of.
Research output: Contribution to conference › Paper › Research › peer review
}
TY - CONF
T1 - Comparative investigations of modified bivariate dimension methods for statistical moments assessment of response
AU - Ding, Chen
AU - Xu, Jun
N1 - Conference code: 13
PY - 2019
Y1 - 2019
N2 - Evaluating the statistical moments of performance functions which aims at keeping the tradeoff of accuracy and efficiency is still a challenge in structure reliability analysis. This paper proposes several modified bivariate dimension reduction methods (BDRM), based on two-dimensional and one-dimensional Gauss-Hermite quadrature. Compared to the original BDRM, evaluating central moments by these modified BDRMs requires less computational effort. One numerical example is investigated, which demonstrate that two of the modified BDRMs can achieve good balance between accuracy and efficiency for statistical moment assessment.
AB - Evaluating the statistical moments of performance functions which aims at keeping the tradeoff of accuracy and efficiency is still a challenge in structure reliability analysis. This paper proposes several modified bivariate dimension reduction methods (BDRM), based on two-dimensional and one-dimensional Gauss-Hermite quadrature. Compared to the original BDRM, evaluating central moments by these modified BDRMs requires less computational effort. One numerical example is investigated, which demonstrate that two of the modified BDRMs can achieve good balance between accuracy and efficiency for statistical moment assessment.
UR - http://www.scopus.com/inward/record.url?scp=85126500962&partnerID=8YFLogxK
U2 - 10.22725/ICASP13.074
DO - 10.22725/ICASP13.074
M3 - Paper
T2 - 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019
Y2 - 26 May 2019 through 30 May 2019
ER -