Searched for: subject%3A%22Fatigue%255C+strength%22
(1 - 10 of 10)
document
Tognan, A. (author), Patanè, Andrea (author), Laurenti, L. (author), Salvati, Enrico (author)
Accurate fatigue assessment of material plagued by defects is of utmost importance to guarantee safety and service continuity in engineering components. This study shows how state-of-the-art semi-empirical models can be endowed with additional defect descriptors to probabilistically predict the occurrence of fatigue failures by exploiting...
journal article 2024
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Macallister, N. (author), Chellu, Sreyas (author), Riemslag, A.C. (author), Scott, S.P. (author), Ayas, C. (author), Popovich, V. (author), Becker, Thorsten Hermann (author)
Sub-size specimen testing offers a potentially elegant solution to accompany fatigue life assessments in determining vital fatigue parameters such as effective fatigue crack growth propagation thresholds (ΔK<sub>th,eff</sub>). Additively manufactured parts stand to benefit from this in potential build-by-build fatigue validation without...
journal article 2023
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Shi, Z. (author), Su, Qingtian (author), Kavoura, Dr. Florentia (author), Veljkovic, M. (author)
To investigate the fatigue performance and fatigue damage process of the Orthotropic Steel Deck (OSD) - Ultra-High Performance Concrete (UHPC) composite bridge deck, a two-span continuous full-scale specimen was designed and tested under cyclic loading. Test results showed that the fatigue cracks firstly initiated near the lower part of the weld...
journal article 2023
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Wei, Xiaolu (author), van der Zwaag, S. (author), Jia, Zixi (author), Wang, Chenchong (author), Xu, W. (author)
In this research a machine learning model for predicting the rotating bending fatigue strength and the high-throughput design of fatigue resistant steels is proposed. In this transfer prediction framework, machine learning models are first trained to estimate tensile properties (yield strength, tensile strength and elongation) on the basis of...
journal article 2022
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Liu, Rong (author), Zhao, Hao (author), Feng, Zhiqiang (author), Xin, H. (author), Liu, Yuqing (author)
The headed stud connectors are widely used in a variety of innovative engineering applications of the infrastructure sector. The fatigue life of headed studs is significantly affected by the residual stress introduced from welding procedures. It is very important to develop a reliable numerical method to predict the fatigue performance of...
journal article 2020
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van der Hoeven, W. (author), Schra, L. (author)
The influence of sheet thickness (2 mm and 10 mm) and the influence of laminating (5x2 ram) on the fatigue crack growth properties of the aluminium alloy AL 7010-T 73651 were investigated. Both constant amplitude loading and flight simulation loading were applied. All 2 mm and 10 mm thick sheets were machined from a 150 mm thick plate, i.e....
report 1981
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't Hart, W.G.J. (author), Nederveen, A. (author)
Constant amplitude and flight simulation fatigue tests have been carried out on sulphuric acid, chromic acid and phosphoric acid anodized specimens. A comparison was made with the fatigue behaviour of bare sheet material. Before fatigue testing the fracture strain of the anodic layers was determined.
report 1980
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't Hart, W.G.J. (author)
report 1977
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Schijve, J. (author), Jacobs, F.A. (author), Tromp, P.J. (author)
Flight-simulation tests based on a standardized gust load spectrum were carried out in normal air, very dry air and salt water. Specimen thicknesses were t = 2 mm and t = 10 mm, mean stress in flight was 70 or 55 MN/m². In all cases a significant effect of the environment was found. Fatigue lives for t = 10 ram were much shorter than for t = 2...
report 1976
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't Hart, W.G.J. (author)
Some residual strength tests have been performed on 610 mm wide centre-cracked panels at a temperature of -50 C, in order to examine whether equal Ke values are obtained as for 300 mm wide panels, tested at -50°C. This work is a continuation of the residual strength investigation reported in NLR TR 76103 and NLR TR 75168.
report 1976
Searched for: subject%3A%22Fatigue%255C+strength%22
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