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1 Ramadoss, P. and Nagamani, K. (2013), "Stress-strain behavior and toughness of high-performance steel fiber reinforced concrete in compression", Computers and Concrete, 11(2), 149-167./   DOI   Ndsl View Article
2 Khan, A.A., Pathak, K.K. and Dindorkar, N. (2013), "Cable layout design of two way prestressed concrete slabs using FEM", Comput. Concrete, 11(1), 75-91./   DOI   Ndsl View Article
3 Mohammadhassani, M., Jumaat, M.Z., Nezamabadi-pour, H., Jameel, M. and Arumugam Arul, M.S. (2013), "Application of artificial neural network (ANN) and linear regressions (LR) in predicting the deflection of concrete deep beams", Computers and Concrete, 11(3), 237-252./   DOI   Ndsl View Article
4 Lisantono, A. (2013), "Nonlinear finite element analysis of torsional R/C hybrid deep T beam with opening", Computers and Concrete, 11(5), 399-410./   DOI   Ndsl View Article
5 Park, W.J., Noguchi T., and Leem, H.S. (2013), "Genetic algorithm in mix proportion design of recycled aggregate concrete", Computers and Concrete, 11(3), 183-199./   DOI   Ndsl View Article
6 Park, W.J., Noguchi, T. and Lee, H.S. (2013), "Genetic algorithm in mix proportion design of recycled aggregate concrete", Comput. Concrete, 11(3), 183-199./   DOI   Ndsl View Article
7 Mohammadhassani, M., Nezamabadi-pour, H., Jumaat, M.Z., Jameel, M. and Arumugam, A.M.S. (2013a), "Application of Artificial Neural Networks (ANNs) and Linear Regressions (LR) to predict the deflection of concrete deep beams", Comput. Concr., 11(3), 237-252./   DOI   Ndsl View Article
8 Tian, Y., Jin, X. and Jin, N. (2013), "Thermal cracking analysis of concrete with cement hydration model and equivalent age method", Comput. Concr., 11(4), 271-289./   DOI   Ndsl View Article
9 Papadakis, V.G. and Demis, S. (2013), "Predictive modeling of concrete compressive strength based on cement strength class", Comput. Concr., 11(6), 587-602./   DOI   Ndsl View Article
10 Mokhatar, S.N., Abdullah, R. and Kueh, A.B.H. (2013), "Computational impact responses of reinforced concrete slabs", Comput. Concr., 12, 37-51./   DOI   Ndsl View Article
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