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Practice for Statistical Analysis of Linear or Linearized Stress-Life (S-N) and Strain-Life (-N) Fatigue Data
Mapping Intimacies
◽
10.1520/e0739-91r98
◽
1998
◽
Cited By ~ 3
Author(s):
Keyword(s):
Statistical Analysis
◽
Fatigue Data
Download Full-text
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References
Statistical Analysis of Fatigue Data
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10.1520/stp43998s
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2009
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pp. 45-45-14
Author(s):
Robert Plunkett
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Statistical Analysis of Coiled Tubing Fatigue Data
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2009
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American society for testing and materials. A Guide for Fatigue Testing and the Statistical Analysis of Fatigue Data. (ASTM Special Technical Publication No. 91-A, Second Edition.) 1964, 83 S. Preis $ 5,-, Mitglieder $ 4,?
Materials and Corrosion
◽
10.1002/maco.19660170723
◽
1966
◽
Vol 17
(7)
◽
pp. 640-640
Keyword(s):
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◽
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◽
Technical Publication
◽
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Elevated-temperature, strain-controlled fatigue data on Type 304 stainless steel. A compilation, multiple linear regression model, and statistical analysis
10.2172/7213461
◽
1976
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D Diercks
◽
D Raske
Keyword(s):
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◽
Statistical Analysis
◽
Elevated Temperature
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Linear Regression
◽
Multiple Linear Regression Model
◽
304 Stainless Steel
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Fatigue Data
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Type 304
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Type 304 Stainless Steel
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Definitions of Terms Relating to Fatigue Testing and the Statistical Analysis of Fatigue Data; Replaced by E 1150
10.1520/e0206
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1987
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Author(s):
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Statistical Analysis
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A practical method for statistical analysis of strain–life fatigue data
International Journal of Fatigue
◽
10.1016/s0142-1123(02)00119-6
◽
2003
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C Williams
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Statistical analysis of uniaxial tensile and fatigue data of Ti-685 alloy at different temperatures
Forces in Mechanics
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10.1016/j.finmec.2021.100046
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2021
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A general regression model for statistical analysis of strain–life fatigue data
Materials Letters
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10.1016/j.matlet.2008.04.015
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2008
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Practice for Statistical Analysis of Linear or Linearized Stress-Life (S-N) and Strain-Life (-N) Fatigue Data
10.1520/e0739-91r04e01
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Statistical Analysis
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Practice for Statistical Analysis of Linear or Linearized Stress-Life (S-N) and Strain-Life (-N) Fatigue Data
10.1520/e0739-91r04
◽
2004
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Keyword(s):
Statistical Analysis
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Fatigue Data
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