Abstract: A Latin hypercube sampling method, including a reduction of spurious correlation in input data, is suggested for stochastic finite element analysis. This sampling procedure strongly improves the representation of stochastic ...

Abstract: The influence of damage on the load-carrying capacity of thin-walled steel columns with channel sections is investigated. The axial load-carrying capacity is evaluated for different profiles, and different damage magnitudes ...

Abstract: Several studies have used artificial neural networks (NNs) to estimate local or regional precipitation/rainfall on the basis of relationships with coarse-resolution atmospheric variables. None of these experiments ...