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 …

This article presents a critical review of the state-of-the-art in the field of bridge network
performance analysis, reliability assessment, maintenance management and optimisation …

sections dealing with fuzzy functions and fuzzy random functions are certain to be of special
interest. The reader is expected to be in command of the knowledge gained in a basic …

The generation of sample functions of stochastic fields or processes is a prerequisite to use
the Monte Carlo method in stochastic mechanics and structural reliability analysis. When it …

Some widely used methodologies for simulation of non-Gaussian processes rely on
translation process theory which imposes certain compatibility conditions between the non …

Based on the mesoscale WRF (Weather Research Forecast) and LES (Large Eddy
Simulation), an integrated numerical simulation framework aiming to resolve typhoon wind …

We present a consistent, physically based theory for the wake meandering phenomenon,
which we consider of crucial importance for the overall description of wind turbine loadings …

The most appropriate statistical technique to estimate a peak pressure coefficient from wind
tunnel data is not a settled issue. The lack of a standard acceptable method can lead to …

A third order Hermite polynomial PDF model is adapted from the literature and investigated
as a robust model to represent fluctuating pressures over the surface of low-rise buildings …

Mathematical justifications are given for a Monte Carlo simulation technique based on
memoryless transformations of Gaussian processes. Different types of convergences are …