Exploring the interactions of chloride deicer solutions with nanomodified and micromodified asphalt mixtures using artificial neural networks

Journal of Materials in Civil Engineering

Volumn 24, Issue 7, 2012, Pages 805-815

  Shi, Xianming ^a,c   Goh, Shu Wei ^b   Akin, Michelle ^a   Stevens, Seth ^a   You, Zhanping ^b  

^a MONTANA STATE UNIVERSITY   (United States)

^b Michigan Technological University   (United States)

^c Montana State University   (United States)

Author keywords

Artificial neural networks; Deicer; Fracture energy; Micro modified asphalt mixture; Moisture susceptibility; Nano modified asphalt mixtures; Tensile strength

Indexed keywords

BACK PROPAGATION NEURAL NETWORKS; CARBON MICROFIBERS; CAUSE-AND-EFFECT RELATIONSHIPS; DEICER; INDIRECT TENSILE STRENGTH; MOISTURE SUSCEPTIBILITY; NUMERICAL INVESTIGATIONS; PREDICTIVE MODELS;

ASPHALT; ASPHALT CONCRETE; CARBON; CHLORINE COMPOUNDS; FRACTURE ENERGY; MECHANICAL PROPERTIES; MOISTURE; NANOCOMPOSITES; NEURAL NETWORKS; SILICONES; TENSILE STRENGTH;

MIXTURES;

ARTIFICIAL NEURAL NETWORK; ASPHALT; CHLORIDE; NANOTECHNOLOGY; TENSILE STRENGTH;

EID: 84872414258     PISSN: 08991561     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)MT.1943-5533.0000452     Document Type: Article

References (49)

1. AASHTO. (2007). "Standard method of test for resistance of compacted asphalt mixture to moisture induced damage." T283-03, Washington, DC.
2. Abtahi, S. M., Sheikhzadeh, M., and Hejazi, S. M. (2010). "Fiberreinforced asphalt-concrete-A review." Constr. Build. Mater., 24(6), 871-877.
3. Banthia, N., and Dubeau, S. (1994). "Carbon and steel microfiberreinforced cement-based composites for thin repairs." J. Mater. Civ. Eng., 6(1), 88-99.
4. Banthia, N., and Sheng, J. (1996). "Fracture toughness of micro-fiber reinforced cement composites." Cem. Concr. Compos., 18(4), 251-269.
5. Bazant, Z. P., and Planas, J. (1997). Fracture and size effect in concrete and other quasibrittle materials, CRC Press, Boca Ratan, FL.
6. Besselievre, W. C. (1979). "Deicing chemical rates on open-graded pavements." Transportation Research Board Special Report: Snow Removal and Ice Control Research (185), 259-260.
7. Chapuis, R. P., and Gatien, A. (1995). Temperature dependent tensile strength of asphalt mixtures in relation to field cracking data, ASTM, Philadelphia.
8. Chen, Y., Peng, Z., Kong, L. X., Huang, M. F., and Li, P. W. (2008). "Natural rubber nanocomposite reinforced with nano silica." Polym. Eng. Sci., 48(9), 1674-1677.
9. Dore, G., Konrad, J. M., and Roy, M. (1997). "Role of deicing salt in pavement deterioration by frost action." J. Transp. Eng., 128(4), 385-391.
10. Ghile, D. B. (2006). Effects of nanoclay modification on rheology of bitumen and on performance of asphalt mixtures, Delft Univ. of Technology, Delft, The Netherlands.
11. Hassan, Y., Halim, A. O. A. E., Razaqpur, A. G., Bekheet, W., and Farha, M. (2002). "Effects of runway deicer on pavement materials and mixes: Comparison with road salt." J. Transp. Eng., 128(4), 385-391.
12. Hassan, Y., Halim, A. O. A. E., Razaqpur, A. G., and Farha, M. (2001). "Laboratory Investigation of effect of deicing chemicals on airfield asphalt concrete pavements materials." Proc. 2nd Int. Conf. on Engineering Materials, S. Nagataki, A. Al-Manaseer, and K. Sakata, eds., Japan Society of Civil Engineers (JSCE) and Canadian Society for Civil Engineering (CSCE), San Jose, CA.
13. He, X., and Shi, X. (2008). "Chloride permeability and microstructure of Portland cement mortars incorporating nanomaterials." Transp. Res. Rec., 2070, 13-21.
14. Jahromi, S. G., Andalibizade, B., and Vossough, S. (2009). "Engineering properties of nanoclay modified asphalt concrete mixtures." Arabian J. Sci. Eng., 35(1B), 89-103.
15. Jahromi, S. G., and Khodaii, A. (2009). "Effects of nanoclay on rheological properties of bitumen binder." Constr. Build. Mater., 23(8), 2894-2904.
16. Kaloush, K. E., Biligiri, K. P., Zeiada, W. A., Rodezno, M. C., and Reed, J. X. (2010). "Evaluation of fiber-reinforced asphalt mixtures using advanced material characterization tests." J. Test. Eval., 38(4), 1-12.
17. Kim, H., Wagoner, M. P., and Buttlar, W. G. (2008). Micromechanical fracture modeling of asphalt concrete using a single-edge notched beam test, Springer, The Netherlands.
18. Kok, B. V., Yilmaz, M., Sengoz, B., Sengur, A., and Avci, E. (2010). "Investigation of complex modulus of base and SBS modified bitumen with artificial neural networks." Expert Syst. Appl., 37(12), 7775-7780.
19. Liang, Y., et al. (2005). "Preparation and properties of isobutylene-isoprene rubber (IIR)/clay nanocomposites." Polym. Test., 24(1), 12-17.
20. Liu, D.-L., Yao, H.-B., and Bao, S.-Y. (2007). "Performance of nanocalcium carbonate and SBS compound modified asphalt." J. Cent. South Univ. Technol., 38(3), 579-582.
21. Ma, F., Zhang, C., and Fu, Z. (2007). "Performance and modification mechanism of nano-CaCO3 modified asphalt." J. Wuhan Univ. Technol., 31(1), 88-91.
22. McCutchon, J. R., Joseph, A. P., and Valkenburg, J. V. (1992). Assessment of the effect of urea deicing solution on asphatic concrete pavements, Public Works and Government Services, Canada.
23. Nelson, P. K., Li, V. C., and Kamada, T. (2002). "Fracture toughness of microfiber reinforced cement composites." J. Mater. Civ. Eng., 14(5), 384-391.
24. Özen, H., Aksoy, A., Tayfur, S., and Çelik, F. (2008). "Laboratory performance comparison of the elastomer-modified asphalt mixtures." Build. Environ., 43(7), 1270-1277.
25. Ozgan, E. (2011). "Artificial neural network based modelling of the Marshall stability of asphalt concrete." Expert Syst. Appl., 38, 6025-6030.
26. Ozsahin, T. S., and Oruc, S. (2008). "Neural network model for resilient modulus of emulsified asphalt mixtures." Constr. Build. Mater., 22(7), 1436-1445.
27. Pan, T., He, X., and Shi, X. (2008). "Laboratory investigation of acetatebased deicing/anti-icing agents deteriorating airfield asphalt concrete." J. Assoc. Asphalt Paving Technol., 77, 773-793.
28. Pantazopoulou, S. J., and Zanganeh, M. (2001). "Triaxial tests of fiber-reinforced concrete." J. Mater. Civ. Eng., 13(5), 340-348.
29. Peng, Z., Kong, L. X., Li, S.-D., Chen, Y., and Huang, M. F. (2007). "Self-assembled natural rubber/silica nanocomposites: Its preparation and characterization." Compos. Sci. Technol., 67(15-16), 3130-3139.
30. Peters, S., Rushing, T., Landis, E., and Cummins, T. (2010). "Nanocellulose and microcellulose fibers for concrete." Trans. Res. Rec., 2142, 25-28.
31. Pigeon, M., Pleau, R., Azzabi, M., and Banthia, N. (1996). "Durability of microfiber-reinforced mortars." Cem. Concr. Res., 26(4), 601-609.
32. Rumelhart, D. E., Hinton, G. E., and Williams, R. J. (1986). "Learning internal representations by error propagation." Chapter 8, Parallel distributed processing: explorations in the microstructure of cognition, J. L. McClelland, ed., MIT Press, Cambridge, MA, 318-362.
33. Sevil, T., Baran, M., Bilir, T., and Canbay, E. (2011). "Use of steel fiber reinforced mortar for seismic strengthening." Constr. Build. Mater., 25(2), 892-899.
34. Shi, X., Akin, M., Pan, T., Fay, L., Liu, Y., and Yang, Z. (2009a). "Deicer impacts on pavement materials: introduction and recent developments." Open Civ. Eng. J., 3(1), 16-27.
35. Shi, X., Fay, L., Yang, Z., Nguyen, T. A., and Liu, Y. (2009b). "Corrosion of deicers to metals in transportation infrastructure: Introduction and recent developments." Corros. Rev., 27(1-2), 23-52.
36. Shi, X., Liu, Y., Mooney, M., Berry, M., Hubbard, B., and Nguyen, T. A. (2010). "Laboratory investigation and neural networks modeling of deicer ingress into Portland cement concrete and its corrosion implications." Corros. Rev., 28(3-4), 105-154.
37. Shi, X., Schillings, P., and Boyd, D. (2004). "Applying artificial neural networks and virtual experimental design to quality improvement of two industrial processes." Int. J. Prod. Res., 42(1), 101-118.
38. Strong, C., and Shi, X. (2008). "Benefit-cost analysis of weather information for winter maintenance: A case study." Trans. Res. Rec., 2055, 119-127.
39. Sun, Y., Luo, Y., and Jia, D. (2008). "Preparation and properties of natural rubber nanocomposites with solid-state organomodified montmorillonite." J. Appl. Polym. Sci., 107(5), 2786-2792.
40. Wen, H. (2001). "Fatigue performance evaluation of westrack asphalt mixtures based on viscoelastic analysis of indirect tensile test." Doctoral, Dept. of Civil Engineering. North Carolina State Univ., Raleigh, NC.
41. Wu, Y.-P., Jia, Q.-X., Yu, D.-S., and Zhang, L.-Q. (2003). "Structure and properties of nitrile rubber (NBR)-Clay nanocomposites by co-coagulating NBR latex and clay aqueous suspension." J. Appl. Polym. Sci., 89(14), 3855-3858.
42. Xiao, F., and Amirkhanian, S. (2009). "Artificial neural network approach to estimating stiffness behavior of rubberized asphalt concrete containing reclaimed asphalt pavement." J. Transp. Eng., 135(8), 580-589.
43. Xiao, F., Amirkhanian, S., and Huang, C. J. (2009). "Prediction of fatigue life of rubberized asphalt concrete mixtures containing reclaimed asphalt pavement using artificial neural networks." J. Mater. Civ. Eng., 21(6), 253-261.
44. Yang, Z., Hollar, J., and Shi, X. (2010). "Surface-sulfonated polystyrene microspheres improve crack resistance of carbon microfiber-reinforced Portland cement mortar." J. Mater. Sci., 45(13), 3497-3505.
45. You, Z., et al. (2011). "Nanoclay-modified asphalt materials: Preparation and characterization." Constr. Build. Mater., 25(2), 1072-1078.
46. Yu, J., Wang, L., Zeng, X., Wu, S., and Li, B. (2007a). "Effect of montmorillonite on properties of styrene-butadiene-styrene copolymer modified bitumen." Polym. Eng. Sci., 47(9), 1289-1295.
47. Yu, J., Li, B., Zeng, X., Wang, X., and Hu, H. (2007b). "Preparation and properties of montmorillonite modified asphalts." J. Wuhan Univ. Technol., 29(9), 65-67.
48. Yu, J., Zeng, X., Wu, S., Wang, L., and Liu, G. (2007c). "Preparation and properties of montmorillonite modified asphalts." Mater. Sci. Eng. A, 447(1-2), 233-238.
49. Zhang, H., Wang, Y., Wu, Y., Zhang, L., and Yang, J. (2005). "Study on flammability of montmorillonite/styrene-butadiene rubber (SBR) nanocomposites." J. Appl. Polym. Sci., 97(3), 844-849.