Results 51 to 60 of about 8,667,132 (350)
Ultra-High-Cycle Fatigue Life Prediction of Metallic Materials Based on Machine Learning
Applied Sciences, 2023 The fatigue life evaluation of metallic materials plays an important role in ensuring the safety and long service life of metal structures. To further improve the accuracy and efficiency of the ultra-high-cycle fatigue life prediction of metallic ...
Xuze Zhang +5 more
doaj +1 more source
A novel fatigue life prediction methodology based on energy dissipation in viscoelastic materials
, 2021 This paper introduces a new fatigue life prediction methodology for viscoelastic materials in the tension–tension fatigue loading region. The model was established based on the total amount of energy dissipated during fatigue loading, and offers two main
A. Movahedi-Rad +2 more
semanticscholar +1 more source
Low cycle fatigue life improvement of AISI 304 by initial and intermittent wire brush hammering [PDF]
, 2013 The effects of hammering by wire brush as a method of improving low cycle fatigue life of highly ductile austenitic stainless steel AISI 304 have been investigated through an experimental study combining imposed strain fatigue tests and assessment of ...
KHLIFI, Ammar +4 more
core +1 more source
Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan +14 more
wiley +1 more source
MetalsFretting fatigue is a specific fatigue phenomenon. Due to the complex mechanisms and multitude of influencing factors, it is still hard to predict fretting fatigue life accurately, despite there being many works on this topic.
Xin Li, Haoran Yang, Jianwei Yang
doaj +1 more source
Materials Research Express, 2020 Rubber bushing are important components in suspension of new-energy vehicles. It is of great practical engineering significance to conduct in-depth study of high temperature fatigue characteristics.
Fang Yunzhou, Zhang Honglei
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio +8 more
wiley +1 more source
Jixie qiangdu, 2023 Aiming at the problem of fatigue life prediction of aluminum alloy wheel hub, a fatigue life prediction model considering damage accumulation is proposed and tested.
WANG ZhaoHua +3 more
doaj
A deep learning-based method for predicting the low-cycle fatigue life of austenitic stainless steel
Materials Research Express, 2023 In modern engineering, predicting the fatigue life of materials is crucial for safety assessment. The relationship between fatigue life and its influencing factors is difficult to predict by traditional methods, and deep learning can achieve great power ...
Hongyan Duan +5 more
doaj +1 more source
Quantitative thermographic method for fatigue life prediction under variable amplitude loading
Fatigue & Fracture of Engineering Materials & Structures, 2022 Quantitative thermographic methodology (QTM), which takes energy dissipation as a fatigue indicator, has been successfully applied to predict the fatigue life of materials and welded joints under constant amplitude loading.
E. Feng +3 more
semanticscholar +1 more source