Uncertainty analysis in solid mechanics with uniform and triangular distributions using stochastic perturbation-based Finite Element Method

Tsallis entropy in dual homogenization of random composites using the stochastic finite element method

(2017) Marcin Kamiński   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING

Stochastic analysis using the generalized perturbation stable node-based smoothed finite element method

(2016) X.B. Hu et al.   ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS

A successive perturbation-based multiscale stochastic analysis method for composite materials

(2015) Sei-ichiro Sakata et al.   FINITE ELEMENTS IN ANALYSIS AND DESIGN

On the dual iterative stochastic perturbation-based finite element method in solid mechanics with Gaussian uncertainties

(2015) Marcin Kamiński   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING

Numerical solution of the Duffing equation with random coefficients

(2015) Marcin Kamiński et al.   MECCANICA

An APDM-based method for the analysis of systems with uncertainties

(2014) D. Settineri et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Transformed perturbation stochastic finite element method for static response analysis of stochastic structures

(2013) Baizhan Xia et al.   FINITE ELEMENTS IN ANALYSIS AND DESIGN

Stochastic Perturbations to Dynamical Systems: A Response Theory Approach

(2012) Valerio Lucarini   JOURNAL OF STATISTICAL PHYSICS

COMPUTING THE ASYMPTOTIC EXPANSION OF THE MEDIAN OF THE ERLANG DISTRIBUTION

(2012) Pedro Jodr´a   Mathematical Modelling and Analysis

Maximum entropy autoregressive conditional heteroskedasticity model

(2009) Sung Y. Park et al.   JOURNAL OF ECONOMETRICS

Kriging-based approximate stochastic homogenization analysis for composite materials

(2008) S. Sakata et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

The stochastic finite element method: Past, present and future

(2008) George Stefanou   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Engineering computation under uncertainty – Capabilities of non-traditional models

(2007) Bernd Möller et al.   COMPUTERS & STRUCTURES