Elastic modulus prediction of asphalt concrete
Guoqiang, L.I.; Yongqi, L.I.; Metcalf, J.B.; Pang, S.S.
Journal of Materials in Civil Engineering 11(3): 236-241
1999
ISSN/ISBN: 0899-1561 Accession: 075145544
PDF emailed within 1 workday: $29.90
Related References
Zhu, X.; Chen, L. 2012: Numerical prediction of elastic modulus of asphalt concrete with imperfect bonding Construction and Building Materials 35: 45-51Zhu, X.Y.; Yang, Z.X.; Guo, X.M.; Chen, W.Q. 2011: Modulus prediction of asphalt concrete with imperfect bonding between aggregate-asphalt mastic Composites. Part B, Engineering 42(6): 1404-1411
Zheng, M.; Li, P.; Yang, J.; Li, H.; Qiu, Y.; Zhang, Z. 2019: Fatigue character comparison between high modulus asphalt concrete and matrix asphalt concrete Construction and Building Materials 206: 655-664
Karki, P.; Kim, Y.; Little, D.N. 2015: Dynamic Modulus Prediction of Asphalt Concrete Mixtures through Computational Micromechanics Transportation Research Record: Journal of the Transportation Research Board 2507(1): 1-9
Yongqi, L.I.; Metcalf, J.B. 2005: Two-step approach to prediction of asphalt concrete modulus from two-phase micromechanical models Journal of Materials in Civil Engineering 17(4): 407-415
Xiang, S.H.U.; Baoshan, H.U.A.N.G. 2008: Micromechanics-based dynamic modulus prediction of polymeric asphalt concrete mixtures Composites. Part B, Engineering 39(4): 704-713
Dong, M.; Gao, Y.; Li, L.; Wang, L.; Sun, Z. 2016: Viscoelastic micromechanical model for dynamic modulus prediction of asphalt concrete with interface effects Journal of Central South University 23(4): 926-933
Al-Adham, K.; Baig, M.G.; Wahhab, H.A. 2018: Prediction of Dynamic Modulus for Elastomer-Modified Asphalt Concrete Mixes at Desert Environment Arabian Journal for Science and Engineering 44(5): 4141-4149
Özgan, E.; Korkmaz, .; Emiroğlu, M. 2012: Adaptive neuro-fuzzy inference approach for prediction the stiffness modulus on asphalt concrete Advances in Engineering Software 45(1): 100-104
Geyskens, P.; Kiureghian, A.D.; Monteiro, P. 1998: Bayesian Prediction of Elastic Modulus of Concrete Journal of Structural Engineering 124(1): 89-95
Pourtahmasb, M.S.; Karim, M.R.; Shamshirband, S. 2015: Resilient modulus prediction of asphalt mixtures containing Recycled Concrete Aggregate using an adaptive neuro-fuzzy methodology Construction and Building Materials 82: 257-263
Cao, P.; Jin, F.; Feng, D.; Zhou, C.; Hu, W. 2016: Prediction on dynamic modulus of asphalt concrete with random aggregate modeling methods and virtual physics engine Construction and Building Materials 125: 987-997
Li, C.Q.; Zheng, J.J.; Zhou, X.Z.; Mccarthy, M.J. 2003: A numerical method for the prediction of elastic modulus of concrete Magazine of Concrete Research 55(6): 497-505
Zheng, J.J.; Li, C.Q.; Zhou, X.Z. 2006: An analytical method for prediction of the elastic modulus of concrete Magazine of Concrete Research 58(10): 665-673
Wang, H.; Li, Q. 2007: Prediction of elastic modulus and Poissons ratio for unsaturated concrete International Journal of Solids and Structures 44(5): 1370-1379
Xiao, F; Amirkhanian, S N. 2008: Resilient Modulus Behavior of Rubberized Asphalt Concrete Mixtures Containing Reclaimed Asphalt Pavement Road Materials and Pavement Design 9(4): 633-649
Jamshidi, A.; White, G.; Hosseinpour, M.; Kurumisawa, K.; Hamzah, M.O. 2019: Characterization of effects of reclaimed asphalt pavement (RAP) source and content on dynamic modulus of hot mix asphalt concrete Construction and Building Materials 217: 487-497
Lacroix, A.; Kim, Y.R.; Ranji Ranjithan, S. 2008: Backcalculation of Dynamic Modulus from Resilient Modulus of Asphalt Concrete with an Artificial Neural Network Transportation Research Record (2057): 107-113
Aydin, A.C.; Tortum, A.; Yavuz, M. 2006: Prediction of concrete elastic modulus using adaptive neuro-fuzzy inference system Civil Engineering and Environmental Systems 23(4): 295-309
Demir, F.; Armagan Korkmaz, K. 2008: Prediction of lower and upper bounds of elastic modulus of high strength concrete Construction and Building Materials 22(7): 1385-1393