Neural network principles
An SQP method for general nonlinear programs using only equality constrained subproblems
Mathematical Programming: Series A and B
Prediction with Gaussian processes: from linear regression to linear prediction and beyond
Learning in graphical models
Simulation and the Monte Carlo Method
Simulation and the Monte Carlo Method
Efficient Global Optimization of Expensive Black-Box Functions
Journal of Global Optimization
The transformation method for the simulation and analysis of systems with uncertain parameters
Fuzzy Sets and Systems - Fuzzy intervals
Applied Fuzzy Arithmetic: An Introduction with Engineering Applications
Applied Fuzzy Arithmetic: An Introduction with Engineering Applications
Engineering computation under uncertainty - Capabilities of non-traditional models
Computers and Structures
Propagation of structural uncertainty to linear aeroelastic stability
Computers and Structures
A survey on approaches for reliability-based optimization
Structural and Multidisciplinary Optimization
Finite Elements in Analysis and Design
Fuzzy structural analysis based on fundamental reliability concepts
Computers and Structures
Fuzzy finite element analysis of imprecisely defined structures with fuzzy nodal force
Engineering Applications of Artificial Intelligence
Explicit frequency response functions of discretized structures with uncertain parameters
Computers and Structures
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This paper describes a response surface based optimisation technique for the calculation of envelope frequency response functions (FRFs) of imprecisely defined structures using the interval and fuzzy finite element method. The authors developed a hybrid - global optimisation and interval arithmetic - procedure for interval and fuzzy envelope FRF calculation. This hybrid approach reduces the computational cost of the analysis compared to a full global optimisation approach and reduces the conservatism on the envelope FRF compared to a full interval arithmetic approach. Still, the optimisation step is the computationally most expensive part of the algorithm. To handle industrially sized applications, a very efficient optimisation procedure is imperative. The response surface based procedure described in this paper decreases the computational cost of a fuzzy envelope FRF calculation with a factor 50 or more compared to the commonly used two-level full factorial design of experiments, while giving a comparable accuracy.