Golizadeh, H and Namini, S B (2015) Predicting the significant characteristics of concrete containing palm oil fuel ash. Journal of Construction in Developing Countries, 20(1), pp. 85-98. ISSN 1823-6499
Abstract
Palm Oil Fuel Ash (POFA) is used as a supplementary cementitious material in concrete. Using different percentages of POFA leads to a non-linear variation among the characteristics of concrete. This study aims at developing an empirical model to predict the compressive strength of concrete using POFA as a cement replacement material and other properties of the concrete such as the slump and modulus of elasticity using an artificial neural network. Mixtures of concrete were selected with water-to -binder ratios of 0.50, 0.55 and 0.60, and 10%, 20%, 30% and 40% of the cement content was POFA. The 28-day compressive strength was tested, and the experimental results show that 0%–20% of POFA inclusion in the concrete mixtures has the most positive effects on the compressive strength. Then, a three-layer feed forward-back propagation ANN model with three inputs and three outputs was developed. Finally, the best architecture for the model was trained, tested and validated.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | mixture proportioning; blended cement; compressive strength; artificial neural network |
| Index terms: | modulus of elasticity, cement replacement, palm oil fuel ash, back propagation, variation, artificial neural network, feed forward, compressive strength, mixture proportioning |
| Subjects: | contractual condition, material analysis and testing, material properties and characteristics, algorithms, modelling and simulation, building materials, control systems |
| Topics: | Contract Administration, Construction Materials, Research Practice, Digital Applications, Engineering Principles |
| Descriptive scope: | 3 PCA |
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