Results 231 to 240 of about 4,044,006 (282)
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PROBABILISTIC SPECIMEN PROPERTY-FATIGUE LIFE MAPPING AND P-S-N CURVE FITTING
International Journal of Reliability, Quality and Safety Engineering, 2013Fitting P-S-N curve with small-size sample of fatigue test data is significant in engineering applications. Although several small sample-based P-S-N curve fitting methods have been developed, complexity in mathematics and/or the unrealistic assumption of the methods hinder their application seriously.
LIYANG XIE +3 more
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P-S-N curves with parameters estimated by particle swarm optimization and reliability prediction
2014 10th International Conference on Natural Computation (ICNC), 2014Abstract The probabilistic characteristics of components cant be completely expressed by the S-N curve with parameters estimated by small number of specimens. Particle Swarm Optimization (PSO) is introduced to fit parameters with the incomplete test data, which can take advantage of the entire information of the specimens to obtain the globally ...
Jinbao Zhang +3 more
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Determination of probability distribution of fatigue strength and expressions of P-S-N curves
Engineering Fracture Mechanics, 1995Abstract In the present study, new procedures are developed to determine the probability distribution of fatigue strength and the expressions of P-S-N curves. The fatigue test results of 16 Mn steel and the analysis show that the fatigue strength coefficient, the theoretical endurance limit and the fatigue strength at a given life follow the log ...
X.-L. Zheng, B. Lü, H. Jiang
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P–S–N Curve Fitting Method Based on Sample Aggregation Principle
Journal of Failure Analysis and Prevention, 2019Fatigue life tests play a central role in the design of mechanical systems, as the structural reliability estimation depends heavily on the fatigue strength of material, which need to be determined by experiments. The classical statistical analysis, however, can lead to results of limited usefulness when the number of specimens on test is small ...
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A New Method to Determine the Fatigue Limit and the p-S-N Curve
Applied Mechanics and Materials, 2012The performances of material fatigue can be illustrated by the S-N curve, the p-S-N curve and the fatigue limit, which are very important to engineering and the mechanical design. Recently, the author proposed a new method to determine a conditional probability density distribution surface(CPDDS) of the material, and the surface can reflects most ...
Jian Ming Zhai, Xiao Yang Li
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P–S–N curves fitting method of small samples obeying Weibull distribution
Fatigue & Fracture of Engineering Materials & StructuresAbstractA three‐parameter Weibull small sample aggregation method is proposed to address the problem of small sample fatigue data in practical engineering. First, based on the empirical assumption that the shape parameter is a constant and data equivalent conversion and aggregation, the small sample fatigue life data are converted into “equivalent ...
Jiaxin Song +5 more
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Backwards statistical inference method for P–S–N curve fitting with small-sample experiment data
International Journal of Fatigue, 2014Abstract Based on the failure trajectory concept and backwards statistical inference technique, experimental programs are designed to fit P–S–N curve with a small number of test data. Underlying the program is a method to convert fatigue lives tested at different cyclic stress levels into the equivalent lives at an arbitrary stress level, by which a ...
Liyang Xie +3 more
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International Journal of Fatigue, 2020
Abstract To increase the prediction accuracy of small-number sample life data, improved backward statistical inference approach (ISIA) was formulated using the modified distribution coefficients while fitting the fatigue probabilistic S-N (P-S-N) curve.
Cunhai Li +4 more
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Abstract To increase the prediction accuracy of small-number sample life data, improved backward statistical inference approach (ISIA) was formulated using the modified distribution coefficients while fitting the fatigue probabilistic S-N (P-S-N) curve.
Cunhai Li +4 more
openaire +1 more source

