Abstract
The focus in this paper is set on the improvement of the numerical efficiency of a fuzzy stochastic structural collapse simulation. The deterministic computation is performed with an FE-model taking into account large deformations, contact phenomena and non-linear behavior of the material. Structural parameters have to be specified on the basis of rare, vague and imprecise information. This is taken into account with the aid of uncertainty model fuzzy randomness. A substantial reduction of the computational effort is achieved by approximating structural responses with a neural network following the response surface methodology. The improved fuzzy stochastic analysis of a structural collapse is demonstrated by a moderate complex structural collapse example.
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