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Efficient Estimation Methods for the QR Distribution with Type-II Censored Data: An Empirical Validation on Lung Cancer Prognosis. [PDF]
Ramzan Q, Amin M, Alghamdi S, Alharbi R.
europepmc +1 more source
Experimental Comparison of Elastomeric Materials for Hydraulic Seal Durability Under Reciprocating Conditions. [PDF]
Kumar V, Elen M.
europepmc +1 more source
Prediction of remaining useful life for electronic equipment based on online PINN. [PDF]
Han F, Mo B.
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Lifetime predictions for resin-based composites using cyclic and dynamic fatigue
Journal of Biomedical Materials Research Part B, 2001Because dental restorative materials undergo fatigue in use, testing is often performed in the laboratory to evaluate material responses to cyclic loading. The purpose of this study was to compare the lifetime predictions resulting from two methods of fatigue testing: dynamic and cyclic fatigue.
John I Mccool, Kenneth G Boberick
exaly +4 more sources
Analysis of fatigue data for lifetime predictions for ceramic materials
Journal of Materials Science, 1978Accuracy in data analysis is of utmost importance because lifetime predictions are extremely sensitive to experimental uncertainty in the crack growth parameters. The limitations of the conventional data reduction techniques used for analysing static and dynamic fatigue data are reviewed and new, statistical methods of data reduction that offer ...
K Jakus, J E Ritter, Ritter J E
exaly +3 more sources
The predictions and applications of fatigue lifetime in alumina and zirconia ceramics
International Journal of Fatigue, 2004Abstract The lifetime prediction of ceramics has been discussed on the basis of the relation between the stress intensity factor KI and the crack velocity V. In this paper, the effects of both cyclic loading and water environment on the KI–V characteristics were studied by the crack growth tests using the double torsion method under static and cyclic
Zhongqin Lin
exaly +3 more sources
Chairside CAD/CAM materials. Part 3: Cyclic fatigue parameters and lifetime predictions
Dental Materials, 2018OBJECTIVES Chemical and mechanical degradation play a key role on the lifetime of dental restorative materials. Therefore, prediction of their long-term performance in the oral environment should base on fatigue, rather than inert strength data, as ...
Michael Wendler +2 more
exaly +2 more sources
This paper proposes a rapid fatigue lifetime assessment approach to deal with notched components undergoing multiaxial loading. The modus operandi consists of calculating an effective quantity of the strain energy density nearby the crack initiation site
R. Branco +6 more
semanticscholar +2 more sources

