A new fatigue equation for asphalt mixtures considering loading sequence effects
Source abstract
Abstract
The fatigue life of asphalt mixture has been found to significantly depend on loading sequences. However, the widely used traditional linear fatigue equations are difficult to determine the fatigue life of asphalt mixture subjected to different loading sequences. This study aims to improve these fatigue equations by establishing a fatigue equation considering loading sequence effects. First, the semi-circular bending (SCB) constant amplitude fatigue tests were conducted under the high loading amplitude (σhigh) and low (σlow) loading amplitude, respectively. Then, two of the loading sequences, namely the low-high stress (σlow-σhigh) and high-low stress (σhigh-σlow), were selected to carry out the SCB variable amplitude fatigue tests. Furthermore, the loading sequence effects on the life fractions and fatigue life of asphalt mixtures were analyzed. Finally, the damage equivalent criterion was successfully applied to establish the nonlinear fatigue damage accumulation model and fatigue equation considering loading sequence effects. It was found that the cumulative life fractions of asphalt mixtures under constant amplitude loading are equal to 1, indicating the linear fatigue damage accumulation. The cumulative life fractions corresponding to the σlow-σhigh and σhigh-σlow are greater than 1 and less than 1, respectively, indicating the nonlinear fatigue damage accumulation. The established nonlinear fatigue damage accumulation model can accurately characterize the dependence of fatigue damage accumulation on loading sequences. The established fatigue equations can improve the traditional linear fatigue equations to some extent and accurately predict the fatigue life of asphalt mixtures corresponding to the loading sequences of the σlow-σhigh and σhigh-σlow.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Asphalt Pavement Performance Evaluation · Infrastructure Maintenance and Monitoring · Geotechnical Engineering and Underground Structures
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (47)
Show source-provided references
1. Energy-based kinetics approach for coupled viscoplasticity and viscofracture of asphalt mixtures10.1061/(ASCE)EM.1943-7889.0001836 ↗
2. Investigating fatigue life prediction of rubberized asphalt mixture based on damage evolution using residual strain analysis approach.10.1016/j.conbuildmat.2020.119476 ↗
3. Energy-based approach to predict fatigue life of asphalt mixture using three-point bending fatigue test10.3390/ma11091696 ↗
4. Fatigue equation for asphalt mixtures under low temperature and low loading frequency conditions10.1016/j.conbuildmat.2019.03.312 ↗
5. Fatigue characteristics of in-service cold recycling mixture with asphalt emulsion and HMA mixture10.1016/j.conbuildmat.2018.10.171 ↗
6. Exploration of cracking- related performance-based specification indexes for airfield asphalt mixtures10.1061/JPEODX.0000401 ↗
7. A new method for characterizing the fatigue performance of high-modulus asphalt mixtures10.1520/JTE20210719 ↗
8. Laboratory investigation on pavement performance of basalt fiber-reinforced asphalt mixtures under the coupling effect of freeze-thaw cycles and aging10.3389/fmats.2022.930056 ↗
9. Fatigue properties of aged porous asphalt mixtures with an epoxy asphalt binder10.1061/(ASCE)MT.1943-5533.0004130 ↗
10. Performance evaluation of asphalt mixtures with 100% eaf and bof steel slag aggregates using laboratory tests and mechanistic analyses10.1007/s12205-022-1985-1 ↗
11. Quantification of viscous and fatigue dissipation of asphalt concrete in four-point bending tests
12. Rheological, mechanical, and chemical characterization of asphalt binders and mixtures with waste tire and plastic pyrolytic chars
13. Finite element modeling of fhwa-accelerated loading facility test sections with fatigue damage using a nonlinear viscoelastic cohesive zone integrated with gaussian damage evolution10.1177/03611981221105067 ↗
14. Cracking features of asphalt mixtures under induced heating-healing10.1016/j.conbuildmat.2022.126625 ↗
15. Predicting crack growth of paving materials under indirect tensile fatigue loads10.1016/j.ijfatigue.2023.107818 ↗
16. Implementation of pseudo J-integral based Paris’ law for fatigue cracking in asphalt mixtures and pavements.10.1617/s11527-015-0750-z ↗
17. Stochastic fatigue damage in viscoelastic materials using probabilistic pseudo J-integral Paris’ law10.1016/j.engfracmech.2021.107566 ↗
18. Study on fatigue damage behavior focusing on cumulative dissipated energy and phase angle obtained from repeated compressive-tensile test10.1520/JTE20220115 ↗
19. Energy analysis for evaluating durability of porous asphalt mixture10.1016/j.conbuildmat.2022.126819 ↗
20. Research on fatigue performance of composite crumb rubber modified asphalt mixtures under freeze thaw cycles.10.1016/j.conbuildmat.2022.126603 ↗
21. Development of a new cracking index for asphalt mixtures using indirect tensile creep and strength test10.1016/j.conbuildmat.2019.07.058 ↗
22. Effects of filler concentration on indirect tensile (IDT) cracking indices in hot mix asphalt at intermediate temperature10.1080/10298436.2022.2043311 ↗
23. Rutting performance evaluation of asphalt mix with different types of geosynthetics using MMLS310.1080/10298436.2014.972916 ↗
24. Evaluation of fatigue behavior of asphalt binders containing reclaimed asphalt binder using simplified viscoelastic continuum damage approach10.1016/j.conbuildmat.2019.01.021 ↗
25. A nonlinear fatigue damage accumulation model considering strength degradation and its applications to fatigue reliability analysis10.1177/1056789514544228 ↗
26. Cracking performance characterisation of asphalt mixtures containing reclaimed asphalt pavement with hybrid binder10.1080/14680629.2017.1393002 ↗
27. Fatigue life prediction under variable amplitude loading using a nonlinear damage accumulation model10.1177/1056789514553042 ↗
28. Development of an IDEAL cracking test for asphalt mix design and QC/QA10.1080/14680629.2017.1389082 ↗
29. A modified nonlinear damage accumulation model for fatigue life prediction considering load interaction effects
30. Probabilistic modeling of fatigue life distribution and size effect of components with random defects10.1016/j.ijfatigue.2019.05.005 ↗
31. The theory of the S-N fatigue damage envelope: Generalization of linear, double-linear, and non-linear fatigue damage models10.1016/j.ijfatigue.2018.01.023 ↗
32. Cumulative damage of highstrength cast iron alloys for automotive applications10.1016/j.proeng.2015.02.053 ↗
33. Identifying fatigue failure in asphalt binder time sweep tests10.1016/j.conbuildmat.2016.06.020 ↗
34. Nonlinear fatigue damage accumulation: Isodamage curve-based model and life prediction aspects
35. Z.Y. Wu, Research on cumulative fatigue damage of asphalt mixture and asphalt layer based on multi-level amplitude loading. South China University of Technology,2014, Guangzhou, China.
36. Developing an optional multiple repeated load test to evaluate permanent deformation of asphalt mixtures based on axle load spectrum10.1016/j.conbuildmat.2016.05.006 ↗
37. Energy dissipation and rheological property degradation of asphalt binder under repeated shearing with different oscillation amplitudes
38. Effects of traffic load amplitude sequence on the cracking performance of asphalt pavement with a semi-rigid base10.1080/10298436.2022.2152027 ↗
39. A modified nonlinear fatigue damage accumulation model10.1177/1056789514524075 ↗
40. Stato-dynamic response analyses through semi-circular bending test:fatigue life prediction of asphalt mixtures10.1016/j.conbuildmat.2017.06.035 ↗
41. Modulus prediction of asphalt mixtures using dynamic semicircular bending test: estimation algorithm and nomograph development10.1016/j.ijfatigue.2017.12.014 ↗
42. Comparison between SCB-IFIT, un-notched SCB-IFIT and IDEAL-CT for measuring cracking resistance of asphalt mixtures10.1016/j.conbuildmat.2020.119060 ↗
43. C.Z. Fang, Investigating nonlinear evolution and accumulation of asphalt and asphalt mixtures. Ph.D. dissertation, Dalian Maritime University, 2023, Dalian, China.
44. Kinetics-based fatigue damage investigation of asphalt mixture through residual strain analysis using indirect tensile fatigue test10.1016/j.conbuildmat.2022.128962 ↗
45. Method of fatigue life prediction for an asphalt mixture based on the plateau value of permanent deformation ratio10.3390/ma11050722 ↗
46. Cumulative fatigue damage: CDM-based engineering rule and life prediction aspect10.1002/srin.201600048 ↗
47. Strain energy gradient-based LCF life prediction of turbine discs using critical distance concept10.1016/j.ijfatigue.2018.04.006 ↗