The theory of fuzzy stochastic processes
Fuzzy Sets and Systems
Simulation and the Monte Carlo Method
Simulation and the Monte Carlo Method
Numerical simulation of RC structures with textile reinforcement
Computers and Structures
Engineering computation under uncertainty - Capabilities of non-traditional models
Computers and Structures
Two-stage fuzzy stochastic programming with Value-at-Risk criteria
Applied Soft Computing
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The reliability of civil engineering structures is time-dependent. By means of strengthening it is possible to improve the load-bearing capacity and serviceability of structures and simultaneously to increase structural reliability. In this paper, we focus on the time-dependent reliability assessment of RC structures strengthened by textile-reinforced fine-grade concrete layers. The paper starts with a short introduction concerning textile strengthening of RC structures and the underlying mechanical model. The uncertain material parameters of textile-strengthened structures are then investigated. The uncertain parameters are quantified as fuzzy variables or fuzzy random variables. In order to take account of the latter in the assessment of the time-dependent reliability a new fuzzy probabilistic safety concept is presented. The fuzzy adaptive importance sampling (FAIS) method is introduced. The algorithm is demonstrated with an example. The uncertainty of the input parameters is comprehensively reflected in the uncertainty of the computed fuzzy reliability index. The assessment of the uncertain results is discussed.