An efficient method for estimating time‐dependent failure possibility by combining adaptive Kriging with adaptive truncated fuzzy simulation
DOI10.1002/nme.6854zbMath1530.74081OpenAlexW3205811693MaRDI QIDQ6061721
Zhen-Zhou Lü, Wanying Yun, Kaixuan Feng, Unnamed Author
Publication date: 31 October 2023
Published in: International Journal for Numerical Methods in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/nme.6854
fuzzy uncertaintyaircraft wingfour-bar function generator mechanismfuzzy standard spacelargest safety hypercubemissile rudder surface
Fracture and damage (74R99) Reliability and life testing (62N05) Numerical and other methods in solid mechanics (74S99)
Cites Work
- The mean value of a fuzzy number
- Fuzzy sets as a basis for a theory of possibility
- Fuzzy structural analysis using \(\alpha\)-level optimization
- Reliability-based structural optimization using neural networks and Monte Carlo simulation
- Fuzzy arithmetic and solving of the static governing equations of fuzzy finite element method.
- An overview of membership function generation techniques for pattern recognition
- An active learning method combining kriging and accelerated chaotic single loop approach (AK-ACSLA) for reliability-based design optimization
- Global sensitivity analysis using support vector regression
- Time-dependent failure possibility analysis under consideration of fuzzy uncertainty
- Fuzzy interval perturbation method for uncertain heat conduction problem with interval and fuzzy parameters
This page was built for publication: An efficient method for estimating time‐dependent failure possibility by combining adaptive Kriging with adaptive truncated fuzzy simulation
