Predicting the compressive strength and slump of high strength concrete using neural network
Tóm tắt
Từ khóa
Tài liệu tham khảo
Shah SP. Recent trends in the science and technology of concrete, concrete technology, new trends, industrial applications. In: Proceedings of the international RILEM workshop, London, E & FN Spon; 1993. p. 1–18.
Bache HH. Densified cement/ultrafine particle based materials. In: The second international conference on superplasticizers in concrete, Ottawa; 1981.
Camoes A, Aguiar B, Jalali S. Durability of low cost high performance fly ash concrete. In: International ash symposium, Kentucky, USA; 2003, paper no. 43.
Özkul, 1999, Her Yönüyle Beton Istanbul, TCMB yayınları, 33
Sobolev, 2004, The development of a new method for the proportioning of high performance concrete mixtures, Cem Concr Comp, 26, 901, 10.1016/j.cemconcomp.2003.09.002
Mittal, 1999, Development of HPC for PC Dome of NPP, Indian Concrete J, 73, 671
Yeh, 1998, Modeling of strength of HPC using ANN, Cem Concr Res, 28, 1797, 10.1016/S0008-8846(98)00165-3
Mansour, 2004, Predicting the shear strength of RC beams using ANN, Eng Struct, 26, 781, 10.1016/j.engstruct.2004.01.011
Jung, 2001, Genetic algorithm in structural damage detection, Comput Struct, 30, 1335
Kasperkiewics, 1995, HPC strength prediction using ANN, ASCE J Comput Civil Eng, 9, 279, 10.1061/(ASCE)0887-3801(1995)9:4(279)
Lai, 1997, Concrete strength prediction by means of neural network, Constr Build Mater, 11, 93, 10.1016/S0950-0618(97)00007-X
Lee, 2003, Prediction of concrete strength using artificial neural Networks, Eng Struct, 25, 849, 10.1016/S0141-0296(03)00004-X
Bai, 2003, Using neural networks to predict workability of concrete incorporating metakaolin and fly ash, Adv Eng Softw, 34, 663, 10.1016/S0965-9978(03)00102-9
Ji-Zong, 1999, The application of automatic acquisition of knowledge to mix design of concrete, Cem Concr Res, 29, 1875, 10.1016/S0008-8846(99)00152-0
Guang, 2000, Prediction of compressive strength of concrete by neural networks, Cem Concr Res, 30, 1245, 10.1016/S0008-8846(00)00345-8
Dias, 2001, Neural networks for predicting properties of concretes with admixtures, Constr Build Mater, 15, 371, 10.1016/S0950-0618(01)00006-X
Gunaydin HM, Dogan SZ, A neural network approach for early cost estimation of structural systems of buildings. Int J Project Manage; 2004 (in press).
Arbib, 1995
Anderson, 1995
Lippman RP. An introduction to computing with neural nets. In: Artificial neural networks. The computer society theoretical concepts. Washington; 1988, p. 36–54.
Sohabhon, 1999, Application of ANN to forecast construction duration of buildings at the predesign stage, Engi Constr Architect Manage, 6, 133, 10.1046/j.1365-232X.1999.00087.x
Wu, 1993, Prediction maximum scour depth at the spur dikes with adaptive neural networks, 61
Lim, 2004, Genetic algorithm in mix proportioning of HPC, Cem Concr Res, 34, 409, 10.1016/j.cemconres.2003.08.018
Masters, 1993
Demirbaş AE. Modelling of seismically excited structures using ANN, Master Thesis, METU, Ankara; 1998.
Caglar N. Artificial neural networks in dynamic analysis of buildings. Ph.D. Thesis, Sakarya University; 2002.
Pala M. Dynamic soil structure interaction with artificial neural network, Ph.D. Thesis, Sakarya University; 2004.
