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A stochastic analysis for the uncertain temperature characteristics of tunnel is presented.
A stochastic analysis model for the uncertain temperature characteristics of expressway embankment is presented.
Comparing the results with traditional Monte Carlo simulations, two numerical examples evidence the remarkable accuracy and effectiveness of the proposed methods to predict uncertain temperature field in engineering.
According to the smoothness property of surrogate function and fuzzy decomposition theorem, the interval bounds and membership functions of uncertain temperature response are derived, respectively.
Besides, as the basis of reliability analysis, a parameter perturbation method with small computational cost is presented for the fast prediction of uncertain temperature responses.
Based on the first-order Neumann series and random interval moment method, the interval bounds of the probabilistic characteristics of the uncertain temperature field are calculated effectively.
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This effect makes somewhat uncertain the temperature of americium and some of its properties, such as electrical resistivity.
These contradictory results made the actual effect of temperature uncertain.
The reason of the uncertain role of temperature on the thermal conductivity ratio of TiO2 nanofluids may be due to the complex mechanism of thermal conductivity of nanofluids.
The state space equations of the thermal mathematical model is derived, where both temperature and uncertain thermal characteristic parameters are considered as the state variables.
Due to the existence of uncertain parameters in the temperature field, it is imperative to adopt the approaches involving uncertainty analysis to obtain reliable results.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com