Single-point likelihood method to determine a generalized S-N surface


Xiong, J.J. and Shenoi, R.A. (2006) Single-point likelihood method to determine a generalized S-N surface. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 220, (10), 1519-1530. (doi:10.1243/09544062JMES127).

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Original Publication URL: http://dx.doi.org/10.1243/09544062JMES127

Description/Abstract

This paper outlines a new technique to address the paucity of data in determining a generalized S-N surface based on fatigue reliability design. A new single-point likelihood method (SPLM) is presented for estimating a P-S-N curve, dealing with small sample numbers of data. A confidence level formula for P-S-N curve estimated by SPLM is also given. The concepts are then applied for the determination of a generalized S-N surface. Finally, contrast tests for the P-S-N curve are conducted to examine the presented method, demonstrating the practical and economic use of the proposed technique. It is shown from the results that the P-S-N curve can be obtained realistically using small sample numbers and that the required number of test specimens in this case is less than those for the conventional method.

Item Type: Article
ISSNs: 0954-4062 (print)
Related URLs:
Keywords: fatigue design, P-S-N curve, reliability level
Subjects: T Technology > TC Hydraulic engineering. Ocean engineering
T Technology > TJ Mechanical engineering and machinery
V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Divisions: University Structure - Pre August 2011 > School of Engineering Sciences > Fluid-Structure Interactions
ePrint ID: 42989
Date Deposited: 10 Jan 2007
Last Modified: 28 Mar 2014 15:21
Research Funder: EPSRC
Projects:
Unknown (GR/T19285/01)
Funded by: EPSRC (GR/T19285/01)
UNSPECIFIED to UNSPECIFIED
Contact Email Address: r.a.shenoi@ship.soton.ac.uk
URI: http://eprints.soton.ac.uk/id/eprint/42989

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