Startseite Statistical evaluation of fatigue tests using maximum likelihood
Artikel
Lizenziert
Nicht lizenziert Erfordert eine Authentifizierung

Statistical evaluation of fatigue tests using maximum likelihood

  • Klaus Störzel

    Dipl.-Ing. Klaus Störzel, born in 1959, studied General Mechanical Engineering at the Technical University of Darmstadt, graduating as Dipl.-Ing. in 1986. Since 1987 he has been a Research Associate at the Fraunhofer Institute for Structural Durability and System Reliability LBF in Darmstadt. He currently works in the Materials and Components department in the area of numerical methods and component design.

    EMAIL logo
    und Jörg Baumgartner

    Dr.-Ing. Jörg Baumgartner, born in 1978, studied General Mechanical Engineering at the Technical University of Darmstadt, graduating as Dipl.-Ing. in 2005. Following his studies, he started at Technical University of Darmstadt as Research Associate and later joined the Fraunhofer Institute for Structural Durability and System Reliability LBF. He finished his PhD-thesis in 2013 on the influence of the residual stress of welded joints on fatigue life. Currently, he heads the group “ numerical methods and component design” at Fraunhofer LBF and the Working Group 3 “Stress Analysis” at the International Institute of Welding.

Veröffentlicht/Copyright: 18. August 2021
Veröffentlichen auch Sie bei De Gruyter Brill

Abstract

The statistical evaluation of fatigue tests can be carried out using the maximum likelihood method. With this method, the influence of run-outs on the S-N curve can be statistically considered. Typically, a bilinear S-N curve (Wöhler curve) in double-logarithmic representation is used. The logarithmic normal distribution is the basis for describing the scatter, which is assumed here to be independent of the number of cycles. For parameter determination via the maximum likelihood method, reliability is examined and compared with the evaluation methods proposed in DIN 50100. While a defined test procedure is required for the application of DIN 50100, any test data can be evaluated according to the maximum likelihood method. In comparison with the methods proposed in DIN 50100, it could be shown through some examples that the maximum likelihood method yields very reliable results for all S-N curve parameters.


Dipl.-Ing. Klaus Störzel Fraunhofer-Institut für Betriebsfestigkeit und Systemzuverlässigkeit LBF Bartningstraße 47 64289 Darmstadt

About the authors

Dipl.-Ing. Klaus Störzel

Dipl.-Ing. Klaus Störzel, born in 1959, studied General Mechanical Engineering at the Technical University of Darmstadt, graduating as Dipl.-Ing. in 1986. Since 1987 he has been a Research Associate at the Fraunhofer Institute for Structural Durability and System Reliability LBF in Darmstadt. He currently works in the Materials and Components department in the area of numerical methods and component design.

Dr.-Ing. Jörg Baumgartner

Dr.-Ing. Jörg Baumgartner, born in 1978, studied General Mechanical Engineering at the Technical University of Darmstadt, graduating as Dipl.-Ing. in 2005. Following his studies, he started at Technical University of Darmstadt as Research Associate and later joined the Fraunhofer Institute for Structural Durability and System Reliability LBF. He finished his PhD-thesis in 2013 on the influence of the residual stress of welded joints on fatigue life. Currently, he heads the group “ numerical methods and component design” at Fraunhofer LBF and the Working Group 3 “Stress Analysis” at the International Institute of Welding.

Acknowledgement

Parts of the results presented here were developed in the IGF project (No. 18198 N) “Component design taking into account stress with variable amplitudes and very high number of load cycles (VHCF-VA II)”. The authors thank the German Federal Ministry for Economic Affairs and Energy (BMWi) and the German Federation of Industrial Research Associations (AiF) for the financial support.

Nomenclature

Δ

increment

1/T

scatter of a S-N curve

cdf

cumulative density function

DIN

DIN 50100

H

load level for fatigue tests

H1

load level of the first staircase test

HCF

high cycle fatigue regime (N<Nk)

Ho

highest load level for fatigue tests

Hu

lowest load level for fatigue tests

k

slope of the S-N curve in the high cycle fatigue regime (N<Nk)

k*

slope of the S-N curve in the long life fatigue regime (N3Nk)

LLF

long life fatigue regime (N3Nk)

LLM

load level method

ML

maximum likelihood

N

number of cycles

n

number of test results

n1

number of test results where failure at Ni < Nk occurred

n2

number of test results where failure at Ni ≥ Nk occurred

nB

number of test results were no failure has occurred (runouts)

NG

limit number of cycles (end of test)

nH

number of levels for fatigue tests

Nk

knee point, i. e. transition point between high cycle and long life fatigue regime

pdf

probability density function

P

probability of occurrence

P s

probability of survival

PSM

pearl string method

RND

random number

S

load or stress

s

standard deviation

SCM

staircase method

sS

standard deviation of the logarithmic load in the S-direction

sN

standard deviation of the logarithmic load in the N-direction

sup

support function

t

integration variable of the distribution function of the normal distribution

Subscripts

a

amplitude

B

reference point

corr

corrected

i

individual test result, counting parameter

k

knee point

max

maximum

N

number of cycles

NG

at the position of the limit number of cycles NG

opt

optimum

runout

test result as a runout

S

load or stress

s

survival

tot

total

References

1 O. H. Basquin: The exponential law of endurance tests, Proc. ASTM 10 (1910), pp. 625-630Suche in Google Scholar

2 C. E. Stromeyer: The Determination of fatigue limits under alternating stress conditions, Proceedings of the Royal Society A 90 (1914), pp. 411-425 DOI:10.1098/rspa.1914.006610.1098/rspa.1914.0066Suche in Google Scholar

3 A. Palmgren: Die Lebensdauer von Kugellagern (The fatigue life of bearings), Z. VDI (1924), No. 68, pp. 339-341Suche in Google Scholar

4 E. Castillo, A. Fernandez-Canteli, A. S. Hadi: On fitting a fatigue model to data, International Journal of Fatigue 21 (1999), No. 1, pp. 97-106 DOI:10.1016/S0142-1123(98)00048-610.1016/S0142-1123(98)00048-6Suche in Google Scholar

5 DIN 50100: Schwingfestigkeitsversuch – Durchführung und Auswertung von zyklischen Versuchen mit konstanter Lastamplitude für metallische Werkstoffproben und Bauteile (Load Controlled Fatigue Testing – Execution and Evaluation of Cyclic Tests at Constant Load Amplitudes on Metallic Specimens and Components), Beuth, Berlin, Germany (2016)Suche in Google Scholar

6 H. Mauch, H. Zenner: Lebensdauerstatistik – Leitfaden zur Statistik in der Betriebsfestigkeit (Engl.: Fatigue life – Guideline for Statistics in Fatigue Strength), FVA-Forschungsvorhaben 304, Heft 591 (1999)Suche in Google Scholar

7 D. J. Finney: Probit Analysis: A statistical Treatment of Sigmoid Response Curve, Cambridge University Press, Cambridge, UK (1947)Suche in Google Scholar

8 W. W. Maenning: Das Abgrenzungsverfahren, eine kostensparende Methode zur Ermittlung von Schwingfestigkeitskennwerten (The delimitation method, a cost-saving method for the determination of fatigue strength parameters), Materials Testing 19 (1977), No. 8, pp. 280-289 DOI:10.3139/120.11039010.3139/120.110390Suche in Google Scholar

9 D. J. Dixon, A. M. Mood: A method of obtaining and analyzing sensitivity data, Journal of the American Statistical Association 43 (1948), No. 241, pp. 108-126 DOI:10.1080/01621459.1948.1048325410.1080/01621459.1948.10483254Suche in Google Scholar

10 E. Deubelbeiss: Dauerfestigkeitsversuche mit einem modifizierten Treppenstufenverfahren (Fatigue tests with a modified staircase method), Materials Testing 16 (1974), No. 8, pp. 240-24410.1515/mt-1974-160809Suche in Google Scholar

11 M. Hück: Ein verbessertes Verfahren für die Auswertung von Treppenstufenversuchen (An improved method for the evaluation of staircase tests), Materialwissenschaft und Werkstofftechnik 14 (1983), No. 12, pp. 406-417 DOI:10.1002/mawe.1983014120710.1002/mawe.19830141207Suche in Google Scholar

12 K. Brownlee, J. Hodges, M. Rosenblatt: The up-and-down method with small samples, Journal of the American Statistical Association 48 (1953), pp. 262-27710.1080/01621459.1953.10483472Suche in Google Scholar

13 T. Svensson, B. Wadman, J. de Maré, S. Lorén: Statistical models of the fatigue limit, Swedish National Testing and Research Institute: Online Project Paper, 2000Suche in Google Scholar

14 R. Little: Estimating the median fatigue limit for very small up-and-down quantal response tests and for S-N data with runouts, In: Heller RA, editor. Probabilistic aspects of fatigue. Philadelphia, PA: American Society for Testing and Materials, 197210.1520/STP35403SSuche in Google Scholar

15 R. Rennert, E. Kullig, M. Vormwald, A. Esderts, D. Siegele: FKM Guideline – Analytical Strength Assessment of Components, Frankfurt a. M., Germany 2013Suche in Google Scholar

16 A. F. Hobbacher: Recommendations for Fatigue Design of Welded Joints and Components, IIW, Springer, Heidelberg, Germany (2016)10.1007/978-3-319-23757-2Suche in Google Scholar

17 DIN EN 1993-1-9: Design of Steel Structures – Part 1 – 9: General Rules and Rules for Buildings, Beuth, Berlin, Germany (2010)Suche in Google Scholar

18 C. M. Sonsino: Course of SN-curves especially in the high-cycle fatigue regime with regard to component design and safety, International Journal of Fatigue 29 (2007), No. 12, pp. 2246-2258 DOI:10.1016/j.ijfatigue.2006.11.01510.1016/j.ijfatigue.2006.11.015Suche in Google Scholar

19 C. Müller, M. Wächter, R. Masendorf, A. Esderts: Distribution functions for the linear region of the S-N curve, Materials Testing 59 (2017), No. 7-8, pp. 625-629 DOI:/10.3139/120.11105310.3139/120.111053Suche in Google Scholar

20 C. Müller: Zur statistischen Auswertung experimenteller Wöhlerlinien (Engl.: On the statistical evaluation of experimental S-N curves), PhD-Thesis, TU Clausthal, Clausthal-Zellerfeld, Germany (2015)Suche in Google Scholar

21 C. Müller, M. Wächter, R. Masendorf, A. Esderts: Accuracy of fatigue limits estimated by the staircase method using different evaluation techniques, International Journal of Fatigue 100 (2017), No. 1, pp. 296-307 DOI:10.1016/j.ijfatigue.2017.03.03010.1016/j.ijfatigue.2017.03.030Suche in Google Scholar

22 E. Spindel, E. Haibach: The Method of Maximum Likelihood Applied to the Statistical Analysis of Fatigue Data Including Run-Outs, International Journal of Fatigue 1 (1979), No. 2, pp. 81-88 DOI:10.1016/0142-1123(79)90012-410.1016/0142-1123(79)90012-4Suche in Google Scholar

23 W. Nelson: Applied Life Data Analysis, John Wiley, New York, USA (1982)10.1002/0471725234Suche in Google Scholar

24 W. Nelson: Fitting of fatigue curves with nonconstant standard deviation to data with runouts, Journal of Testing and Evaluation 12 (1984), No. 1, pp. 69-77 DOI:10.1520/JTE10700J10.1520/JTE10700JSuche in Google Scholar

25 F. Pascual, W. Meeker: Analysis of fatigue data with runouts based on a model with noncostant standard deviation and fatigue limit parameter, Journal of Testing and Evaluation 25 (1997), No. 3, pp. 292-301 DOI:10.1520/JTE11341J10.1520/JTE11341JSuche in Google Scholar

26 R. Pollak: Analysis of Methods for Determining High Cycle Fatigue Strength of a Material with Investigation of Ti-6Al-4 V Gigacycle Fatigue Behavior, PhD Thesis, Air Force Institute of Technology, Wright-Patterson Air Force Base, Ohio, USA (2005)Suche in Google Scholar

27 M. Matsumoto, T. Nishimura: Mersenne Twister: A 623-dimensionally equidistributed uniform pseudorandom number generator, ACM Transactions on Modeling and Computer Simulation 8 (1998), No. 1, pp. 3-30 DOI:10.1145/272991.27299510.1145/272991.272995Suche in Google Scholar

28 A. Martin, K. Hinkelmann, A. Esderts: Zur Auswertung von Schwingfestigkeitsversuchen im Zeitfestigkeitsbereich (For the evaluation of fatigue tests in high cycle fatigue regime), Materials Testing 53 (2011), No. 9, pp. 502-512 DOI:10.3139/120.11025510.3139/120.110255Suche in Google Scholar

Published Online: 2021-08-18
Published in Print: 2021-08-31

© 2021 Walter de Gruyter GmbH, Berlin/Boston, Germany

Artikel in diesem Heft

  1. Frontmatter
  2. Materialography
  3. Long term heating effects at 1173 K and 1273 K on microstructural rejuvenation in various modified alloys based on GTD-111
  4. Mechanical testing
  5. Effect of tempering temperature on impact energy of AISI 410 martensitic stainless steel at low temperatures
  6. Fatigue testing
  7. Evaluation of S-N curves including failure probabilities using short-time procedures
  8. Statistical evaluation of fatigue tests using maximum likelihood
  9. Materials testing for joining and additive manufacturing applications
  10. Microstructure and mechanical properties of 6082-T6 aluminum alloy–zinc coated steel braze-welded joints
  11. Mechanical testing/Numerical simulations
  12. Evaluation of chilled casting and extrusion-shear forming technology based on numerical simulation and experiments
  13. Materials testing for welding and additive manufacturing applications
  14. Effects of laser and GMA hybrid welding parameters on shape, residual stress and deformation of HSLA steel welds
  15. Analysis of physical and chemical properties
  16. Vibration damping capacity of deep cryogenic treated AISI 4140 steel shaft supported by rolling element bearings
  17. Component-oriented testing and simulation
  18. Optimal design and experimental investigation of teeth connection joint on a filament wound composite transmission shaft
  19. Mechanical testing
  20. Mitigation of heat treatment distortion of AA 7075 aluminum alloy by deep cryogenic processing using the Navy C-ring test
  21. Production and desin-oriented testing
  22. Optimal design of differential mount using nature-inspired optimization methods
  23. Fatigue testing
  24. Fatigue Life and Stress Analysis of the Crankshaft of a Single Cylinder Diesel Engine under Variable Forces and Speeds
  25. Analysis of physical and chemical properties
  26. Effect of Bi dopant on morphological and optical properties of ZnO semiconductor films produced by the sol-gel spin coating process
  27. Mechanical Testing
  28. Husking and mechanical properties of ISAF N231/SAF N110 carbon black filled XNBR-ENR blend rubber compound for rice husk removal applications
Heruntergeladen am 25.10.2025 von https://www.degruyterbrill.com/document/doi/10.1515/mt-2020-0116/html?lang=de
Button zum nach oben scrollen