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A reliability-based design is performed to determine the probabilistic tunnel pressure for a target reliability index when different COVs of random variables are considered.
An analytical technique is developed to determine the probabilistic characteristics: i.e., the response of the structure as the expected value, the covariance, the cumulants, the characteristic function and the probability density function of the response.
In order to determine the probabilistic characteristics (i.e., means and standard deviations) of the extremities of structural natural frequencies, an extended unified interval stochastic sampling (X-UISS) method is implemented for the purpose of effective hybrid uncertain free vibration analysis.
This paper presents a predictive method based on the theories of continuum damage mechanics and mechanics of micro-crack development, and numerical simulation to determine the probabilistic fragment size distribution and the launch distances.
However, it is often difficult or computationally expensive to determine the probabilistic distributions of uncertain factors in many engineering problems [17].
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A Markov chain Monte Carlo (MCMC) algorithm has been reported which is capable of determining the probabilistic orientation of two-fibre populations from high angular resolution diffusion-weighted data (HARDI).
The algorithm determines the probabilistic transmission rates and the problem is posed as a linear optimization problem.
In conclusion, the scheduling algorithm determines the probabilistic transmission rates of the users under different scenarios which can be calculated at the beginning of each scheduling period, and then the users randomly access the network using the calculated probabilities.
A variety of the homogenization methods is collected here and contrasted to determine the basic probabilistic characteristics of the CFRP composite in a presence of Gaussian uncertainty in its components material characteristics.
The program MODELTEST 3.07 [ 55] was used to determine the best probabilistic model of DNA sequence evolution using the Akaike Information Criterion.
The mean positions of the boundary sulci from the seven subjects were determined and used to determine the final "probabilistic" ROI boundaries [ 8].
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