Experimental investigation on mechanical properties of concrete with partial replacement of cement and sand by glass powder and copper slag

Abstract

The construction industry generates a significant amount of waste newlinematerials, such as copper slag (CS) and glass powder (GP). With the rising newlinedemand for concrete due to urbanization and infrastructure development, newlinethere is a need to utilize resources efficiently and explore alternative newlinematerials. Copper slag and glass powder offer several advantages and can be newlineutilized as partial replacements for sand and cement in concrete mixtures, newlinepromoting sustainability and reducing the extraction of natural resources. This newlinestudy focuses on investigating the influence of CS and GP on the strength and newlinedurability properties of concrete mixtures. The primary objective is to newlineoptimize the concrete composition by incorporating these waste materials newlinewhile maintaining or enhancing the desired properties. The research explores newlinethe environmental benefits of using these waste materials and promotes newlineongoing research on sustainable waste material utilization. newlineThe study employs two innovative methods: Multi-objective newlineRobust Grey Wolf Optimization (MORGWO) and Long Short-Term Memory newlinecombined with Differential Evolution (LSTM-DE). The MORGWO newlinealgorithm inspired by the leadership and hunting prowess of grey wolves, newlinecombines social hierarchy-inspired mechanisms with multi-objective newlineoptimization and robustness concerns. This approach offers a distinctive newlinemethod for optimizing concrete mix designs, considering factors such as newlineworkability, strength, durability and cost. Additionally, the study utilizes newlineLSTM-DE, which combines Long Short-Term Memory (LSTM) with newlineDifferential Evolution. This approach aims to predict and optimize concrete newlinemix characteristics like compression, split tension and flexural strength. newline