Fatigue life uncertainty prediction using the Monte Carlo and Latin hypercube sampling techniques under uniaxial and multiaxial cyclic loading. (July 2022)

• Record Type: Journal Article
• Authors: Karolczuk, Aleksander; Kurek, Marta
• Is Part Of: International journal of fatigue. Volume 160(2022)
• Publication Date: 2022-07
• Subjects: Multiaxial fatigue criteria -- Monte Carlo -- Latin Hypercube -- Fatigue life prediction -- 16Mo3 steel -- Uncertainty prediction; Materials -- Fatigue -- Periodicals; Materials -- Fatigue; Periodicals; 620.1122
• DOI: 10.1016/j.ijfatigue.2022.106867
• Languages: English
• ISSNs: 0142-1123

Abstract

Highlights: Results of new fatigue tests on pressure vessel 16Mo3 steel are presented. Monte-Carlo and Latin hypercube methods are used for life uncertainty prediction. The Latin hypercube sampling technique is less effective than Monte Carlo. Abstract: The estimation of uncertainty in fatigue life prediction is a decision-making factor in structural design. The problem is specific in the case of multiaxial loading owing to the complex process involved in life prediction. Numerical algorithms are often required to narrow our choice of uncertainty estimation to stochastic sampling. The Monte Carlo technique is often substituted by Latin hypercubes to reduce the computational cost. However, its effectiveness in the uncertainty of life prediction under multiaxial loading has not been validated. To bridge this gap, these two sampling techniques are tested and compared with the application of several stress-based models to the new results of the experimental test on 16Mo3 steel.