Regression and artificial neural network models for strength properties of engineered cementitious composites
暂无分享,去创建一个
[1] Michael D. Lepech,et al. Large-Scale Processing of Engineered Cementitious Composites , 2008 .
[2] Manish A. Kewalramani,et al. Prediction of Concrete Strength Using Neural-Expert System , 2006 .
[3] M. Bărbuță,et al. Using Neural Networks for Prediction of Properties of Polymer Concrete with Fly Ash , 2012 .
[4] V. Li,et al. Constitutive rheological control to develop a self-consolidating engineered cementitious composite reinforced with hydrophilic poly(vinyl alcohol) fibers , 2003 .
[5] Shervin Motamedi,et al. Application of adaptive neuro-fuzzy technique to predict the unconfined compressive strength of PFA-sand-cement mixture , 2015 .
[6] En-Hua Yang,et al. Field Demonstration of Durable Link Slabs for Jointless Bridge Decks Based onStrain-Hardening Cementitious Composites – Phase 3: Shrinkage Control , 2008 .
[7] Aaron R. Sakulich,et al. Self-Healing Characterization of Engineered Cementitious Composite Materials , 2010 .
[8] Shervin Motamedi,et al. Estimating unconfined compressive strength of cockle shell-cement-sand mixtures using soft computing methodologies , 2015 .
[9] Victor C. Li,et al. High-Early-Strength Engineered Cementitious Composites for Fast, Durable Concrete Repair—Material Properties , 2011 .
[10] Kazuhiko Kawashima,et al. Neural Network Modeling of Confined Compressive Strength and Strain of Circular Concrete Columns , 2003 .
[11] Türkay Dereli,et al. Prediction of cement strength using soft computing techniques , 2004 .
[12] Prabhat,et al. Artificial Neural Network , 2018, Encyclopedia of GIS.
[13] K. Hossain,et al. Structural Performance of Polymer Fiber Reinforced Engineered Cementitious Composites Subjected to Static and Fatigue Flexural Loading , 2015 .
[14] Wen Ni,et al. Development of green engineered cementitious composites using iron ore tailings as aggregates , 2013 .
[15] V. Li,et al. Influence of aggregate type and size on ductility and mechanical properties of engineered cementitious composites , 2009 .
[16] V. Li,et al. Assessing Mechanical Properties and Microstructure of Fire-Damaged Engineered Cementitious Composites , 2010 .
[18] K. Hossain,et al. Investigation of Properties of Engineered Cementitious Composites Incorporating High Volumes of Fly Ash and Metakaolin , 2012 .
[19] Victor C. Li,et al. Design of Engineered Cementitious Composite Suitable for Wet-Mixture Shotcreting , 2003 .
[20] V. Li,et al. Rheological Control in Production of Engineered Cementitious Composites , 2009 .
[21] C. Willmott. Some Comments on the Evaluation of Model Performance , 1982 .
[22] V. Li. On Engineered Cementitious Composites (ECC) , 2003 .
[23] En-Hua Yang,et al. Use of High Volumes of Fly Ash to Improve ECC Mechanical Properties and Material Greenness , 2007 .
[24] G. Moze,et al. Engineered Cementitious Composites for Structural Applications , 2013 .
[25] Ercan Özgan,et al. Fuzzy logic and statistical-based modelling of the Marshall Stability of asphalt concrete under varying temperatures and exposure times , 2009, Adv. Eng. Softw..
[26] F. Yuan,et al. Effect of composition on flexural behavior of engineered cementitious composites , 2012 .
[27] Ali Sadrmomtazi,et al. Modeling compressive strength of EPS lightweight concrete using regression, neural network and ANFIS , 2013 .
[28] Indrajit Mukherjee,et al. Comparing the performance of neural networks developed by using Levenberg-Marquardt and Quasi-Newton with the gradient descent algorithm for modelling a multiple response grinding process , 2012, Expert Syst. Appl..
[29] Xin Yao,et al. Evolving artificial neural networks , 1999, Proc. IEEE.
[30] M. Arik,et al. Combined Effect of Aggregate and Mineral Admixtures on the Tensile Ductility of ECC , 2012 .
[31] Tadashi Saito,et al. Interface tailoring for strain-hardening polyvinyl alcohol-engineered cementitious composite (PVA-ECC) , 2002 .
[32] Ercan Özgan,et al. Artificial neural network based modelling of the Marshall Stability of asphalt concrete , 2011, Expert Syst. Appl..
[33] Serhan Ozdemir,et al. The use of GA-ANNs in the modelling of compressive strength of cement mortar , 2003 .
[34] Huisheng Shi,et al. Investigation of self-healing behavior of Engineered Cementitious Composites (ECC) materials , 2012 .
[35] Said M. Easa,et al. Artificial neural network model for the strength prediction of fully restrained RC slabs subjected to membrane action , 2006 .
[36] M. Arik,et al. Combined Effect of Aggregate and Mineral Admixtures on Tensile Ductility of Engineered Cementitious Composites , 2012 .
[37] Victor C. Li,et al. Engineered Cementitious Composites with High-Volume Fly Ash , 2007 .
[38] On Engineered Cementitious Composites ( ECC ) A Review of the Material and Its Applications , 2003 .
[39] Qian Zhang,et al. Mechanical and thermal properties of green lightweight engineered cementitious composites , 2013 .
[40] Gokmen Tayfur,et al. Strength Prediction of High-Strength Concrete by Fuzzy Logic and Artificial Neural Networks , 2014 .