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<p>Employing recycled solid waste as alternative construction materials presents considerable opportunities for diminishing waste disposal expenses and preserving natural resources. This study investigates the partial substitution of cement with Egg Shell Powder (ESP), Sea Shell Powder (SSP), and Recycled Mortar Powder (RMP) in cement mortar bricks. The study involved making cement mortar with a 1:2 ratio and testing mixtures with ESP, SSP, and RMP amounts of 5%, 10%, and 15%, respectively. The results show bricks with 10% ESP have better properties: they absorb 1.4% more water, are sound enough, have hardness of 21, and have compressive strength of 29.68 N/mm<sup>2</sup> after 28 d, and which is closely matched with predicted value 30.12 N/mm<sup>2</sup> from model. It is better at absorbing water by 7.53% when 5% SSP is added. It sound, has a hardness of 31, and a compressive strength of 28.63 N/mm<sup>2</sup>, and predicted value of 28.56 N/mm<sup>2</sup>. It absorbs 3.61% water, is sound enough, has a hardness of 23.75, and has a compressive strength of 29.62 N/mm<sup>2</sup> and predicted as 30 N/mm<sup>2</sup> when 15% RMP is used. A Multilayer Perceptron (MLP) Neural Network was utilized to evaluate brick performance, with predicted values aligning closely with the observed data. Results indicate the application of 10% ESP, 5% SSP, and 15% RMP enhances the characteristics of cement mortar bricks, fostering cost-effectiveness and sustainability in buildings.</p>

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Predicting cement brick performance using Multilayer Perceptron Neural Networks

  • 期刊论文

  • 发表日期：

    2026年3月27日

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  • Laxmi Narayana Pasupuleti,
  • Anusha Nataru,
  • Bhavani Sai kumar Yv

摘要

Employing recycled solid waste as alternative construction materials presents considerable opportunities for diminishing waste disposal expenses and preserving natural resources. This study investigates the partial substitution of cement with Egg Shell Powder (ESP), Sea Shell Powder (SSP), and Recycled Mortar Powder (RMP) in cement mortar bricks. The study involved making cement mortar with a 1:2 ratio and testing mixtures with ESP, SSP, and RMP amounts of 5%, 10%, and 15%, respectively. The results show bricks with 10% ESP have better properties: they absorb 1.4% more water, are sound enough, have hardness of 21, and have compressive strength of 29.68 N/mm2 after 28 d, and which is closely matched with predicted value 30.12 N/mm2 from model. It is better at absorbing water by 7.53% when 5% SSP is added. It sound, has a hardness of 31, and a compressive strength of 28.63 N/mm2, and predicted value of 28.56 N/mm2. It absorbs 3.61% water, is sound enough, has a hardness of 23.75, and has a compressive strength of 29.62 N/mm2 and predicted as 30 N/mm2 when 15% RMP is used. A Multilayer Perceptron (MLP) Neural Network was utilized to evaluate brick performance, with predicted values aligning closely with the observed data. Results indicate the application of 10% ESP, 5% SSP, and 15% RMP enhances the characteristics of cement mortar bricks, fostering cost-effectiveness and sustainability in buildings.