Related references
Note: Only part of the references are listed.A new method for stochastic analysis of structures under limited observations
Hongzhe Dai et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2023)
Wind data extrapolation and stochastic field statistics estimation via compressive sampling and low rank matrix recovery methods
George D. Pasparakis et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2022)
A non-Gaussian stochastic model from limited observations using polynomial chaos and fractional moments
Ruijing Zhang et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2022)
A new perspective on the simulation of cross-correlated random fields
Hongzhe Dai et al.
STRUCTURAL SAFETY (2022)
Simulation of fully nonstationary random processes using generalized harmonic wavelets
Ding Wang et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2022)
Independent component analysis-based arbitrary polynomial chaos method for stochastic analysis of structures under limited observations
Ruijing Zhang et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2022)
A stochastic multiscale formulation for isogeometric composite Kirchhoff-Love shells
Dimitrios Tsapetis et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2021)
A novel Nested Stochastic Kriging model for response noise quantification and reliability analysis
Peng Hao et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2021)
Variance-based adaptive sequential sampling for Polynomial Chaos Expansion
Lukas Novak et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2021)
Simulating strongly non-Gaussian and non-stationary processes using Karhunen-Loeve expansion and L-moments-based Hermite polynomial model
Ming-Na Tong et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)
A unified analysis framework of static and dynamic structural reliabilities based on direct probability integral method
Guohai Chen et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)
Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark
Nora Luethen et al.
SIAM-ASA JOURNAL ON UNCERTAINTY QUANTIFICATION (2021)
Adaptive experiment design for probabilistic integration
Pengfei Wei et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2020)
Sparse representations and compressive sampling approaches in engineering mechanics: A review of theoretical concepts and diverse applications
Ioannis A. Kougioumtzoglou et al.
PROBABILISTIC ENGINEERING MECHANICS (2020)
Non-parametric simulation of non-stationary non-gaussian 3D random field samples directly from sparse measurements using signal decomposition and Markov Chain Monte Carlo (MCMC) simulation
Tengyuan Zhao et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)
Multi-level multi-fidelity sparse polynomial chaos expansion based on Gaussian process regression
Kai Cheng et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2019)
A new fractional moment equation method for the response prediction of nonlinear stochastic systems
Hongzhe Dai et al.
NONLINEAR DYNAMICS (2019)
Simulation of non-stationary non-Gaussian random fields from sparse measurements using Bayesian compressive sampling and Karhunen-Loeve expansion
Silvana Montoya-Noguera et al.
STRUCTURAL SAFETY (2019)
A novel fractional moments-based maximum entropy method for high-dimensional reliability analysis
Jun Xu et al.
APPLIED MATHEMATICAL MODELLING (2019)
Direct probability integral method for stochastic response analysis of static and dynamic structural systems
Guohai Chen et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2019)
An explicit method for simulating non-Gaussian and non-stationary stochastic processes by Karhunen-Loeve and polynomial chaos expansion
Hongzhe Dai et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)
Least squares polynomial chaos expansion: A review of sampling strategies
Mohammad Hadigol et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2018)
Polynomial chaos representation of databases on manifolds
C. Soize et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2017)
A stochastic harmonic function representation for non-stationary stochastic processes
Jianbing Chen et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2017)
Incomplete data based parameter identification of nonlinear and time-variant oscillators with fractional derivative elements
Ioannis A. Kougioumtzoglou et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2017)
Stochastic finite element analysis of composite structures based on mesoscale random fields of material properties
George Stefanou et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2017)
Simulation of multi-dimensional random fields by Karhunen-Loeve expansion
Zhibao Zheng et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2017)
A biorthogonal decomposition for the identification and simulation of non-stationary and non-Gaussian random fields
I. Zentner et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2016)
An artificial neural network approach for stochastic process power spectrum estimation subject to missing data
Liam Comerford et al.
STRUCTURAL SAFETY (2015)
Wavelet density-based adaptive importance sampling method
Hongzhe Dai et al.
STRUCTURAL SAFETY (2015)
Polynomial Chaos Expansion of a Multimodal Random Vector
C. Soize
SIAM-ASA JOURNAL ON UNCERTAINTY QUANTIFICATION (2015)
A new perspective on the solution of uncertainty quantification and reliability analysis of large-scale problems
George Stavroulakis et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2014)
Stochastic model construction of observed random phenomena
Fabrice Poirion et al.
PROBABILISTIC ENGINEERING MECHANICS (2014)
Enrichment of seismic ground motion databases using Karhunen-Loeve expansion
Irmela Zentner et al.
EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS (2012)
Stochastic identification of composite material properties from limited experimental databases, Part II: Uncertainty modelling
Loujaine Mehrez et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2012)
On the Capabilities of the Polynomial Chaos Expansion Method within SFE Analysis-An Overview
H. M. Panayirci et al.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2011)
Adaptive sparse polynomial chaos expansion based on least angle regression
Geraud Blatman et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2011)
Probabilistic models for stochastic elliptic partial differential equations
Mircea Grigoriu
JOURNAL OF COMPUTATIONAL PHYSICS (2010)
The Hysteresis Bouc-Wen Model, a Survey
Mohammed Ismail et al.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2009)
Solving elliptic problems with non-Gaussian spatially-dependent random coefficients
Xiaoliang Wan et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2009)
The stochastic finite element method: Past, present and future
George Stefanou
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2009)
Polynomial chaos representation of spatio-temporal random fields from experimental measurements
Sonjoy Das et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2009)
Construction of probability distributions in high dimension using the maximum entropy principle: Applications to stochastic processes, random fields and random matrices
Christian Soize
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING (2008)
Critical review and latest developments of a class of simulation algorithms for strongly non-Gaussian random fields
Paolo Bocchini et al.
PROBABILISTIC ENGINEERING MECHANICS (2008)
ASYMPTOTIC SAMPLING DISTRIBUTION FOR POLYNOMIAL CHAOS REPRESENTATION FROM DATA: A MAXIMUM ENTROPY AND FISHER INFORMATION APPROACH
Sonjoy Das et al.
SIAM JOURNAL ON SCIENTIFIC COMPUTING (2008)
On the construction and analysis of stochastic models: Characterization and propagation of the errors associated with limited data
Roger G. Ghanem et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2006)
Maximum likelihood estimation of stochastic chaos representations from experimental data
Christophe Desceliers et al.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING (2006)
Stochastic finite element: a non intrusive approach by regression
Marc Berveiller et al.
EUROPEAN JOURNAL OF COMPUTATIONAL MECHANICS (2006)
On the accuracy of the polynomial chaos approximation
RV Field et al.
PROBABILISTIC ENGINEERING MECHANICS (2004)
Physical systems with random uncertainties: Chaos representations with arbitrary probability measure
C Soize et al.
SIAM JOURNAL ON SCIENTIFIC COMPUTING (2004)
Parameter analysis of the differential model of hysteresis
F Ma et al.
JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME (2004)
The Wiener-Askey polynomial chaos for stochastic differential equations
DB Xiu et al.
SIAM JOURNAL ON SCIENTIFIC COMPUTING (2002)
Simulation of second-order processes using Karhunen-Loeve expansion
KK Phoon et al.
COMPUTERS & STRUCTURES (2002)
Share Paper
