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Nehi and Hamidi [26] also discussed the drawbacks of the KBW algorithm in [24], proposed a revised algorithm (RKBW) and extended the revised algorithm to deal with the general interval bilevel linear case.
The revised algorithm can be implemented with simple logic circuits.
The objectives in this paper include verification of the convergence for the revised algorithm and evaluation of the fatigue life calculation by use of the revised algorithm.
A higher convergence between experimental and calculated fatigue life is obtained for the revised algorithm than for the classical one.
It is shown that the revised algorithm provides a sole solution under the proportional and non-proportional loading by application of the Matake and Papadopoulos criteria.
In contrast to the classical algorithm, which assumes that material parameters in the fatigue criterion are constant, the revised algorithm relates the values of these parameters to the number of cycles to failure.
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The simulations using the revised algorithms are more than an order of magnitude faster than the corresponding CPU-only simulations, even for a low-end (double-precision) graphics card.
CDC notifies US state and local health departments when panel physicians in a specific country begin implementing this revised algorithm.
This paper reports the results of a study into a revised algorithm applied to the fatigue life calculation under cyclic multiaxial proportional and non-proportional loading.
In this paper, a shortcoming of Keshavarz and Khorram's algorithm is pointed out and a revised algorithm is proposed to solve the problem.
Staehle and Mäder [14] proposed a K R revised algorithm which considers state-dependant blocking probabilities to obtain a good approximation of uplink blocking probabilities.
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