Analysis of efficient interval field techniques for random field analysis with uncertain correlation length KU Leuven
The representation of uncertainties that give rise to a spatially distributed influence is still a topic of research in the nonprobabilistic approach. The authors have developed an interval field framework to deal with multiple dependent uncertainties. Recently, the interval field method was developed to deal with random field expansions with an uncertain correlation length. The base vectors of this interval field come from a number of exact ...