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In such cases, the interval method is a viable alternative.
For this reason, the interval method was applied.
As a consequence, the proposed method can be degenerated into the pure interval method.
Non-probabilistic failure assessment curve (NPFAC) is also provided based on interval method.
Figure 5 illustrates the confidence interval method results for comparative model validation analysis.
(1999) and later on Carreras and Walker (2000) applied interval method for the same purpose.
A hybrid probabilistic and interval method for engineering problems described by a mixture of random and interval variables is presented.
A numerical example illustrating the proposed technique and its computational superiority over the interval method is included.
Based on the Chebyshev interval method (CIM), the dynamic responses of a geared transmission system with uncertain parameters are thus investigated in this paper.
A comparison of the modal interval method with the results of Monte Carlo simulation serves to validate the solutions and to identify the bounded ranges of parameters.
To further improve the accuracy, a Chebyshev fuzzy interval method (CFIM) is proposed, in which the Chebyshev polynomials is used to approximate the response functions.
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