Discussions on non-probabilistic convex modelling for uncertain problems
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Publication:2295847
DOI10.1016/j.apm.2018.01.026zbMath1480.74011arXiv1801.05755OpenAlexW2963870321MaRDI QIDQ2295847
Publication date: 17 February 2020
Published in: Applied Mathematical Modelling (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1801.05755
uncertainty analysiscorrelation analysisevaluation criterionnon-probabilistic convex modelling methods
Related Items (17)
Correlation propagation for uncertainty analysis of structures based on a non-probabilistic ellipsoidal model ⋮ Novel data-driven method for non-probabilistic uncertainty analysis of engineering structures based on ellipsoid model ⋮ Interval field model and interval finite element analysis ⋮ Some significant improvements for interval process model and non-random vibration analysis method ⋮ A single-loop method for reliability-based design optimization with interval distribution parameters ⋮ A credible interval analysis method for uncertain structures under nonprobabilistic framework ⋮ Effective correlation analysis algorithms for uncertain structures based on multidimensional parallelepiped model ⋮ Novel bootstrap-based ellipsoidal convex model for non-probabilistic reliability-based design optimization with insufficient input data ⋮ Non-probabilistic optimization model of engineering structures with dependent interval variables ⋮ Novel Nonprobabilistic Bayesian Uncertainty Quantification Method for Structures with Interval Parameters ⋮ A modified parallelepiped model for non-probabilistic uncertainty quantification and propagation analysis ⋮ A novel method for non-probabilistic convex modelling based on data from practical engineering ⋮ Non-probabilistic reliability-based topology optimization (NRBTO) scheme for continuum structures based on the parameterized level-set method and interval mathematics ⋮ An ellipsoidal Newton's iteration method of nonlinear structural systems with uncertain-but-bounded parameters ⋮ New hybrid reliability-based topology optimization method combining fuzzy and probabilistic models for handling epistemic and aleatory uncertainties ⋮ A Robust Design Optimization Method Considering Correlated Intervals ⋮ A New Interval Multi-Objective Optimization Method for Uncertain Problems with Dependent Interval Variables
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