Ensemble of metamodels-assisted probability density evolution method for structural reliability analysis

Active learning for structural reliability: Survey, general framework and benchmark

(2022) Maliki Moustapha et al.   STRUCTURAL SAFETY

A new active-learning function for adaptive Polynomial-Chaos Kriging probability density evolution method

(2022) Tong Zhou et al.   APPLIED MATHEMATICAL MODELLING

A new parallel adaptive structural reliability analysis method based on importance sampling and K-medoids clustering

(2021) Zequan Chen et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Reliability analysis using adaptive Polynomial-Chaos Kriging and probability density evolution method

(2021) Tong Zhou et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A PDEM-based perspective to engineering reliability: From structures to lifeline networks

(2020) Jie Li   Frontiers of Structural and Civil Engineering

Adaptive approaches in metamodel-based reliability analysis: A review

(2020) Rui Teixeira et al.   STRUCTURAL SAFETY

An efficient and robust adaptive sampling method for polynomial chaos expansion in sparse Bayesian learning framework

(2019) Yicheng Zhou et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

An efficient reliability method combining adaptive global metamodel and probability density evolution method

(2019) Tong Zhou et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Generalized F‐discrepancy‐based point selection strategy for dependent random variables in uncertainty quantification of nonlinear structures

(2019) Junyi Yang et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING

Structural reliability analysis based on ensemble learning of surrogate models

(2019) Kai Cheng et al.   STRUCTURAL SAFETY

An adaptive divergence-based method for structural reliability analysis via multiple Kriging models

(2018) Jafar Vahedi et al.   APPLIED MATHEMATICAL MODELLING

Efficient reliability analysis based on adaptive sequential sampling design and cross-validation

(2018) Ning-Cong Xiao et al.   APPLIED MATHEMATICAL MODELLING

A novel projection outline based active learning method and its combination with Kriging metamodel for hybrid reliability analysis with random and interval variables

(2018) Jinhao Zhang et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

An active-learning algorithm that combines sparse polynomial chaos expansions and bootstrap for structural reliability analysis

(2018) Stefano Marelli et al.   STRUCTURAL SAFETY

Reliability analysis of high-dimensional models using low-rank tensor approximations

(2016) Katerina Konakli et al.   PROBABILISTIC ENGINEERING MECHANICS

A GF-discrepancy for point selection in stochastic seismic response analysis of structures with uncertain parameters

(2016) Jianbing Chen et al.   STRUCTURAL SAFETY

Probability and convex set hybrid reliability analysis based on active learning Kriging model

(2015) Xufeng Yang et al.   APPLIED MATHEMATICAL MODELLING

POLYNOMIAL-CHAOS-BASED KRIGING

(2015) Roland Schobi et al.   International Journal for Uncertainty Quantification

AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation

(2011) B. Echard et al.   STRUCTURAL SAFETY

Various approaches for constructing an ensemble of metamodels using local measures

(2010) Erdem Acar   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Nonlinear Finite-Element Analysis Software Architecture Using Object Composition

(2009) Frank McKenna et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Multiple surrogates: how cross-validation errors can help us to obtain the best predictor

(2009) Felipe A. C. Viana et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Efficient Global Reliability Analysis for Nonlinear Implicit Performance Functions

(2008) B. J. Bichon et al.   AIAA JOURNAL