Publications

Transportation Infrastructure

1. Hassanpour-Kasanagh, S., Ozturk, H. I., Ahmedzadeh, P., Behnood., A. 2025. Impact of asphaltene dispersant on the chemo-mechanical and rheological properties of SBS-modified binder with high-asphaltene content. Construction and Building Materials, 494, 143355. https://doi.org/10.1016/j.conbuildmat.2025.143355

2. Afshin, A., Behnood, A., 2025. Nanomaterials in Asphalt Pavements: A State-of-the-Art Review. Cleaner Waste Systems, 10, 100214. https://doi.org/10.1016/j.clwas.2025.100214 

3. Yousefi, A.A., Underwood, B.S, Ghodrati, A., Behnood, A., Vahidi, E., Nowrouzi, A., Ayar, P., Haghshenas, H.F., 2025. Towards a durable and sustainable warm mix asphalt: Techno-economic and environmental evaluation considering balanced mix design approach. Journal of Cleaner Production, 486, 144311. https://doi.org/10.1016/j.jclepro.2024.144311

4. Hajibabeie, P., Mohammadi-Golafshani, E., Behnood, A., 2025. Carbonation Depth Assessment of Recycled Aggregate Concrete: An Application of Conformal Prediction Intervals. Expert Systems with Applications, 268, 126231. https://doi.org/10.1016/j.eswa.2024.126231

5. Afshin, A., Behnood, A., 2024. Prediction of Moisture Susceptibility of Asphalt Mixtures Containing RAP Materials Using Machine Learning Algorithms. International Journal of Pavement Engineering, 25(1), 2431610. https://www.tandfonline.com/doi/full/10.1080/10298436.2024.2431610  

6. Mohammadi-Golafshani, E., Behnood, A., Kim, T., Ngo, T., Kashani, A., 2024. Metaheuristic optimization based- ensemble learners for the carbonation assessment of recycled aggregate concrete. Applied Soft Computing, 111661. https://doi.org/10.1016/j.asoc.2024.111661

7. Mohammadi-Golafshani, E., Behnood, A., Kim, T., Ngo, T., Kashani, A., 2024. A framework for low-carbon mix design of recycled aggregate concrete with supplementary cementitious materials using machine learning and optimization algorithms. Structures, 106143. https://doi.org/10.1016/j.istruc.2024.106143 

8. Mohammadi-Golafshani, E., Khodadadi, N., Ngo, T., Nanni, A., Behnood, A., 2024. Modelling the compressive strength of geopolymer recycled aggregate concrete using ensemble machine learning. Advances in Engineering Software, 191, 103611. https://doi.org/10.1016/j.advengsoft.2024.103611 

9. Mohammadi-Golafshani, E, Kashani, A., Kim, T. Behnood, A., Ngo, T., 2024. Sustainable mix design of recycled aggregate concrete using artificial intelligence. 1.   Journal of Cleaner Production, 442, 140994. https://doi.org/10.1016/j.jclepro.2024.140994 

10. Ashrafian, Ali., Behnood, A., Mohammadi-Golafshani, E., Panahi, E., Berenjian, J., 2024. Towards presenting an ensemble Meta-model for evaluation of pozzolanic mixtures incorporating industrial by-products. Structural Concrete. https://doi.org/10.1002/suco.202300452

11. Khodkari, N., Hamidian, P., Khodkari, H., Payan, M., Behnood, A. 2024. Predicting the small strain shear modulus of sands and sand-fines binary mixtures using machine learning algorithms. Transportation Geotechnics, 44, 101172. https://doi.org/10.1016/j.trgeo.2023.101172

12. Kazemi, R., Behnood, A., Mohammadi-Golafshani, E., 2024. Compressive strength prediction of sustainable concrete containing waste foundry sand using metaheuristic optimization-based hybrid artificial neural network. Structural Concrete. https://doi.org/10.1002/suco.202300313

13. Mohammadi-Golafshani, E., Behnood, A., Arashpour, M., 2023. Predicting the compressive strength of eco-friendly and normal concretes using hybridized fuzzy inference system and particle swarm optimization algorithm. Artificial Intelligence Review, 56, 7965–7984. https://link.springer.com/article/10.1007/s10462-022-10373-4 

14. Mohammadi Golafshani, E. Kashani, A., Behnood, A., Kim, T. 2023. Modeling the chloride migration of recycled aggregate concrete using ensemble learners for sustainable building construction. Journal of Cleaner Production, 407, 136968. https://doi.org/10.1016/j.jclepro.2023.136968 

15. Daneshvar, D., Behnood, A., Robisson, A. 2022. Interfacial bond in concrete-to-concrete composites: A review. Construction and Building Materials, 359, 129195. https://doi.org/10.1016/j.conbuildmat.2022.129195 

16. Hamidian, P., Alidoust, P., Mohammadi-Golafshani, E., Niavol, K., Behnood, A. 2022. Introduction of a novel evolutionary neural network for evaluating the compressive strength of concretes: A case of Rice Husk Ash concrete. Journal of Building Engineering, 61, 105293. https://doi.org/10.1016/j.jobe.2022.105293 

17. Moghaddas, S.A., Nekoei, M., Mohammadi-Golafshani, E. Behnood, A. Arashpour, M. 2022. Application of artificial bee colony programming techniques for predicting the compressive strength of recycled aggregate concrete. Applied Soft Computing, 109641. https://doi.org/10.1016/j.asoc.2022.109641

18. Amlashi, A.T., Golasfshani, E.M., Ebrahim, S.A., Behnood, A. 2022. Estimation of the compressive strength of green concretes containing rice husk ash: a comparison of different machine learning approaches. European Journal of Environmental and Civil Engineering,  https://doi.org/10.1080/19648189.2022.2068657

19. Asharfian, A., Shahmansouri, A.A., Akbarzadeh Bengar, H., Behnood, A. 2022. Post-fire behavior evaluation of concrete mixtures containing natural zeolite using a novel metaheuristic-based machine learning method. Archives of Civil and Mechanical Engineering, 22, 101. https://doi.org/10.1007/s43452-022-00415-7 

20. Karimi, M. M., Dehghani, E.A., Behnood, A., 2022. Cracking features of asphalt mixtures under induced heating-healing. Construction and Building Materials, 324, 12625. https://doi.org/10.1016/j.conbuildmat.2022.126625

21. Cheraghian, G., Wistuba, MP., Kiani, S., Behnood, A., Afrand, M. Barron, AR. 2022. Engineered nanocomposites in asphalt binders. Nanotechnology Reviews, 11(1). https://doi.org/10.1515/ntrev-2022-0062 

22. Mohammadi-Golafshani, E., Arashpour, M., Behnood, A., 2022. Predicting the compressive strength of green concretes using Harris hawks optimization-based data-driven methods. Construction and Building Materials, 318, 125944. https://doi.org/10.1016/j.conbuildmat.2021.125944 

23. Mirzaei, K., Arashpour, M., Asadi, E., Masoumi, H., Bai, Y., Behnood, A., 2022. 3D point cloud data processing with machine learning for construction and infrastructure applications: A comprehensive review. Advanced Engineering Informatics, 51, 101501. https://doi.org/10.1016/j.aei.2021.101501 

24. Daneshvar, D., Behnood, A., 2022. Estimating the dynamic modulus of asphalt concretes using the random forests classification method. International Journal of Pavement Engineering, 23(2) 250-260. https://doi.org/10.1080/10298436.2020.1741587

25. Mohammadi-Golafshani, E., Behnood, A.,  2021. Karimi, M. M. Predicting the dynamic modulus of asphalt mixture using hybridized artificial neural network and grey wolf optimizer. International Journal of Pavement Engineering. https://doi.org/10.1080/10298436.2021.2005056 

26. Behnood, A., Mohammadi-Golafshani, E., 2021. Artificial Intelligence to Model the Performance of Concrete Mixtures and Elements: A Review. Archives of Computational Methods in Engineering. https://link.springer.com/article/10.1007%2Fs11831-021-09644-0

27. Mohammadi-Golafshani, E., Behnood, A., Hosseinikebria, S.S., Arashpour, M. 2021. Novel metaheuristic-based type-2 fuzzy inference system for predicting the compressive strength of recycled aggregate concrete. Journal of Cleaner Production, 320, 128771 https://doi.org/10.1016/j.jclepro.2021.128771

28. Cheraghian, G., Wistuba, M.P., Kiani, S. Barron, A. R., Behnood, A., 2021. Rheological, physicochemical, and microstructural properties of asphalt binder modified by fumed silica nanoparticles.  Scientific Reports, 11455. https://www.nature.com/articles/s41598-021-90620-w

29. Mohammadi-Golafshani, E., Behnood, A. 2021. Predicting the mechanical properties of sustainable concrete containing waste foundry sand using multi-objective ANN approach. Construction and Building Materials, 291, 123314. https://doi.org/10.1016/j.conbuildmat.2021.123314

30. Pazouki, G., Mohammadi-Golafshani, E., Behnood, A. 2021. Predicting the compressive strength of SCC containing Class F fly ash using metaheuristic radial basis function neural network. Structural Concrete, 23(2), 1191-1213. https://doi.org/10.1002/suco.202000047

31. Heidarabadizadeh, N., Ghanizadeh, A. R., Behnood, A. 2021. Prediction of the resilient modulus of soils and unbound granular materials using a hybrid support vector machine method with collision bodies optimization algorithm. Construction and Building Materials, 274, 122140. https://doi.org/10.1016/j.conbuildmat.2020.122140 

32. Shahmansouri, A.A., Nematzadeh, M., Behnood, A. 2021. Mechanical properties of GGBFS-based geopolymer concrete incorporating natural zeolite and silica fume with an optimum design using response surface method. Journal of Building Engineering, 102138. https://doi.org/10.1016/j.jobe.2020.102138

33. Behnood, A., Karimi, M. M., Cheraghian, G., 2021. Coupled effects of warm mix asphalt (WMA) additives and rheological modifiers on the properties of asphalt binders. Cleaner Engineering and Technology, 1, 100028. https://doi.org/10.1016/j.clet.2020.100028

34. Yousefi, A., Behnood, A., Nowruzi, A., Haghshenas, H., 2021. Performance evaluation of asphalt mixtures containing warm mix asphalt (WMA) additives and reclaimed asphalt pavement (RAP). Construction and Building Materials, 121200. https://doi.org/10.1016/j.conbuildmat.2020.121200

35. Ameri, M., Ziari, H., Yousefi, A., Behnood, A., 2021. Moisture susceptibility of asphalt mixtures: A mechanical and thermodynamic evaluation of the effects of anti-stripping additives. Journal of Materials in Civil Engineering 33(2), 4020457. https://doi.org/10.1061/(ASCE)MT.1943-5533.0003561

36. Karimi, M. M., Ahmadi Dehaghi, E. Behnood, A. 2021. A fracture-based approach to characterize long-term performance of asphalt mixes under moisture and freeze-thaw conditions. Engineering Fracture Mechanics, 107418. https://doi.org/10.1016/j.engfracmech.2020.107418

37. Behnood, A., Mohammadi-Golafshani, E., 2021. Predicting the dynamic modulus of asphalt mixture using machine learning techniques: An application of multi biogeography-based programming. Construction and Building Materials, 120983. https://doi.org/10.1016/j.conbuildmat.2020.120983 

38. Alidoust, P., Keramati, M., Hamidian, P., Tavana Amlashi, A., Modiri Gharehveran, M., Behnood, A., 2021. Prediction of the shear modulus of municipal solid waste (MSW): An application of machine learning techniques. Journal of Cleaner Production 303, 127053. https://doi.org/10.1016/j.jclepro.2021.127053

39. Behnood, A., Daneshvar, D., 2020. A machine learning study of the dynamic modulus of asphalt concretes: An application of M5P model tree algorithm. Construction and Building Materials, 262, 120544. https://doi.org/10.1016/j.conbuildmat.2020.120544 

40. Behnood, A., Olek, J., 2020. Full-scale laboratory evaluation of the effectiveness of subgrade soil stabilization practices for portland cement concrete (PCC) pavements patching applications. Transportation Research Record - Journal of the Transportation Research Board, 2674 (5), 465-474. https://doi.org/10.1177/0361198120916476

41. Behnood, A., 2020. A review of the warm mix asphalt (WMA) technologies: Effects on thermo-mechanical and rheological properties. Journal of Cleaner Production, 259, 120817. https://doi.org/10.1016/j.jclepro.2020.120817

42. Kandiri, A., Mohammadi-Golafshani, E., Behnood, A., 2020. Estimation of the compressive strength of concretes containing ground granulated blast furnace slag using hybridized multi-objective ANN and Salp swarm algorithm. Construction and Building Materials, 248, 118676. https://doi.org/10.1016/j.conbuildmat.2020.118676

43. Behnood, A., Mohammadi-Golafshani, E., 2020. Machine learning study of the mechanical properties of concretes containing waste foundry sand. Construction and Building Materials, 243, 118152. https://doi.org/10.1016/j.conbuildmat.2020.118152

44. Mohammadi-Golafshani, E., Behnood, A., Arashpour, M., 2020. Predicting the compressive strength of normal and high-performance concretes using ANN and ANFIS hybridized with grey wolf optimizer. Construction and Building Materials, 232, 117266. https://doi.org/10.1016/j.conbuildmat.2019.117266 

45. Sobhi, S. Yousefi, A., Behnood, A., 2020. The effects of Gilsonite and Sasobit on the mechanical properties and durability of asphalt mixtures. Construction and Building Materials, 238, 117676. https://doi.org/10.1016/j.conbuildmat.2019.117676

46. Hassanpour-Kasanagh, S., Ahmedzade, P., Fainleib, A. M., Behnood, A., 2020. Rheological properties of asphalt binders modified with recycled materials: A comparison with Styrene-Butadiene-Styrene (SBS). Construction and Building Materials, 230, 117047, 1-11. https://doi.org/10.1016/j.conbuildmat.2019.117047

47. Behnood, A., 2019. Application of rejuvenators to improve the rheological and mechanical properties of asphalt binders and mixtures: A review. Journal of Cleaner Production, 231, 171-182. https://doi.org/10.1016/j.jclepro.2019.05.209

48. Behnood, A. Modiri Gharehveran, M., 2019. Morphology, rheology, and physical properties of polymer-modified asphalt binders. European Polymer Journal, 112, 766-791. https://doi.org/10.1016/j.eurpolymj.2018.10.049

49. Mohammadi-Golafshani, E., Behnood, A. 2019. Estimating the optimal mix design of silica fume concrete using biogeography-based programming. Cement and Concrete Composites 96, 95-105.https://doi.org/10.1016/j.cemconcomp.2018.11.005

50. Behnood, A., 2018. Soil and clay stabilization with chemical and non-chemical additives: A review of challenges, approaches and techniques. Transportation Geotechnics 17(part1), 14-32. https://doi.org/10.1016/j.trgeo.2018.08.002

51. Behnood, A., Mohammadi-Golafshani, E., 2018. Predicting the compressive strength of silica fume concrete using hybrid artificial neural network with multi-objective grey wolves. Journal of Cleaner Production 202, 54-64. https://doi.org/10.1016/j.jclepro.2018.08.065

52. Verian, K.P., Behnood, A., 2018. Effects of deicers on the performance of concrete pavements containing steel slag and supplementary cementitious materials. Cement and Concrete Composites 90, 27-41. https://doi.org/10.1016/j.cemconcomp.2018.03.009

53. Mohammadi-Golafshani, E., Behnood, A., 2018. Automatic regression methods for formulation of elastic modulus of recycled aggregate concrete. Applied Soft Computing 64, 377-400. https://doi.org/10.1016/j.asoc.2017.12.030

54. Mohammadi-Golafshani, E., Behnood, A., 2018. Application of soft computing methods for predicting the elastic modulus of recycled aggregate concrete. Journal of Cleaner Production 176, 1163-1176. https://doi.org/10.1016/j.jclepro.2017.11.186

55. Behnood, A., Olek, J., 2017. Stress-dependent behavior and rutting resistance of modified asphalt binders: An MSCR approach. Construction and Building Materials 157, 635-646. https://doi.org/10.1016/j.conbuildmat.2017.09.138

56. Behnood, A., Olek, J., 2017, Rheological properties of asphalt binders modified with styrene-butadiene-styrene (SBS), ground tire rubber (GTR), or polyphosphoric acid (PPA). Construction and Building Materials 151, 464-478. http://dx.doi.org/10.1016/j.conbuildmat.2017.06.115

57. Behnood, A., Behnood, V. Modiri-Gharehveran M., Alyamac K. E., 2017. Prediction of the compressive strength of normal and high-performance concretes using M5P model tree algorithm. Construction and Building Materials 142, 199-207. http://dx.doi.org/10.1016/j.conbuildmat.2017.03.061

58. Behnood, A., Shah, A., McDaniel, R.S., Besson, M., Olek, J., 2016. High temperature properties of asphalt binders: Comparison of multiple stress creep recovery and performance grading systems. Transportation Research Record - Journal of the Transportation Research Board, 2574, 131-143. https://journals.sagepub.com/doi/abs/10.3141/2574-15

59. Behnood, A., Modiri Gharehveran, M., Gozali Asl, F., Ameri, M., 2015. Effects of copper slag and recycled concrete aggregate on the properties of CIR mixes with bitumen emulsion, rice husk ash, Portland cement, and fly ash. Construction and Building Materials 96, 172-180. http://dx.doi.org/10.1016/j.conbuildmat.2015.08.021

60. Behnood, A., Verian, K.P., Modiri Gharehveran, M., 2015. Evaluation of the splitting tensile strength in plain and steel fiber-reinforced concrete based on the compressive strength. Construction and Building Materials 98, 519-529. http://dx.doi.org/10.1016/j.conbuildmat.2015.08.124

61. Behnood, A., Olek, J., Glinicki, M.A., 2015. Predicting modulus elasticity of recycled aggregate concrete using M5′ model tree algorithm. Construction and Building Materials 94, 137-147. http://dx.doi.org/10.1016/j.conbuildmat.2015.06.055

62. Behnood, A., Ameri, M., 2012. Experimental investigation of stone matrix asphalt mixtures containing steel slag. Scientia Iranica 19(5), 1214-1219. http://dx.doi.org/10.1016/j.scient.2012.07.007

63. Ameri, M., Behnood, A., 2012. Laboratory studies to investigate the properties of CIR mixes containing steel slag as a substitute for virgin aggregates. Construction and Building Materials 26(1) 475-480. http://dx.doi.org/10.1016/j.conbuildmat.2011.06.047

Transportation Engineering and Systems Engineering

64. Seyfi, M. A., Mamaghan, A. M., Behnood, A, Mannering, F. Analyzing crash injury severities with deep learning and advanced statistical models: An assessment of methodological challenges. Forthcoming in Analytic Methods in Accident Research.

65. Haghani, M., Merkert, R., Behnood, A., De Gruyter, C. Kazemzadeh, K., Ghaderi, H., Shahhoseini, Z., Thai, V., Irannezhad, E., Fahimnia, B., Waller, T., Hensher, D., 2023. How the COVID-19 pandemic has transformed the landscape of transportation research: An integrative scoping review and roadmap for future research. Transport Letters. https://doi.org/10.1080/19427867.2022.2160294

66. Behnood, A., Haghani, M., Mohammadi-Golafshani, E., 2022. Determinants of purchase likelihood for partially and fully automated vehicles: Insights from mixed logit model with heterogeneity in means and variances. Transportation Research Part A: Policy and Practice, 159, 119-139. https://doi.org/10.1016/j.tra.2022.03.017

67. Hosseini, H., Davoodi, R. Behnood, A.,  2022. Bicyclists injury severities: An empirical assessment of temporal stability. Accident Analysis & Prevention, 168, 106616. https://doi.org/10.1016/j.aap.2022.106616

68. Haghani, M., Behnood, A., Dixit, V., Oviedo-Trespalacios, O., 2022. Road safety research in the context of low- and middle-income countries: Macro-scale literature analyses, trends, knowledge gaps and challenges. Safety Science, 146, 105513. https://doi.org/10.1016/j.ssci.2021.105513

69. Haghani, M., Behnood, A., Oviedo-Trespalacios, O., Bliemer, M.C.J., 2021. Structural anatomy and temporal trends of road accident research: Full-scope analyses of the field. Safety Research, 79, 173-198. https://doi.org/10.1016/j.jsr.2021.09.002

70. Zamani, A., Behnood, A. Davoodi, S.R., 2021.Temporal stability of pedestrian injury severity in pedestrian-vehicle crashes: New insights from random parameter logit model with heterogeneity in means and variances. Analytic Methods in Accident Research, 100184. https://doi.org/10.1016/j.amar.2021.100184

71. Al-Bdairi, N.S.S., Behnood, A., 2021. Assessment of temporal stability in risk factors of crashes at horizontal curves on rural two-lane undivided highways. Safety Research, 76, 205-2017. https://doi.org/10.1016/j.jsr.2020.12.003

72. Behnood, A., Al-Bdairi, N.S.S., 2020. Determinant of injury severities in large truck crashes: A weekly instability analysis. Safety Science, 104911. https://doi.org/10.1016/j.ssci.2020.104911

73. Al-Bdairi, N.S.S., Behnood, A., Hernandez, S., 2020. Temporal stability of driver injury severities in animal-vehicle collisions: A random parameters with heterogeneity in means and variances approach. Analytic Methods in Accident Research, 100120. https://doi.org/10.1016/j.amar.2020.100120

74. Behnood, A., Mannering, F., 2019. Time-of-day variations and temporal instability of factors affecting injury severities in large-truck crashes. Analytic Methods in Accident Research, 23, 100102, 1-17. https://doi.org/10.1016/j.amar.2019.100102

75. Behnood, A., Mannering, F., 2017. Determinants of bicyclist injury severities in bicycle-vehicle crashes: A random parameters approach with heterogeneity in means and variances. Analytic Methods in Accident Research 16, 35-47. https://doi.org/10.1016/j.amar.2017.08.001

76. Behnood, A., Mannering, F., 2017. The effect of passengers on driver-injury severities in single-vehicle accidents: A random parameters heterogeneity-in-means approach. Analytic Methods in Accident Research 14, 41-54. https://doi.org/10.1016/j.amar.2017.04.001

77. Behnood, A., Mannering, F., 2017. The effects of drug and alcohol consumption on driver-injury severities in single-vehicle crashes. Traffic Injury Prevention 18(5), 456-462. http://www.tandfonline.com/doi/full/10.1080/15389588.2016.1262540

78. Behnood, A., Mannering, F., 2016. An empirical assessment of the effects of economic recessions on pedestrian-injury crashes using mixed and latent-class models. Analytic Methods in Accident Research, 12, 1-17. http://dx.doi.org/10.1016/j.amar.2016.07.002

79. Roshandeh, A.M., Zhou, B., Behnood, A., 2016. Comparison of contributing factors in hit-and-run crashes with distracted and non-distracted drivers. Transportation Research Part F: Traffic Psychology and Behaviour, 38, 22-28. http://dx.doi.org/10.1016/j.trf.2015.12.016

80. Behnood, A., Mannering, F.L., 2015. The temporal stability of factors affecting driver-injury severities in single-vehicle crashes: Some empirical evidence. Analytic Methods in Accident Research 8, 7-32. http://dx.doi.org/10.1016/j.amar.2015.08.001

81. Behnood, A., Modiri -Gharehveran, M., Roshandeh, A.M., 2016. The effects of drivers’ behavior on driver-injury severities in Iran: An application of the mixed-logit model. Scientia Iranica, 23(6), 2429-2440. http://scientiairanica.sharif.edu/article_2302.html

82. Behnood, A., Roshandeh, A.M., Mannering, F.L., 2014. Latent class analysis of the effects of age, gender, and alcohol consumption on driver-injury severities. Analytic Methods in Accident Research 3-4, 56-91. http://dx.doi.org/10.1016/j.amar.2014.10.001

Others

83. Vinay, M., Sakovsky, M., Rizzo, A., Ghasempour, Y. Daw, R., Huang, C., Denholme, S., Behnood, A., Chen, W.T.,  Perlman, O., Vasylchenkova, A., Mastrangeli, M., Rugonyi, S., and Raney, J., 2025. Editors’ Choice 2024. Communications Engineering, 4, 7. https://www.nature.com/articles/s44172-024-00335-9

84. Behnood, A., Mohammadi-Golafshani, E., Hosseini, Seyedeh Mohaddeseh, 2021. Determinants of the infection rate of the COVID-19 in the U.S. using ANFIS and virus optimization algorithm (VOA). Chaos, Solitons & Fractals 139, 110051. https://doi.org/10.1016/j.chaos.2020.110051

1. Behnood, A., Olek, J., Glinicki, M.A., September 2015. Predicting compressive strength of recycled aggregate concrete using M5′ model. In: 11th International Symposium on Brittle Matrix Composites (BMC), Warsaw, Poland, 381-391.

1. Verian, K.P., Behnood, A., Olek, J., October 2015. The Effects of Deicers on Pavement Concrete with Coarse Slag Aggregate exposed to Freezing-Thawing and Wetting-Drying Conditions. In: The 14th International Congress on the Chemistry of Cement, Beijing, China.

2. Miller, A., Spragg, R., Antico, F., Ashraf, W., Barrett, T., Behnood, A., Bu, Y., Chiu, Y., Desta, B., Farnam, Y., Jeong, H., Jones, W., Lucero, C., Luo, D., Macobatti, F., Nickel, C., Panchmatia, P., Verian, K.P., Qiang, S., Qiao, C., Shagerdi, H., Tian, Q., Tokpotayeva, R., Vilani, C., Wiese, A., Woodard, S., and Weiss, W.J., 2104. Determining the Moisture Content of Pre-Wetted Lightweight Aggregate: Assessing the Variability of the Paper Towel and Centrifuge Methods. In: 4th International Conference on the Durability of Concrete Structures, West Lafayette, Indiana, USA, 1–5.

1. 1. Adams, C.J., Bose, B., Mann, E., Erk, K., Behnood, A., Castillo, A., Rodriguez, F.B., Wang, Y., Olek, J. 2022. Superabsorbent Polymers for Internally Cured Concrete. Joint Transportation Research Program, Publication No. FHWA/IN/JTRP-2022/04, West Lafayette, IN: Purdue University. https://doi.org/10.5703/1288284317366 

   2. Behnood, A., Dykyy, B., Olek, J. 2020. Evaluations of rapid setting cementitious mixtures for concrete pavements patching projects. Joint Transportation Research Program, West Lafayette, IN: Purdue University.

   3. Behnood, A., Olek, J. 2020. Development of subgrade stabilization and slab undersealing solutions for PCC pavements restoration and repairs. Joint Transportation Research Program, Publication No. FHWA/IN/JTRP-2020/13, West Lafayette, IN: Purdue University. https://doi.org/10.5703/1288284317128

   4. Mannering, F., Maness, M., Pinjari, A., Zhang, Y., Alnawmasi, N., Balusu, S.K., Behnood, A., Eluru, N., Luang, T., Mishra, D., Sheela, P.V., Tahlyan, D. 2019. Emerging econometric and data collection methods for capturing attitudinal and social factors in activity, travel behavior and safety modeling. Teaching Old Models New Tricks (TOMNET) Transportation Center, University of South Florida.

   5. Behnood, A., Shah, A., McDaniel, R. S., & Olek, J., 2016. Analysis of the multiple stress creep recovery asphalt binder test and specifications for use in Indiana, Joint Transportation Research Program, Publication No. FHWA/IN/JTRP-2016/07, West Lafayette, IN: Purdue University. http://dx.doi.org/10.5703/1288284316330

   6. McDaniel, R.S., Olek, J., Behnood, A., Magee, B., Pollock, R., 2014. Pavement patching practices. NCHRP Synthesis of Highway Practice, Issue 463, 86p. http://www.trb.org/Main/Blurbs/171155.aspx

Behnood, A.*, Olek, J. 2020. Full-scale laboratory evaluation of the effectiveness of subgrade soil stabilization practices for portland cement concrete (PCC) pavements patching applications. Transportation Research Board Annual Meeting, Washington DC.

Behnood, A.*, Shah, A., McDaniel, R.S., Besson, M., Olek, J., 2016. High temperature properties of asphalt binders: Comparison of multiple stress creep recovery and performance grading systems. Transportation Research Board Annual Meeting, Washington DC.

Behnood, A.*, Olek, J., Glinicki, M.A., 2014. Application of Soft Computing Methods in Predicting the Elastic Properties of Recycled Aggregate Concrete. In: 4th International Conference on the Durability of Concrete Structures, West Lafayette, Indiana, USA.

Behnood A.*, Ameri M., Saeedi, M., 2011. Investigation on the Rate of Leaching of Heavy Metals and Polycyclic Aromatic Hydrocarbons from Recycled Asphalt Materials. In: 6th national congress on Civil Engineering, Semnan, Iran.

Behnood, A.*, Mansour Khaki A., 2011. Review of High-Friction Surface Technologies. In: 2nd national Conference of Roadway, Railway and Aerial Accidents, Zanjan, Iran.

    *denotes presenting author