A new structural reliability analysis method under non-parameterized probability box variables-Reference-Cited by-同舟云学术

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A new structural reliability analysis method under non-parameterized probability box variables

Published:2022-11 Issue:11 Volume:65 Page:
ISSN:1615-147X
Container-title:Structural and Multidisciplinary Optimization
language:en
Short-container-title:Struct Multidisc Optim

Author:

Xie Huichao,Li Jinwen,Liao Daihui

Funder

the Hunan Provincial Natural Science Foundation of China

the China Postdoctoral Science Foundation

the National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,Computer Graphics and Computer-Aided Design,Computer Science Applications,Control and Systems Engineering,Software

Link

https://link.springer.com/content/pdf/10.1007/s00158-022-03408-5.pdf

Reference44 articles.

1. Azizian M, Almeida JHS (2022) Stochastic, probabilistic and reliability analyses of internally-pressurised filament wound composite tubes using artificial neural network metamodels. Mater Today Commun 31:103627

2. Baudrit C, Dubois D, Perrot N (2008) Representing parametric probabilistic models tainted with imprecision. Fuzzy Sets Syst 159(15):1913–1928

3. Breitung K (1989) Asymptotic approximations for probability integrals. Probab Eng Mech 4(4):187–190

4. Bruns M, Paredis CJJ (2006) Numerical methods for propagating imprecise uncertainty. In: ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Pennsylvania

5. Cizelj L, Mavko B, Riesch-Oppermann H (1994) Application of first and second order reliability methods in the safety assessment of cracked steam generator tubing. Nucl Eng Des 147(3):359–368

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