Modeling of Compressive Strength of Sustainable Self-Compacting Concrete Incorporating Treated Palm Oil Fuel Ash Using Artificial Neural Network

Tawfiq Al-Mughanam,Theyazn H H Aldhyani,Belal Alsubari,Mohammed Al-Yaari

doi:10.3390/su12229322

Tawfiq Al-Mughanam, Theyazn H H Aldhyani + Show 2 more

Open Access

https://doi.org/10.3390/su12229322

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Abstract

The utilization of a high-volume of treated palm oil fuel ash (T-POFA) as a partial cement substitution is one of the solutions presented to reduce carbon dioxide emissions (CO2) and improve concrete sustainability. In this study, the Adaptive Neuro-Fuzzy Inference System (ANFIS) is adapted as an artificial neural network (ANN) modeling tool to predict the compressive strength of self-compacting concrete (SCC) containing T-POFA. The ANFIS model has been developed and validated using concrete mixtures incorporating 0%, 10 wt%, 20 wt%, 30 wt%, 50 wt%, 60 wt%, and wt 70% T-POFA as a replacement of ordinary Portland cement (OPC) at a constant water/binder (W/B) ratio of 0.35. The experimental data were divided into 70% training data and 30% testing data. The experimental results of self-compacting concrete (SCC) containing T-POFA ensured comparable or higher compressive strengths, especially at later ages, when compared to the control SCC. However, the prediction results of the compressive strength of SCC samples using the ANFIS model are very close to the experimental values. The developed ANFIS model showed a highly-efficient performance to predict the SCC compressive strength. In addition, the obtained accurate predicted results using the developed ANN model will significantly affect the current experimental protocols, especially for costly and unsafe experiments.

Highlights

Our environment suffers from different serious issues, including the sustained increase in the emitted greenhouse gases and the generated solid wastes
This study aims to develop a highly efficient artificial neural network (ANN) model to predict the compressive strength of self-compacting concrete (SCC) containing low and high volumes of treated palm oil fuel ash (POFA) as a cement replacement material
SCCs contained treated palm oil fuel ash (T-POFA) are divided into low-volume (10%, 20%, and 30%) and high-volume (50%, 60%, and 70%) replacement levels

Summary

Introduction

Our environment suffers from different serious issues, including the sustained increase in the emitted greenhouse gases and the generated solid wastes. The combustion of fossil fuels used in the cement production process produces huge quantities of carbon emissions [1]. Cement production plants are considered one of the major producers of CO2, with 5% of the global carbon emissions [2]. Concrete consumption is steadily increasing, and the annual production rate is approximately 1 ton per capita [3], and 1 ton of CO2 is vented to the atmosphere per 1 ton of cement produced [4]. Oil palm trees (OPT) are cultivated in huge quantities in Asia, West Africa, and America, and the global generated OPT biomass was estimated to reach 110 Mt (dry basis) by 2020 [5]

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