[PDF] Top 20 Artificial Neural Network Model for Predicting Compressive Strength of High Strength Concrete after Burning
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Artificial Neural Network Model for Predicting Compressive Strength of High Strength Concrete after Burning
... of concrete under high temperature involve complex physicochemical transformations in the ...as concrete mix design, properties of the constituents, heating rate, temperature level etc(Willam et al, ... See full document
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1. Predicting compressive strength of concrete containing ternary combination of industrial by-products as partial replacement of cement and fine aggregates using ann and anfis
... on artificial neural networks (ANN) and Adaptive neuro-fuzzy inference systems (ANFIS) have become popular and have been widely used to solve a variety of problems in many areas of science and engineering ... See full document
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Research Review and Modeling Of Concrete Compressive Strength Using Artificial Neural Networks
... predictions. Artificial neural network is one of the techniques through which these predictions can be made with limited ...the compressive strength of concrete using ... See full document
6
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... of strength of engineering ...applied artificial neural networks to the prediction of the mechanical behaviour of concrete materials at high ...an artificial neural ... See full document
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Modeling of Concrete Slump and Compressive Strength using ANN
... Artificial neural systems are a group of massively similar architecture that may solve difficult problems through cooperating with highly interconnected but basic computing ...forward neural networks with ... See full document
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Concrete Mix Design Using Artificial Neural Network
... of Artificial Neural Networks (ANN) Model for approximate proportioning of concrete ...propagation neural network is integrated in the model to learn experimental data ... See full document
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Artificial Neural Network Model for Compressive Strength of Lateritic Blocks
... The compressive strength of block is one of the most important and useful property of ...blocks. Compressive strength of block must be known in other to model the behavior of laterite ... See full document
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PREDICTING CONCRETE STRENGTH USING ARTIFICIAL INTILIGENCE
... known, concrete is an essential material in civil ...of concrete is ...of concrete in terms of its density, homogeneity and providing information about the strength ...for predicting ... See full document
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Evaluation of Ultimate Torsional Strength of Reinforcement Concrete Beams Using Finite Element Analysis and Artificial Neural Network
... for concrete is utilized for fracture of the beams. This behavioral model is applied when the tension-cracking in the concrete is dominant, and the compressive failure is not ... See full document
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Compressive Strength of Confined Concrete in CCFST Columns
... 6. After the pre-acceptance of desirable networks, the best network is ...best network number of hidden neurons is ...simulated compressive strengths of the steel-confined concrete from ... See full document
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Prediction of Pervious Concrete Permeability and Compressive Strength Using Artificial Neural Networks
... Pervious concrete has been recommended as an alter- native pavement surface to help reduce runoff as com- pared to traditional impervious ...The high void content in pervious concrete allows for ... See full document
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USE OF ARTIFICIAL NEURAL NETWORK TO IDENTIFYCOMPRESSIVE STRENGTH OF CONCRETE
... of concrete such as its elastic behavior and in some extent its service performance can be approximated, directly or indirectly, from its strength ...compression strength with a high degree of ... See full document
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Predicting Fire Effects on Compressive Strength of Normal Strength Concrete with Nanoparticles Additives using Artificial Neural Network
... proposed model were compared with those of the regression ...proposed model, as previously illustrated, and then to develop an empirical equation for prediction of ... See full document
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Prediction of Compressive Strength of Concrete using Artificial Neural Network
... The network parameters tested in the proposed model included the following: training data = 60%, validation data = 20% and testing data = 20%, the number of hidden layers was 1, 2 and 3, the number of ... See full document
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Prediction of Compressive Strength of High Performance Concrete using Artificial Neural Network (ANN) Models
... ANN model was suitable for predicting the compressive strength values very closely with the experimental ...super-plasticized high performance concrete by using SF and FA (10%, ... See full document
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Using Artificial Neural Network to Predict the Compressive Strength of Concrete containing Nano silica
... the neural network approach in predicting the ...the neural networks are trained on actual test data, they are trained to deal with inherent noisy or imprecise ...the neural ... See full document
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Prediction Of The Compressive Strength Of Palm Kernel Shell Ash Concrete Using Multilayer Feed Forward Neural Network
... Feed-Forward Artificial Neural Network (MLFNN) model for predicting the compressive strength of concrete containing palm kernel shell ash (PKSA) as partial cement ... See full document
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Experimental study on mechanical properties of high strength concrete using Nano Silica
... of concrete with the help of innovative chemical admixtures and supplementary cementations ...in concrete is a new revolutionary movement in construction ...in concrete to modify its strength ... See full document
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The investigation of techniques for increasing the compressive strength of high-strength concrete.
... All such benefits are usually based on results from tests on concrete mixes with w/c ratios greater than about 0.4-5 by weight. Little has been said about the use of water reducing agents at lower w/c ratios. ... See full document
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Behaviourial Study of the Concrete on Partial Replacement of Cement by Fly Ash
... Compressive strength: Long-term strength development is improved when fly ash is used and at some age the strength of the fly ash concrete will equal that of the Portland cement ... See full document
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