Long-Term In Situ Performance Evaluation of Epoxy Asphalt Concrete for Long-Span Steel Bridge Deck Pavement
Source abstract
Abstract
Suitable evaluation of distress is beneficial to understanding the in situ performance of deck pavement. This study attempts to evaluate the long-term in situ performance of American ChemCo epoxy asphalt concrete on the Xihoumen Bridge (XHMB) after 12 years of service. The traditional performance indexes were adopted to reveal the performance of XHMB. Then, based on the typical distresses, a new pavement performance index (PPI) was proposed to characterize the authentic distress condition. Finally, the performance evaluation and evolution were conducted. According to the results, the rutting depth indexes and riding quality indexes of all lanes are higher than 97 and 94, respectively. The pavement condition indexes of the pass lanes and drive lanes in 2021 are greater than 94 and 86, respectively, which is contradictory to the distribution of numerous distresses on the pavement. According to the PPI results, the PPIs of the down direction pass lane are mostly 100. However, for the down direction drive lane, the PPIs of about 30% of segments are below 80 or 60. Finally, based on the limited data, the distress of American ChemCo epoxy asphalt concrete may initiate after serving for 4–5 years and then escalate after about 10 years.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Asphalt Pavement Performance Evaluation · Infrastructure Maintenance and Monitoring · Concrete Corrosion and Durability
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Transportation, Southeast University, Nanjing 211189, China
Funding
National Natural Science Foundation of China · science and technology project of Anhui Communications Holding Group Co., Ltd. · Postgraduate Research and Practice Innovation Program of Jiangsu Province
References (36)
Show source-provided references
1. Bridges in urban planning and architectural culture10.1016/j.proeng.2016.08.530 ↗
2. Corticelli, R., Pazzini, M., Mazzoli, C., Lantieri, C., Ferrante, A., and Vignali, V. (2022). Urban Regeneration and Soft Mobility: The Case Study of the Rimini Canal Port in Italy. Sustainability, 14.10.3390/su142114529 ↗
3. Performance evaluation of long-span suspension bridge pavement based on long-term maintenance data10.1061/(ASCE)MT.1943-5533.0003019 ↗
4. Comparative investigation into field performance of steel bridge deck asphalt overlay systems10.1007/s12205-016-0259-1 ↗
5. Experimental and numerical characterization of a membrane material for orthotropic steel deck bridges: Part 210.1016/j.finel.2008.01.012 ↗
6. Emergency and Long-term Measures of Steel Deck Pavement Distresses at BRT Station10.1007/s11668-017-0335-y ↗
7. Analysis of structural compatibility at interface between asphalt concrete pavements and orthotropic steel deck surfaces10.3141/2293-01 ↗
8. Medani, T.O. (2006). Design Principles of Surfacings on Orthotropic Steel Bridge Decks. [Ph.D. Thesis, Delft University of Technology].
9. Data-based models for fatigue reliability of orthotropic steel bridge decks based on temperature, traffic and strain monitoring10.1016/j.ijfatigue.2016.09.019 ↗
10. State of the art of asphalt surfacings on long-spanned orthotropic steel decks in China10.1520/JTE20120133 ↗
11. Evaluating the effects of styrene-butadiene rubber (SBR) and polyphosphoric acid (PPA) on asphalt adhesion performance10.1016/j.conbuildmat.2021.126028 ↗
12. Investigation of tack coat failure in orthotropic steel bridge deck overlay: Survey, analysis, and evaluation10.3141/2444-04 ↗
13. Laboratory investigation and numerical simulation of the rutting performance of double-layer surfacing structure for steel bridge decks10.1016/j.conbuildmat.2017.03.172 ↗
14. Effect of cohesive and adhesive parameters on the moisture resistance of thin friction course (TFC) with varying mix design parameters10.1016/j.conbuildmat.2020.119420 ↗
15. Investigation of the raveling potential of thin friction course (TFC) under freeze–thaw conditions10.1617/s11527-021-01627-8 ↗
16. Evaluating the thermal aging-induced raveling potential of thin friction course (TFC)10.1016/j.conbuildmat.2021.126160 ↗
17. Relationship between asphalt compatibility, flow properties, and oxidative aging
18. Epoxy asphalt concrete paving on the deck of long-span steel bridges10.1360/02ww0123 ↗
19. Effects of Epoxy Resin Content on Properties of Hot Mixing Epoxy Asphalt Binders10.1061/(ASCE)MT.1943-5533.0004259 ↗
20. Performance characteristics of epoxy asphalt paving material for thin orthotropic steel plate decks10.1080/10298436.2018.1481961 ↗
21. Condition survey and analysis of first epoxy asphalt concrete pavement on orthotropic bridges in China. A ten-year review
22. Developing cold-mixed epoxy resin-based ultra-thin antiskid surface layer for steel bridge deck pavement10.1016/j.conbuildmat.2021.123366 ↗
23. Preparation and performance characterization of a novel high-performance epoxy resin modified reactive liquid asphalt10.1016/j.conbuildmat.2020.120113 ↗
24. Improvement of bending fatigue test for asphalt surfacing on orthotropic steel bridge deck10.1520/ACEM20160033 ↗
25. Zhao, Y., Jiang, J., Ni, F., and Zhou, L. (2019). Fatigue cracking resistance of engineered cementitious composites (ecc) under working condition of orthotropic steel bridge decks pavement. Appl. Sci., 9.10.3390/app9173577 ↗
26. Performance evaluation of a high durability asphalt binder and a high durability asphalt mixture for bridge deck pavements10.1016/j.conbuildmat.2008.01.001 ↗
27. Effect of pavement design parameters on the behaviour of orthotropic steel bridge deck pavements under traffic loading10.1080/10298436.2013.839790 ↗
28. Cracking mechanism and repair techniques of epoxy asphalt on steel bridge deck pavement10.3141/2550-16 ↗
29. A sixteen-year review of condition survey and analysis of steel deck pavement on Jiangyin Yangtze River Bridge10.4028/www.scientific.net/MSF.873.91 ↗
30. Data Analysis in Pavement Engineering: An Overview10.1109/TITS.2021.3115792 ↗
31. Modelling of pavement performance evolution considering uncertainty and interpretability: A machine learning based framework10.1080/10298436.2021.2001814 ↗
32. Factors Affecting Maintenance Probability and Resurfacing Thickness Based on the Pavement Management System10.1155/2020/8817081 ↗
33. Deep reinforcement learning for long-term pavement maintenance planning10.1111/mice.12558 ↗
34. Large-Scale Maintenance and Rehabilitation Optimization for Multi-Lane Highway Asphalt Pavement: A Reinforcement Learning Approach10.1109/TITS.2022.3161689 ↗
35. Effectiveness and cost-effectiveness evaluation of pavement treatments using life-cycle cost analysis10.1061/JPEODX.0000106 ↗
36. Mechanical behavior of the asphalt wearing surface on an orthotropic steel bridge deck under cyclic loading