This paper proposes a hyperplane modelling technique aided polymorphic uncertainty
quantification strategy for various engineering applications. Accumulative experiences from …

In reliability assessments, it is useful to compute importance measures that provide
information on the influence of the input random variables on the probability of failure …

In this paper, a novel optimization technique is implemented to explore the effects of
considering uncertain load positions. Therefore, the integration of reliability-based design …

The term probability is essential in the domain of structural safety and yet its interpretation is,
even after more than 50 years of application, still a subject of discussion. For instance, the …

A virtual model aided non-deterministic static analysis (including linear and nonlinear
analyses) with polyphase uncertainty is presented in this paper. Within an uncertain system …

The identification of material parameters of classical guitars is particularly interesting as the
orthotropic material parameters of wood vary largely and lead to hearable differences even …

Driven colloidal particles exhibit a number of interesting nonequilibrium effects. In order to
study these effects the driving mechanisms have to be understood in detail. In this paper we …

The efficient propagation of imprecise probabilities through expensive simulators has
emerged to be one of the great challenges for mixed uncertainty quantification in …

Predicting ultimate limit states and failure mechanisms in real technical systems is essential.
This task is a real challenge because of a variety of uncertainties. The result often depends …

In this paper, we show how a possibilistic description of uncertainty arises very naturally in
statistical data analysis. In combination with recent results in inverse uncertainty propagation …