Metaheuristic Prediction of the Compressive Strength of Environmentally Friendly Concrete Modified with Eggshell Powder Using the Hybrid ANN-SFL Optimization Algorithm

Abstract

The aim of this article is to predict the compressive strength of environmentally friendly concrete modified with eggshell powder. For this purpose, an optimized artificial neural network, combined with a novel metaheuristic shuffled frog leaping optimization algorithm, was employed and compared with a well-known genetic algorithm and multiple linear regression. The presented results confirm that the highest compressive strength (46 MPa on average) can be achieved for mix designs containing 7 to 9% of eggshell powder. This means that the strength increased by 55% when compared to conventional Portland cement-based concrete. The comparative results also show that the proposed artificial neural network, combined with the novel metaheuristic shuffled frog leaping optimization algorithm, offers satisfactory results of compressive strength predictions for concrete modified using eggshell powder concrete. Moreover, it has a higher accuracy than the genetic algorithm and the multiple linear regression. This finding makes the present method useful for construction practice because it enables a concrete mix with a specific compressive strength to be developed based on industrial waste that is locally available.

Enhanced Eco-Friendly Concrete Nano-Change with Eggshell Powder

“…In this case, the optimal dosage of eggshell powder as a replacement for part of the cement is 10%, as in [13,16,19,21], but the performance gains achieved in these works differ. The optimal dosages of ESP according to [10,13,16,18,[20][21][22] are from 5 to 15%. However, sometimes there are also more optimal amounts of added ESP, for example, 20% [15].…”

“…Additive [10] The addition of eggshell powder in an amount of 7-9% by weight of cement provides an increase in compressive strength up to 55% in comparison with the strength characteristics of samples of Portland cement. [11] According to the results of the study, it was found that the addition of powder in an amount of 15% is the most optimal and provides a decrease in water absorption up to 30%, an increase in compressive strength up to 29%, and a decrease in the thermal conductivity index up to 40% in comparison with similar indicators for samples of the control composition.…”

Prediction of Mechanical Properties of Highly Functional Lightweight Fiber-Reinforced Concrete Based on Deep Neural Network and Ensemble Regression Trees Methods

“…The problems, in turn, arising in the enterprises of the construction industry are expressed in manufacturing defects and the imperfection of prescription and technological factors that affect the quality of the resulting concrete, as well as in factors such as the influence of the human factor, errors in the selection of compositions, the production of concrete, and their assessment in terms of the ratio of initial parameters and output parameters. In this regard, it also implies the digitalization of all branches of modern industry, the application of artificial intelligence in the construction industry, and in particular, in concrete technology, which contains many vectors and directions for digitalization and improvement of properties, is seen as a relevant direction [ 10 , 11 , 12 , 13 , 14 , 15 , 16 ]. Currently, one of the relevant areas among artificial intelligence methods in industrial production is neural networks, which allow one to create systems for predicting output parameters, that is, the operational properties of any products, structures, buildings and structures that depend on the characteristics of the initial components and process parameters.…”

Investigation of the Mechanical, Microstructure and 3D Fractal Analysis of Nanocalcite-Modified Environmentally Friendly and Sustainable Cementitious Composites

“…The studies performed on environmentally friendly and sustainable composites recently have gained importance. Tosee et al [13] investigated the compressive strength of environmentally friendly concrete modified with eggshell powder using the hybrid ANN-SFL optimization algorithm. They found that the highest compressive strength was obtained for the samples containing 7-9% of eggshell powder and it was 55% higher than their control samples.…”