The paper is focused on probabilistic assessment and sensitivity analysis of existing prestressed concrete bridge using surrogate model in form Polynomial Chaos Expansion (PCE). was selected the framework European Project INTERREG AUSTRIA-CZECH REPUBLIC "TCZ190 SAFEBRIDGE" advanced numerical bridges represented by non-linear finite element model. In this study, PCE created, which represents ver...

performing a probabilistic study rather than a determinist one is a relatively easy way to quantify the uncertainty in an engineering design. due to the complexity and poor accuracy of the statistical moment methods, the monte carlo simulation (mcs) method is wildly used in an engineering design. in this work, an mcs-based reliability analysis was carried out for the stability of the chain pill...

To overcome the limitations of existing variance-based methods for Probabilistic Sensitivity Analysis (PSA) in design under uncertainty, a new PSA approach based on the concept of relative entropy is proposed. The relative entropy based method evaluates the impact of a random variable by measuring the divergence between two probability density functions of a response. The method can be applied ...

Probabilistic Models are a natural framework for describing the stochastic relation1 ships between variables in a system to perform inference tasks, such as estimating 2 the probability of a specific set of conditions or events. In application it is often 3 appropriate to perform sensitivity analysis on a model, for example, to assess the 4 stability of analytical results with respect to the go...

Recognition and classification of Power Quality Distorted Signals (PQDSs) in power systems is an essential duty. One of the noteworthy issues in Power Quality Analysis (PQA) is identification of distorted signals using an efficient scheme. This paper recommends a Time–Frequency Analysis (TFA), for extracting features, so-called "hybrid approach", using incorporation of Multi Resolution Analysis...