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This study investigates the synergistic effects of graphene oxide (GO) and limestone calcined clay cement (LC3) on the mechanical properties and durability of concrete. Various concrete mixes were prepared, including a reference mix, conventional concrete with 0.04% GO, and LC3 mixes with different clinker to calcined clay ratios (50:30, 45:35, and 40:40), both with and without GO. The mechanical properties were evaluated through compressive strength and split tensile strength tests, while durability was assessed using rapid chloride permeability, rapid chloride migration, water absorption, and corrosion rate measurements. The results revealed that the incorporation of GO in conventional concrete significantly improved both mechanical and durability properties. Among the LC3 mixes, the 45:35 clinker to calcined clay ratio exhibited the best performance. The combination of GO and LC3 resulted in remarkable enhancements, with the LC3 mix containing 0.04% GO and a 45:35 clinker to calcined clay ratio demonstrating the highest strength and durability performance. A strong positive correlation between compressive strength and split tensile strength was observed, and a power function equation was derived to predict split tensile strength based on compressive strength. The findings highlight the potential of combining GO and optimized LC3 for the development of sustainable and high-performance concrete with enhanced mechanical properties and durability.

Waste glass of the same property replaces coarse aggregate in this project. Waste glass will be replaced at 5%, 10%, 15%, 20%, and 25%, and the cubes will be cast and tested for compressive strength and workability at 7, 14, and 28 days. The project’s goal is to compare the strength of normal concrete to concrete with varied percentages of discarded glass. This research article presents a comprehensive analysis of the replacement of coarse aggregate in concrete, employing Response Surface Methodology (RSM), Multiple Linear Regression (MLR), and Artificial Neural Networks (ANN) as predictive models. To determine physical qualities, cement, fine aggregate, and coarse aggregate are tested. Slump cone and compressive strength tests are performed on fresh and hardened concrete, respectively. This casted M20 grade cube of 150 mm side undergoes all the aforesaid tests according to Indian standards. 5%, 10%, 15%, 20%, and 25% waste glass is added to M20 grade concrete. The investigation showed that the proposed equations generated more accurate compressive strength in optimized RSM and forecasts than MLR and ANN. The proposed equations have lower MAE, RMSE, mean, and R2 values than the LRM and ANN. The compressive strength testing machine measures cube compressive strength. The data's variability was captured by the ANN model's effective R2threshold.

A study conducted by researchers at Uttaranchal University explores the development of biodegradable composite materials using natural fibers for food packaging. The research highlights the need for alternative packaging materials due to the environmental impact of non-degradable plastic packaging. The study examines the mechanical behavior of different compositions of natural fibers, such as Aloe Vera, Jute, and Coir, and concludes that Jute material performs better than others as a potential replacement for packaging material. This research provides valuable insights into the potential use of renewable and eco-friendly materials in the packaging industry. [Extracted from the article]