1 |
Al-Salloum, Y.A., Shah, A.A., Abbas, H.A., Saleh, H., Almusallam, T.H. and Al- Haddad, M.S. (2012), "Prediction of compressive strength of concrete using neural networks", Computers and Concrete, 10(2), 197-217.
DOI
ScienceOn
|
2 |
Bai, J.S., Wild, J.A. and Sabir, B.B. (2003), "Using neural networks to predict workability of concrete incorporating Metakaoline and fly ash", Ad. Eng. Software, 34, 663-669.
DOI
ScienceOn
|
3 |
Murata, J. (1984), "Flow and definitions of fresh concrete", Materials and Construction, 17, 117-129.
DOI
|
4 |
Mustafa, S., Alperen, Y. and Ozgur, Y. (2005), "Workability of hybrid fiber reinforced self compacting concrete", Building and Environment, 40(12), 1672-1677.
DOI
ScienceOn
|
5 |
Nagesha, M.S., Ramugade, P.P., Potdar, R. and Patil, S.V. (2003), "Rapid estimation of concrete strength using predictive tools", Indian Concrete Journal, 77, 947-954.
|
6 |
Oztas, A., Pala, M., Ozbay, E., Kanca, E., Naci, C. and Bhatti, M.A. (2006), "Predicting the compressive strength and slump of high strength concrete using neural network", Journal Construction and Building Materials, 20, 769-775.
DOI
ScienceOn
|
7 |
Papovics, S. and Ujhelyi, J. (2008), "Contribution to the concrete strength versus water cement ratio relationship", J. Mater. Civ. Eng., 20, 459-463. 849
DOI
ScienceOn
|
8 |
Perumal, P., Maheswaran, J. and Elangovan, G. (2007), "Behaviour of superplasticized concrete on simultaneous reduction of cement and water content", New Building Material and Construction World, 12(7), 154-158.
|
9 |
Perumal, P. and Elangovan, G. (2007), "Comparative study of different superplasticized concrete under reduced levels of cement and water", New Building Materials and Construction World, 12(6), 156-163.
|
10 |
Plank, J., Schroefl, C., Gruber, M., Lesti, M. and Sieber, R. (2009), "Effectiveness of polycarboxylate superplasticizers in ultra high strength concrete: the importance of PCE compatibility with silica fume", Journal of Advanced Concrete Technology, 7(1), 5-12.
DOI
|
11 |
Prasada, B.K.R., Eskandari, H. and Reddy, B.V.V. (2009), "Prediction of compressive strength of SCC and HPC with high volume fly ash using ANN", Construction and Building Materials, 23(1), 117-128.
DOI
ScienceOn
|
12 |
Rajamane, N.P., Peter, A.J. and Ambily, P.S. (2007), "The prediction of compressive strength of concrete with fly ash as sand replacement material", Cement and Concrete Composites, 29, 218-223.
DOI
ScienceOn
|
13 |
Yamada, K., Sugamata, T. and Nakanishi, H. (2006), "Fluidity performance evaluation of cement and plasticizers", Journal of Advanced Concrete Technology, 4(2), 241-249.
DOI
|
14 |
Sonebi, M. and Cevik, A. (2009), "Prediction of fresh and hardened properties of self consolidating concrete using neurofuzzy approach", J. Mat. Civ. Eng., ASCE, 21(11), 672-679.
DOI
ScienceOn
|
15 |
Thorpe, D.J. and Corden, W.A. (1983), "Potential of water reducing admixtures", Concrete International, 5(3), 32-38.
|
16 |
Topcu, Y.B. and Sarydemir, M. (2007), "Prediction of properties of waste AAC aggregate concrete using artificial neural networks", Comp. Mater. Sci., 41, 117-125.
DOI
ScienceOn
|
17 |
Yeh, I.C. (2007), "Modeling slump flow of concrete using second order regressions and artificial neural networks", Cement and Concrete Composites, 29(6), 474-480.
DOI
ScienceOn
|
18 |
Zain, M.F.M. and Abd, S.M. (2009), "Multiple regression model for compressive strength prediction of high performance concrete", J. App. Sci., 9(1), 155-160.
DOI
|
19 |
Zang, Y., Sun, W. and Shang, L. (1997), "Mechanical properties of of high performance concrete made with high calcium high sulphate fly ash", Cement and Concrete Research , 27(7), 1093- 1098.
DOI
ScienceOn
|
20 |
Hwang, K., Noguchi, T. and Tomosawa, F. (2004), "Prediction model of compressive strength development of fly- ash concrete", Cement and Concrete Research, 34(12), 2269-2276.
DOI
ScienceOn
|
21 |
Jain, A., Zha, S.K. and Misra, S. (2006), "Modeling compressive strength of concrete using ANN", Indian Concrete Journal, 80(10).
|
22 |
Jee, N., Sangchun, Y. and Hongbum, C. (2004), "Prediction of compressive strength of in- situ concrete based on mixture proportions", Journal Asian Architect Building Eng, 3, 9-16.
DOI
ScienceOn
|
23 |
Kewalramani, M.A., and Gupta, R. (2006), "Concrete compressive strength prediction using ultrasonic Pulse velocity through artificial neural network", Journal Automation in Construction, 15, 374-379.
DOI
ScienceOn
|
24 |
Khayat, K.H. (1995), "Effects of Anti- Wash out Admixtures on Fresh Concrete Properties", ACI Materials Journal, 92(2), 164- 171.
|
25 |
Khayat, K.H. and Guizani, Z. (1997), "Use of viscosity - modifying sdmixtures to enhance stability of fluidity of concrete", ACI Materials Journal, 94(4), 332-340.
|
26 |
Khayat, K.H. (1999), "Workability, testing and performance of self consolidating concrete", ACI Materials Journal, 96(3), 346- 353.
|
27 |
Kheder, G.F., Al-Gabban, A.M. and Suhad, M.A. (2003), "Mathematical model for the prediction of cement compressive strength at the ages of 7 and 28 Days within 24 hours", Materials and Structures, 36, 6936- 6701.
|
28 |
Kumar, V., Roy, B.N. and Sai, A.S.R. (1989), "Effect of Superplasticizer on Concrete", Indian Concrete Journal, January, 31-33.
|
29 |
Laskar, A.I. and Talukdar, S. (2008), "Rheological behaviour of high performance concrete with mineral admixtures and their blending", Construction and Building Materials, 22(12), 2345- 2354.
DOI
ScienceOn
|
30 |
Mousavi, S.M., Gandomi, A.H., Alavi, A.H. and Vesalomahmood, M. (2010), "Modeling of compressive strength of HPC mixes using a combined algorithm of genetic programming and Orthogonal Least squares", Structural Engineering and Mechanics, 36(2), 225-241.
DOI
ScienceOn
|