Local explicit interval fields for non-stationary uncertainty modelling in finite element models

Interval fields have been introduced to model spatial uncertainty in Finite Element Models when the stochastic resolution of available data is too limited build representative probabilistic models. However, current interval modelling techniques are according state-of-the-art potential, as they homogenise uncertain parameters globally defined parameters. Hence, these inherently unable represent local uncertainty. In practice, variations (non-stationary uncertainty) often occur, e.g., through effects manufacturing processes. This paper presents a novel method explicit fields, that furthermore less computationally demanding and conservative than global fields. The presented this based on concept develops an alternative approach for commonly applied inverse distance weighting generation basis functions. includes three case studies compare with method. obtained results discussed from numerical application point view show effectiveness efficiency proposed methods.