Modeling the constant amplitude fatigue behavior of adhesively bonded pultruded GFRP joints
Source abstract
Abstract
The constant amplitude fatigue behavior of adhesively bonded pultruded glass fiber reinforced polymer double-lap joints were modeled by a number of conceptually different phenomenological SN (cyclic stress vs. number of cycle) formulations. An extended database containing constant amplitude fatigue data under tension (R=0.1), compression (R=10), and reversed loading (R=1) were analyzed in order to investigate whether or not there exists an appropriate fatigue formulation for accurate modeling of the behavior of the examined joints throughout their lifetime, from the very low-cycle fatigue to the high-cycle fatigue regions. Based on an extensive review, appropriate fatigue formulations that take into account the probabilistic nature of lifetime measurements were selected and their fundamental assumptions were examined. The validity of the statistical assumptions of these models was found to be influenced by the applied loading conditions. The modeling results were similar for all selected fatigue formulations with the derived SN curves exhibiting differences mainly in the low- and high-cycle fatigue regimes. The formulations insensitive to the scatter in the experimental data were found to be the most appropriate models.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Mechanical Behavior of Composites · Fatigue and fracture mechanics · Structural Behavior of Reinforced Concrete
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (41)
Show source-provided references
1. Weibull W · 1961
2. Mandell JF, Meier U. Effect of stress ratio, frequency and loading time on the tensile fatigue of glass-reinforced epoxy. In: O’Brien TK, editor. Long-term behavior of composites, ASTM STP 813. Philadelphia: American Society for Testing and Materials; 1982. p. 55–77.10.1520/STP31816S ↗
3. Rotem A · Composites Science and Technology · 1993 · 46 · 12910.1016/0266-3538(93)90168-G ↗
4. Ellyin F · Composites · 1994 · 25 · 91710.1016/0010-4361(94)90107-4 ↗
5. Jarosch E · Journal of the American Helicopter Society · 1970 · 15 · 3310.4050/JAHS.15.33 ↗
6. D’Amore A · Science and Engineering of Composite Materials · 1996 · 5 · 110.1515/SECM.1996.5.1.1 ↗
7. Epaarachchi JA · Composites Part A · 2003 · 34 · 31310.1016/S1359-835X(03)00052-6 ↗
8. Qiao P · Journal of Composite Materials · 2006 · 40 · 81510.1177/0021998305055549 ↗
9. Sendeckyj GP. Life prediction for resin matrix composite materials. In: Reifsnider KL, editor. Fatigue of composite materials. Amsterdam: Elsevier; 1990. p. 431–83.10.1016/B978-0-444-70507-5.50014-7 ↗
10. Chou PC, Croman R. Degradation and sudden-death models of fatigue of graphite/epoxy composites. In: Tsai SW, editor. Composite Materials: Testing and Design (fifth conference), ASTM STP 674. Philadelphia: American Society for Testing and Materials; 1979. p. 431–54.10.1520/STP36922S ↗
11. Hwang W · Composite Materials · 1986 · 20 · 15410.1177/002199838602000203 ↗
12. Philippidis TP · Composites Science and Technology · 2000 · 60 · 281910.1016/S0266-3538(00)00150-0 ↗
13. Zhang Y · International Journal of Fatigue · 2010 · 32 · 97910.1016/j.ijfatigue.2009.11.004 ↗
14. Harik VM · International Journal of Fatigue · 2002 · 24 · 45510.1016/S0142-1123(01)00101-3 ↗
15. Xiong JJ · Journal of Composite Materials · 2004 · 38 · 118710.1177/0021998304042081 ↗
16. ASTM standard E-739–10, Standard practice for statistical analysis of linear or linearized stress-life (S-N) and strain-life (ϵ-N) fatigue data.
17. Whitney JM. Fatigue characterization of composite materials In: Lauraitis KN, editor. Fatigue in fibrous composite materials. ASTM STP 723. Philadelphia: American Society for Testing and Materials; 1981. p. 133–51.10.1520/STP27618S ↗
18. Sendeckyj GP. Fitting models to composite materials fatigue data. In: Chamis CC, editor. Test methods and design allowables for fibrous composites. ASTM STP 734. American Society for Testing and Materials; 1981. p. 245–60.10.1520/STP29314S ↗
19. Mandell JF. Fatigue behavior of short fiber composite materials. In: Reifsnider KL, editor. Fatigue of composite materials. Amsterdam: Elsevier; 1990. p. 232–333.10.1016/B978-0-444-70507-5.50011-1 ↗
20. Bach PW. ECN investigations of GI-UP materials. In: Kensche CW, editor. Fatigue of materials and components for wind turbine rotor blades. Brussels: European Comission; 1996. p. 10–38.
21. Echtermeyer AT, Hayman E, Ronold KO. Comparison of fatigue curves for glass composite laminates. In: Mayer RM, editor. Design of composite structures against fatigue: applications to wind turbine blades. Bury St Edmunds: Mechanical Engineering Publications Limited; 1996. p. 209–26.
22. Krenk S · Engineering Fracture Mechanics · 1996 · 53 · 85910.1016/0013-7944(95)00150-6 ↗
23. Crocombe AD, Richardson G. Assessing stress and mean load effects on the fatigue response of adhesively bonded joints. International Journal of Adhesion Adhesives. 1999;19:19–27.10.1016/S0143-7496(98)00049-9 ↗
24. Nolting AE · Journal of ASTM International · 2008 · 5 · 1
25. Sarfaraz R · International Journal of Fatigue · 2011 · 33 · 145110.1016/j.ijfatigue.2011.05.012 ↗
26. Quaresimin M · Composites Science and Technology · 2006 · 66 · 17610.1016/j.compscitech.2005.04.026 ↗
27. Sarkani S · Journal of the Structural Engineering. American Society of Civil Engineers · 1999 · 125 · 142310.1061/(ASCE)0733-9445(1999)125:12(1423) ↗
28. Keller T · Composite Structures · 2004 · 65 · 5510.1016/j.compstruct.2003.10.008 ↗
29. Zhang Y · Composites Science and Technology · 2009 · 69 · 102210.1016/j.compscitech.2009.01.024 ↗
30. Vassilopoulos AP · International Journal of Fatigue · 2007 · 29 · 2010.1016/j.ijfatigue.2006.03.004 ↗
31. Vassilopoulos AP · International Journal of Fatigue · 2008 · 30 · 163410.1016/j.ijfatigue.2007.11.007 ↗
32. Vassilopoulos AP · Computational Materials Science · 2008 · 43 · 108610.1016/j.commatsci.2008.02.028 ↗
33. Vassilopoulos AP, Keller T. Modeling of the fatigue life of adhesively-bonded FRP joints with genetic programming. In: Proceedings of the 17th International Conference on Composite Materials (ICCM17); 2009; Edinburgh, UK. p. F13:13.
34. Sims DF, Brogdon VH. Fatigue behavior of composites under different loading modes. In: Reifsnide KL, Lauraitis KN, editors. Fatigue of filamentary composite materials. ASTM STP 636. Philadelphia: American Society for Testing and Materials; 1977. p. 185–205.10.1520/STP27978S ↗
35. Harik VM · Journal of Composite Materials · 2003 · 37 · 59710.1177/002199803029731 ↗
36. Mu P · Key Engineering Materials · 2011 · 462 · 48410.4028/www.scientific.net/KEM.462-463.484 ↗
37. Hahn HT · Journal of Composite Materials · 1975 · 9 · 29710.1177/002199837500900308 ↗
38. Massey FJ. The Kolmogorov-Smirnov test for goodness of fit. Journal of the American Statistical Association. 1951;46:68–78.10.1080/01621459.1951.10500769 ↗
39. Hahn HT, Kim RY. Fatigue behavior of composite laminate. Journal of Composite Materials, 1976;10:156–180.10.1177/002199837601000205 ↗
40. Vassilopoulos AP · Computational Materials Science · 2010 · 49 · 48310.1016/j.commatsci.2010.05.039 ↗
41. Sheskin DJ. Handbook of parametric and nonparametric statistical procedures. Appendix: Table A4, 2nd ed. London: Chapman & Hall/CRC; 2000.