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Fatigue-life predictions on microcomputers

Computer-Aided Design, 1987
This paper presents a fatigue-life prediction program which is written on an IBM PC computer. The main purpose of the computer program is to provide designers and engineers with a fatigue-life prediction program which encompasses the current state of the art in fatigue.
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Fatigue Life Prediction of Structures

1994
Fatigue life prediction problems are discussed from the viewpoint of probabilistic mechanics of solids and structures. A survey of random factors in damage and fracture is presented with a special emphasis on the statistical scatter of mechanical properties of materials and/or structural components.
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Fatigue life prediction of sintered steels

Powder Metallurgy, 1999
Low cycle fatigue damage of a sintered alloy was studied by comparing experimental results with those obtained from a model suggested in the literature, which considers the effect of non-zero mean strain on life prediction. Specimens of sintered Fe–C–Cu alloy with two different porosities were used.
E.S. Palma, A. Cagnoni
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Physics-guided machine learning frameworks for fatigue life prediction of AM materials

International Journal of Fatigue, 2023
Lanyi Wang   +4 more
semanticscholar   +1 more source

Fatigue life prediction of metallic materials considering mean stress effects by means of an artificial neural network

, 2020
The mean stress effect plays an important role in the fatigue life predictions, its influence significantly changes high-cycle fatigue behaviour, directly decreasing the fatigue limit with the increase of the mean stress.
J. Barbosa   +3 more
semanticscholar   +1 more source

Prediction of thermal fatigue life of ceramics

Journal of Materials Science, 1978
On the assumption that the thermal fatigue life of ceramics is determined mainly by the duration over which a crack reaches a small critical length, a prediction of the life was made by application of fracture mechanics to ceramics based on subcritical crack growth. Approximated formulae, such asN/N′≃(ΔT N′ /ΔT
N. Kamiya, O. Kamigaito
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A novel machine learning method for multiaxial fatigue life prediction: Improved adaptive neuro-fuzzy inference system

International Journal of Fatigue, 2023
Jian-Xiong Gao   +3 more
semanticscholar   +1 more source

MFLP-PINN: A physics-informed neural network for multiaxial fatigue life prediction

European Journal of Mechanics. A, Solids, 2023
Gao-Yuan He   +2 more
semanticscholar   +1 more source

Fatigue life prediction of ceramic-matrix composites

Aircraft Engineering and Aerospace Technology, 2018
Purpose This paper aims to predict fatigue life and fatigue limit of fiber-reinforced ceramic-matrix composites (CMCs) with different fiber preforms, i.e. unidirectional, cross-ply, 2D-, 2.5D- and 3D-woven, at room and elevated temperatures. Design/methodology/approach Under cyclic loading, matrix multicracking and interface debonding occur upon ...
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