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 …

The volume presents a collaboration between internationally recognized experts on anti-
optimization and structural optimization, and summarizes various novel ideas …

A basic assumption of Stochastic Finite Element Methods (SFEM) is that the spatial variation
of uncertain structural material properties can be described by random fields. Due to the lack …

The book provides a self-contained treatment of stochastic finite element methods. It helps
the reader to establish a solid background on stochastic and reliability analysis of structural …

A non-probabilistic approach for analyzing the effects of Young's modulus uncertainty on the
response of Euler–Bernoulli beams under deterministic static loads is presented. The …

This paper deals with structural response variability under spatially varying uncertainties
represented using both probabilistic and non-probabilistic models. Attention is focused on …

This paper explores the applicability of artificial neural networks (ANN) for predicting the
spread of structural response under the presence of uncertain parameters described as …

Estimation of second-order statistics allows characterizing the uncertainty associated with
the response of stochastic finite element models. Two common approaches for estimating …

This paper investigates the influence of uncertain spatially varying material properties on the
fracture behavior of structures with softening materials. Structural failure is modeled using …

The response variability of statically indeterminate beam structures caused by uncertain
material properties modeled by random fields is studied in this paper. By solving the …