Related references
Note: Only part of the references are listed.Active learning for structural reliability: Survey, general framework and benchmark
Maliki Moustapha et al.
STRUCTURAL SAFETY (2022)
Recovery of Cr from chrome-containing leather waste and its utilization as reinforcement along with waste spent alumina catalyst and grinding sludge in AA 5052-based metal matrix composites
Shashi P. Dwivedi et al.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING (2022)
Lightweight design of variable-angle filament-wound cylinders combining Kriging-based metamodels with particle swarm optimization
Zhihua Wang et al.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2022)
Stabil: An educational Matlab toolbox for static and dynamic structural analysis
Stijn Francois et al.
COMPUTER APPLICATIONS IN ENGINEERING EDUCATION (2021)
Adaptive approaches in metamodel-based reliability analysis: A review
Rui Teixeira et al.
STRUCTURAL SAFETY (2021)
AKOIS: An adaptive Kriging oriented importance sampling method for structural system reliability analysis
Xufang Zhang et al.
STRUCTURAL SAFETY (2020)
Reliability and reliability sensitivity analysis of structure by combining adaptive linked importance sampling and Kriging reliability method
Fuchao Liu et al.
CHINESE JOURNAL OF AERONAUTICS (2020)
Reliability analysis with stratified importance sampling based on adaptive Kriging
Sinan Xiao et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)
Structural reliability analysis via dimension reduction, adaptive sampling, and Monte Carlo simulation
Tong Zhou et al.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2020)
Global reliability sensitivity analysis by Sobol-based dynamic adaptive kriging importance sampling
Francesco Cadini et al.
STRUCTURAL SAFETY (2020)
Data-driven polynomial chaos expansion for machine learning regression
Emiliano Torre et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2019)
RBF-GA: An adaptive radial basis function metamodeling with genetic algorithm for structural reliability analysis
Jing Zhao et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2019)
Unified system reliability approach for single and group pile foundations - Theory and resistance factor calibration
Fadi Oudah et al.
COMPUTERS AND GEOTECHNICS (2019)
REIF: A novel active-learning function toward adaptive Kriging surrogate models for structural reliability analysis
Xufang Zhang et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2019)
ESC: an efficient error-based stopping criterion for kriging-based reliability analysis methods
Zeyu Wang et al.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2019)
A New Kriging-Based Learning Function for Reliability Analysis and Its Application to Fatigue Crack Reliability
Xiaodong Chai et al.
IEEE ACCESS (2019)
A robust and efficient structural reliability method combining radial-based importance sampling and Kriging
Bo Xiong et al.
SCIENCE CHINA-TECHNOLOGICAL SCIENCES (2018)
A new adaptive sequential sampling method to construct surrogate models for efficient reliability analysis
Ning-Cong Xiao et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2018)
Adaptive surrogate model with active refinement combining Kriging and a trust region method
B. Gaspar et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2017)
LIF: A new Kriging based learning function and its application to structural reliability analysis
Zhili Sun et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2017)
A Sequential Kriging reliability analysis method with characteristics of adaptive sampling regions and parallelizability
Zhixun Wen et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2016)
Model-reduction techniques for reliability-based design problems of complex structural systems
H. A. Jensen et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2016)
Assessing small failure probabilities by AK-SS: An active learning method combining Kriging and Subset Simulation
Xiaoxu Huang et al.
STRUCTURAL SAFETY (2016)
Practical Application of the Stochastic Finite Element Method
Jose David Arregui-Mena et al.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2016)
Probability and convex set hybrid reliability analysis based on active learning Kriging model
Xufeng Yang et al.
APPLIED MATHEMATICAL MODELLING (2015)
A new learning function for Kriging and its applications to solve reliability problems in engineering
Zhaoyan Lv et al.
COMPUTERS & MATHEMATICS WITH APPLICATIONS (2015)
An active learning kriging model for hybrid reliability analysis with both random and interval variables
Xufeng Yang et al.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION (2015)
An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability
F. Cadini et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2014)
A combined Importance Sampling and Kriging reliability method for small failure probabilities with time-demanding numerical models
B. Echard et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2013)
Kriging-based adaptive Importance Sampling algorithms for rare event estimation
Mathieu Balesdent et al.
STRUCTURAL SAFETY (2013)
A Novel Risk Assessment for Complex Structural Systems
Jungwon Huh et al.
IEEE TRANSACTIONS ON RELIABILITY (2011)
Assessing small failure probabilities by combined subset simulation and Support Vector Machines
J-M. Bourinet et al.
STRUCTURAL SAFETY (2011)
AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation
B. Echard et al.
STRUCTURAL SAFETY (2011)
Advanced method to estimate reliability-based sensitivity of mechanical components with strongly nonlinear performance function
Yi-min Zhang et al.
APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION (2010)
The stochastic finite element method: Past, present and future
George Stefanou
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2009)
Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions
B. J. Bichon et al.
AIAA JOURNAL (2008)
Inverse analysis method using MPP-based dimension reduction for reliability-based design optimization of nonlinear and multi-dimensional systems
Ikjin Lee et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2008)
Benefit of splines and neural networks in simulation based structural reliability analysis
L Schueremans et al.
STRUCTURAL SAFETY (2005)
Application of kriging method to structural reliability problems
I Kaymaz
STRUCTURAL SAFETY (2005)
Load factor calibration for the proposed 2005 edition of the National Building Code of Canada: Statistics of loads and load effects
FM Bartlett et al.
CANADIAN JOURNAL OF CIVIL ENGINEERING (2003)
Share Paper
