Statistical Analysis for Fatigue Data (ASTM E739-10)

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Statistical Analysis for Fatigue Data in Accordance with ASTM E739-10(2015).

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If you use this work, please cite the following references

C. Souto, V. Gomes, M. Figueiredo, J. Correia, G. Lesiuk, A. Fernandes, A. de Jesus, Fatigue behaviour of thin-walled cold roll-formed steel sections, International Journal of Fatigue 149 (2021) 106299. doi:10.1016/j.ijfatigue.2021.106299
C. Souto, V. Gomes, L. da Silva, M. Figueiredo, J. Correia, G. Lesiuk, A. Fernandes, A. de Jesus, Global-local fatigue approaches for snug-tight and preloaded hot-dip galvanized steel bolted joints, International Journal of Fatigue 153 (2021) 106486, doi:10.1016/j.ijfatigue.2021.106486

Description

Statistical analysis for fatigue data in accordance with:

ASTM E739-10(2015), Standard Practice for Statistical Analysis of Linear or Linearized Stress-Life (S-N) and Strain-Life (ε-N) Fatigue Data, ASTM International. https://doi.org/10.1520/E0739-10R15

Usage example is included.

Zitieren als

Carlos Souto (2026). Statistical Analysis for Fatigue Data (ASTM E739-10) (https://de.mathworks.com/matlabcentral/fileexchange/92885-statistical-analysis-for-fatigue-data-astm-e739-10), MATLAB Central File Exchange. Abgerufen26. Januar 2026.

Souto, C. D. S., et al. “Fatigue Behaviour of Thin-Walled Cold Roll-Formed Steel Sections.” International Journal of Fatigue, vol. 149, Elsevier BV, Aug. 2021, p. 106299, doi:10.1016/j.ijfatigue.2021.106299.

Mehrere Stile anzeigen

Souto, Carlos D. S., et al. “Global-Local Fatigue Approaches for Snug-Tight and Preloaded Hot-Dip Galvanized Steel Bolted Joints.” International Journal of Fatigue, vol. 153, Elsevier BV, Dec. 2021, p. 106486, doi:10.1016/j.ijfatigue.2021.106486.

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Version	Veröffentlicht	Versionshinweise
1.0.1	26. Apr 2023	Description update.	Herunterladen
1.0.0	25. Mai 2021		Herunterladen

MLA	Souto, C. D. S., et al. “Fatigue Behaviour of Thin-Walled Cold Roll-Formed Steel Sections.” International Journal of Fatigue, vol. 149, Elsevier BV, Aug. 2021, p. 106299, doi:10.1016/j.ijfatigue.2021.106299.
APA	Souto, C. D. S., Gomes, V. M. G., Figueiredo, M., Correia, J. A. F. O., Lesiuk, G., Fernandes, A. A., & Jesus, A. M. P. D. (2021). Fatigue behaviour of thin-walled cold roll-formed steel sections. International Journal of Fatigue, 149, 106299. Elsevier BV. Retrieved from https://doi.org/10.1016%2Fj.ijfatigue.2021.106299
BibTeX	@article{Souto_2021, doi = {10.1016/j.ijfatigue.2021.106299}, url = {https://doi.org/10.1016%2Fj.ijfatigue.2021.106299}, year = 2021, month = {aug}, publisher = {Elsevier {BV}}, volume = {149}, pages = {106299}, author = {C.D.S. Souto and V.M.G. Gomes and M. Figueiredo and J.A.F.O. Correia and G. Lesiuk and A.A. Fernandes and A.M.P. De Jesus}, title = {Fatigue behaviour of thin-walled cold roll-formed steel sections}, journal = {International Journal of Fatigue} }

MLA	Souto, Carlos D. S., et al. “Global-Local Fatigue Approaches for Snug-Tight and Preloaded Hot-Dip Galvanized Steel Bolted Joints.” International Journal of Fatigue, vol. 153, Elsevier BV, Dec. 2021, p. 106486, doi:10.1016/j.ijfatigue.2021.106486.
APA	Souto, C. D. S., Gomes Vı́tor M.G., Silva, L. F. R. C. D., Figueiredo, M. V., Correia, J. A. F. O., Lesiuk, G., Fernandes, A. A., et al. (2021). Global-local fatigue approaches for snug-tight and preloaded hot-dip galvanized steel bolted joints. International Journal of Fatigue, 153, 106486. Elsevier BV. Retrieved from https://doi.org/10.1016%2Fj.ijfatigue.2021.106486
BibTeX	@article{Souto_2021, doi = {10.1016/j.ijfatigue.2021.106486}, url = {https://doi.org/10.1016%2Fj.ijfatigue.2021.106486}, year = 2021, month = {dec}, publisher = {Elsevier {BV}}, volume = {153}, pages = {106486}, author = {Carlos D.S. Souto and V{\'{\i}}tor M.G. Gomes and Lucas F.R.C. Da Silva and Miguel V. Figueiredo and Jos{\'{e}} A.F.O. Correia and Grzegorz Lesiuk and Ant{\'{o}}nio A. Fernandes and Ab{\'{\i}}lio M.P. De Jesus}, title = {Global-local fatigue approaches for snug-tight and preloaded hot-dip galvanized steel bolted joints}, journal = {International Journal of Fatigue} }

Statistical Analysis for Fatigue Data (ASTM E739-10)

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