The stochastic finite element method: past, present and future
G Stefanou - Computer methods in applied mechanics and …, 2009 - Elsevier
A powerful tool in computational stochastic mechanics is the stochastic finite element
method (SFEM). SFEM is an extension of the classical deterministic FE approach to the …
method (SFEM). SFEM is an extension of the classical deterministic FE approach to the …
[HTML][HTML] Static, free vibration and buckling analysis of isotropic and sandwich functionally graded plates using a quasi-3D higher-order shear deformation theory and a …
In this paper the authors derive a higher-order shear deformation theory for modeling
functionally graded plates accounting for extensibility in the thickness direction. The explicit …
functionally graded plates accounting for extensibility in the thickness direction. The explicit …
Non-parametric simulation of non-stationary non-gaussian 3D random field samples directly from sparse measurements using signal decomposition and Markov …
With the ever-growing computational power of personal computers over the past few
decades, stochastic simulation of spatially varying three-dimensional (3D) quantities has …
decades, stochastic simulation of spatially varying three-dimensional (3D) quantities has …
Free vibration analysis of functionally graded shells by a higher-order shear deformation theory and radial basis functions collocation, accounting for through-the …
This paper deals with free vibration problems of functionally graded shells. The analysis is
performed by radial basis functions collocation, according to a higher-order shear …
performed by radial basis functions collocation, according to a higher-order shear …
[图书][B] Mechanics of functionally graded material structures
IE Elishakoff, D Pentaras, C Gentilini - 2015 - books.google.com
Mechanics of Functionally Graded Material Structures is an authoritative and fresh look at
various functionally graded materials, customizing them with various structures. The book is …
various functionally graded materials, customizing them with various structures. The book is …
Simulating nonstationary non-Gaussian vector process based on continuous wavelet transform
In the present study, we propose a new iterative algorithm based on discretized continuous
wavelet transform (CWT) to simulate nonstationary non-Gaussian vector process for …
wavelet transform (CWT) to simulate nonstationary non-Gaussian vector process for …
[HTML][HTML] Machine learning aided static structural reliability analysis for functionally graded frame structures
A novel machine learning aided structural reliability analysis for functionally graded frame
structures against static loading is proposed. The uncertain system parameters, which …
structures against static loading is proposed. The uncertain system parameters, which …
Machine learning based stochastic dynamic analysis of functionally graded shells
This paper presents stochastic dynamic characterization of functionally graded shells based
on an efficient Support Vector Machine assisted finite element (FE) approach. Different shell …
on an efficient Support Vector Machine assisted finite element (FE) approach. Different shell …
Machine learning aided stochastic structural free vibration analysis for functionally graded bar-type structures
This paper presents a machine learning aided stochastic free vibration analysis for
functionally graded (FG) bar-type structures through finite element method (FEM). The …
functionally graded (FG) bar-type structures through finite element method (FEM). The …
Assessment of spectral representation and Karhunen–Loève expansion methods for the simulation of Gaussian stochastic fields
G Stefanou, M Papadrakakis - Computer methods in applied mechanics …, 2007 - Elsevier
From the wide variety of methods developed for the simulation of Gaussian stochastic
processes and fields, two are most often used in applications: the spectral representation …
processes and fields, two are most often used in applications: the spectral representation …