Browsing by Subject "fatigue"
Now showing items 1-5 of 5
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Fatigue life prediction of the additively manufactured specimen
( IOP Publishing Ltd , 2022 , Article)Additively manufactured specimens generally exhibit comparable or improved tensile properties, such as yield stress, ultimate tensile strength, and uniform elongation, compared to conventionally manufactured specimens. ... -
Mixed-methods pre-match cooling improves simulated soccer performance in the heat.
( Taylor & Francis , 2019 , Article)This investigation examined the effects of three pre-match and half-time cooling manoeuvres on physical performance and associated physiological and perceptual responses in eight University soccer players during a non-motorised ... -
Probabilistic Machine Learning for Fatigue Data
(2021 , Dataset)Probabilistic neural networks (PNNs) are used to model the fatigue of metals and to model the vibration/stress relationship in process pipework. The data used in training the network and the network architecture are provided ... -
A Reduction in Maximal Incremental Exercise Test Duration 48 h Post Downhill Run Is Associated with Muscle Damage Derived Exercise Induced Pain.
( Frontiers Media , 2017 , Article)Purpose: To examine whether exercise induced muscle damage (EIMD) and muscle soreness reduce treadmill maximal incremental exercise (MIE) test duration, and true maximal physiological performance as a consequence of exercise ... -
Using probabilistic neural networks for modeling metal fatigue and random vibration in process pipework
( John Wiley and Sons Inc , 2022 , Article)Many experiments are usually needed to quantify probabilistic fatigue behavior in metals. Previous attempts used separate artificial neural network (ANN) to calculate different probabilistic ranges which can be computationally ...