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As with every physical system, there are number of noise factors cause uncertainty in the performance.
When the parameters of the time series are estimated from data, the uncertainty in the performance indices must be investigated using a fundamentally different approach.
Explicit attention is paid to the required numerical tools and their application to analyze consequences of uncertainty in the performance of engineered cropping systems.
This paper presents an approach for reducing the uncertainty in the performance assessment of ship structures by updating the wave-induced load effects with the data acquired from structural heath monitoring (SHM).
When the system parameters are known, or are treated as know uncertainty in the performance indices can be quantified through calculation of exact confidence intervals using results from mathematical statistics.
This paper puts forward a method to design reinforced concrete (RC) bridge columns to achieve a uniform risk of failure, as embraced by the building design community, which is desirable in practice to reduce the uncertainty in the performance of bridges across regions relative to the variable risk resulting from the application of current design codes.
Similar(49)
Uncertainties in the performance of engineering systems arise due to idealizations of geometry, material behavior, and loading history.
We apply concentration-of-measure inequalities to the quantification of uncertainties in the performance of engineering systems.
A major limitation of such deterministic approach is that the uncertainties in the performance related decision variables cannot be included in the parameters optimization process.
Stochastic potable water demand generated low uncertainties in the performance evaluation of rainwater harvesting systems; therefore, uniform distribution could be used in computer simulation.
Furthermore, difficulties arise when uncertainties in the performance of individual, interconnected systems, lead to significant risks of cascading modes of failure.
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