Results 1 to 10 of about 3,276 (247)

Machine learning-based fatigue lifetime prediction of structural steels

open access: yesAlexandria Engineering Journal
Fatigue of materials stands as a prevalent cause of mechanical structure failures, which often occur suddenly, unpredictably, and catastrophically. Accurately predicting the fatigue lifespan of materials is crucial, especially given the potential for ...
Konstantinos Arvanitis   +3 more
doaj   +3 more sources

Probabilistic temporal extrapolation of fatigue damage of offshore wind turbine substructures based on strain measurements [PDF]

open access: yesWind Energy Science, 2022
Substructures of offshore wind turbines are becoming older and beginning to reach their design lifetimes. Hence, lifetime extensions for offshore wind turbines are becoming not only an interesting research topic but also a relevant option for industry ...
C. Hübler, R. Rolfes
doaj   +1 more source

Equi-biaxial loading effect on austenitic stainless steel fatigue life [PDF]

open access: yesFracture and Structural Integrity, 2016
Fatigue lifetime assessment is essential in the design of structures. Under-estimated predictions may result in unnecessary in service inspections. Conversely, over-estimated predictions may have serious consequences on the integrity of structures.
C. Gourdin   +4 more
doaj   +2 more sources

Taking into account the non-proportional loading effect on high cycle fatigue life predictions obtained by invariant-based approaches [PDF]

open access: yesMATEC Web of Conferences, 2019
Industrial structures are often subjected to multiaxial fatigue loadings. If the multiple stress signals are not synced the loading is said to be non-proportional.
Bercelli Lorenzo   +2 more
doaj   +1 more source

Investigation of Fatigue Crack Growth in Full-Scale Railway Axles Subjected to Service Load Spectra: Experiments and Predictive Models

open access: yesMetals, 2021
In this paper, a series of experimental investigations was performed on full-scale railway axles to analyze the fatigue crack growth behavior of EA4T steel under load spectrum derived from real operating conditions. The experimental results were compared
Amir Pourheidar   +3 more
doaj   +1 more source

Fatigue Lifetime Prediction of Laminated Composites a Review

open access: yesInternational Journal of Recent Technology and Engineering (IJRTE), 2020
It is evident that laminated reinforced composite are successfully prolonging the life of composites compared to particle and fiber type of reinforced composites method. The question on how these laminated composites take up the fatigue loading is crucial in order to give sound confident to industry replacing their design from metal to composites based.
Aidy Ali   +3 more
openaire   +2 more sources

From wind to loads: wind turbine site-specific load estimation with surrogate models trained on high-fidelity load databases [PDF]

open access: yesWind Energy Science, 2018
We define and demonstrate a procedure for quick assessment of site-specific lifetime fatigue loads using simplified load mapping functions (surrogate models), trained by means of a database with high-fidelity load simulations.
N. Dimitrov   +3 more
doaj   +1 more source

PREDICTION OF FATIGUE LIFETIME OF NOTCHED MEMBERS [PDF]

open access: yesFatigue & Fracture of Engineering Materials & Structures, 1979
Abstract— A simple model for the estimation of the total fatigue life of notched members is presented. The number of cycles to failure is estimated as the summation of the cyclic life spent in: (1) the initiation of a dominant fatigue crack at the notch root; (2) the very early growth of this crack within the notch plastic zone; (3) the subsequent ...
M. M. HAMMOUDA, K. J. MILLER
openaire   +1 more source

Critical length parameter of HDPE and its use in fatigue lifetime predictions

open access: yesFracture and Structural Integrity
The contribution describes the fatigue lifetime predictions of polyethylene notched specimens based on the theory of critical distance. The approach uses the line method, which averages the axial stress over the critical distance.
Kamila Kozáková   +3 more
doaj   +5 more sources

Data-Driven, Physics-Based, or Both: Fatigue Prediction of Structural Adhesive Joints by Artificial Intelligence

open access: yesApplied Mechanics, 2023
Here, a comparative investigation of data-driven, physics-based, and hybrid models for the fatigue lifetime prediction of structural adhesive joints in terms of complexity of implementation, sensitivity to data size, and prediction accuracy is presented.
Pedro Henrique Evangelista Fernandes   +6 more
doaj   +1 more source

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