Engineering Mechanics

Proceedings Vol. 25 (2019)

ENGINEERING MECHANICS 2019

Copyright © 2019 Institute of Thermomechanics of the Czech Academy of Sciences, Prague

 

Krejsa M., Koktan J., Brožovský J., Janas P., Krejsa V.:
pages 207 - 210, full text

Probabilistic methods allow better account of the randomness of input quantities in the design process and the reliability assessment. These computing approaches are currently enjoying an increasing popularity in civil engineering practice. New probabilistic procedures have been developing and implementing in commercial software. The main disadvantage is the inaccurate estimate of the resulting probability of failure and the high demands on computing technology and machine time. The presented DOProC method uses optimized numerical integration to calculate the probability of failure. The main improvement of this method is an increase in the accuracy of calculating the probability of failure by modification of the basic algorithm and reduction of computation time using parallelization. First experiences are gained in using the DOProC method on supercomputers. Probabilistic modeling and prediction of fatigue damage is one of the fields where the DOProC method is advantageously utilized and applied.

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