Results 1 to 10 of about 4,044,006 (282)

Improved maximum likelihood method for P-S-N curve fitting method with small number specimens and application in T-welded joint [PDF]

open access: yesScientific Reports, 2023
In fatigue data analysis, fitting accurate P-S-N curve is problematic if only a small number of specimen is available, especially to evaluate the relationship between the stress level and the standard deviation.
Wenfei Liu   +3 more
doaj   +4 more sources

A Small Sample Prediction Method for Engineering p-S-N Curve [PDF]

open access: yesXibei Gongye Daxue Xuebao, 2018
Based on Non-intrusive Polynomial Chaos method, a small sample prediction method for engineering p-S-N curve that has a medium fatigue life is proposed.
Xiaoran Liu, Qin Sun, Ke Liang
doaj   +2 more sources

Study on the P-S-N Curve of Sucker Rod Based on Three-Parameter Weibull Distribution. [PDF]

open access: yesMaterials (Basel), 2022
During the oil production process, sucker rods are subjected to cyclic alternating load. After a certain number of cycles, a sucker rod can experience fatigue failure. The number of cycles is called fatigue life (N), and the accurate relationship between maximum stress (S) and fatigue life (N) under a certain reliability (P), namely the P-S-N curve, is
Cai W, Li W, Xu J.
europepmc   +4 more sources

P-S-N Curve Description of Laser Metal Deposition Ti-6.5Al-2Zr-1Mo-1V Titanium Alloy after Duplex Annealing. [PDF]

open access: yesMaterials (Basel), 2019
Fatigue tests were conducted on standard smooth laser metal deposition (LMD) Ti-6.5Al-2Zr-1Mo-1V titanium alloy specimens under three constant-amplitude stresses. The mixed failure behaviors and the influence of internal pores on the fatigue life were discussed in detail.
Wang T, He X, Wang X, Li Y.
europepmc   +4 more sources

Life Prediction of Flexspline based on the Modified P-S-N Curve

open access: yesJixie chuandong, 2021
By using Hypermesh to mesh the harmonic reducer and utilizing Abaqus to complete its transient analysis. Based on the results of transient analysis,the position of the dangerous point of the flexspline is determined,a method of extracting and ...
Qingwen Huang, Baisheng Wu, Delin Liao
doaj   +1 more source

Theoretical Study and Application of the P-S-N Curve of Chain Plate Parts

open access: yesJixie chuandong, 2018
The chain has wide applications in engineering community. The test results and field application show that the main failure mode of the chain is fatigue fracture of the chain plate.
Sun Wen   +3 more
doaj   +1 more source

Optimization method of combined high and low cycle fatigue P-S-N curve for aero- engine materials with small size sample

open access: yesCailiao gongcheng
The P-S-N curve of high and low cycle fatigue for aero-engine materials are essential to evaluate the service life of rotor components. However, it requires extensive experimental time and high material cost.
CAI Pei   +4 more
doaj   +2 more sources

Fitting Method of Small Sample P-S-N Curve Based on Weibull Distribution

open access: yesIOP Conference Series: Materials Science and Engineering, 2021
Abstract In order to obtain the probabilistic stress-fatigue life curve of materials with small samples, a small sample P-S-N curve fitting method is proposed. This method is based on the premise that Weibull distribution can be applied to fatigue test data the method first uses the sample mean fitting to obtain the median S-N curve ...
T Huang, Z W An, Q Ma, M Q Han
openaire   +1 more source

Small Sample-Based Fatigue Reliability Analysis Using Non-Intrusive Polynomial Chaos

open access: yesIEEE Access, 2020
Based on small sample of fatigue test data, a new method to obtain p-S-N curve for fatigue reliability analysis using non-intrusive polynomial chaos (NIPC) is proposed to lower test cost.
Xiaoran Liu, Qin Sun
doaj   +1 more source

Boundedness of the Hilbert transform on Besov spaces

open access: yesKarpatsʹkì Matematičnì Publìkacìï, 2020
The Hilbert transform along curves is of a great importance in harmonic analysis. It is known that its boundedness on $L^p(\mathbb{R}^n)$ has been extensively studied by various authors in different contexts and the authors gave positive results for some
A. Maatoug, S.E. Allaoui
doaj   +1 more source

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