It is now known that a seemingly random irregular time series can be deterministic chaos (hereafter, chaos). However, there can be various kind of noise superimposed into signals from real systems. Other factors affecting a signal include sampling intervals and finite length of observation. Perhaps, there may be cases in which a chaotic time series is considered as noise. J. Theiler proposed a ...

Stochastic simulators are ubiquitous in many fields of applied sciences and engineering. In the context uncertainty quantification optimization, a large number simulations is usually necessary, which becomes intractable for high-fidelity models. Thus surrogate models stochastic have been intensively investigated last decade. this paper, we present novel approach to surrogating response distribu...

One of the principle issues concerning practical application steel fiber reinforced concrete (SFRC) is uncertainty related to its structural behavior, primarily caused by partially random distribution and orientation fibers in SFRC elements. This paper aims provide a better understanding how variance material properties affects flexural behavior beams. First, distributed plasticity finite eleme...

Abstract Since climate change has altered extreme precipitation and temperature patterns, further study of these patterns is essential. The examination great significance to water engineers, resources management, hydrological studies. Accordingly, this explored the nonlinear dynamic their sources governing temperatures using multifractal, shuffling, surrogating techniques, indices. data regardi...

one of the latest approaches for analyzing the coupled time series is mf-dxa. this technique has been used in many disciplines such as finance. in this paper, we have analyzed tehran stock exchange indexes by mf-dxa and have found a scaling behavior between the industrial, financial and price indexes. by surrogating, we could see that the effects of low probability events in industrial and fina...