Structural response variability under spatially dependent uncertainty: Stochastic versus interval model. (October 2015)

• Record Type: Journal Article
• Authors: Sofi, Alba
• Is Part Of: Probabilistic engineering mechanics. Volume 42(2015:Oct.)
• Page Start: 78
• Page End: 86
• Publication Date: 2015-10
• Subjects: Uncertain material/geometric properties -- Spatial variability -- Random field -- Interval field -- Variability response function -- Lower bound and upper bound -- Interval rational series expansion; Engineering -- Statistical methods -- Periodicals; Mechanics, Applied -- Statistical methods -- Periodicals; Probabilities -- Periodicals; Ingénierie -- Méthodes statistiques -- Périodiques; Mécanique appliquée -- Méthodes statistiques -- Périodiques; Probabilités -- Périodiques; 620.100727
• DOI: 10.1016/j.probengmech.2015.09.001
• Languages: English
• ISSNs: 0266-8920

Abstract

Abstract: This paper deals with structural response variability under spatially varying uncertainties represented using both probabilistic and non-probabilistic models. Attention is focused on Euler–Bernoulli beams with uncertain flexibility subjected to deterministic static loads. Within the probabilistic framework, the uncertain flexibility is modeled as a random field and the well-established concept of variability response function is adopted to derive spectral- and probability-distribution-free upper bounds on the response variability. Within the non-probabilistic context, the uncertain property is represented resorting to a recently proposed interval field model able to quantify the dependency between adjacent values of an interval uncertainty that cannot differ as much as values that are further apart. For statically determinate beams, the interval displacement field and the associated bounds are evaluated analytically by using a Green's function formulation. Conversely, for statically indeterminate beams, approximate explicit expressions of the bounds of the interval response are derived by applying a finite difference based procedure. Numerical results present consistent comparisons between response variability under random and interval uncertainty for both statically determinate and indeterminate beams. Highlights: Response variability of Euler–Bernoulli beams with uncertain flexibility is analyzed. The uncertain flexibility is modeled both as a random and an interval field. Within the stochastic context the variability response function approach is used. Bounds of interval displacement are derived via analytical and numerical procedures. Consistent comparisons between random and interval response variability are performed.