An immense amount of rice is cultivated globally, leading to the generation of large amounts of rice husk. Unfortunately, this husk is often disposed of in natural settings and lagoons. The alternative use of this material encourages replacing traditional building materials. Rice husk production in India is 31.40 million tonnes, which fills landfills and causes environmental problems. Concrete with this substance helps solve environmental and economic problems. This material's high silica content makes it pozzolanic. Extensive studies have been carried out in recent decades to evaluate the viability of incorporating it into different building construction methods. The sustainable development of the environment and economy of nations has benefited greatly from such research and innovations. Key findings indicate that this material has a positive impact on the strength and durability of concrete, while also contributing to a reduction in carbon emissions. It implications that this material has the potential to reduce construction expenses and encourage environmentally conscious building methods through the reuse of agricultural waste This study summarises historical research on rice husk-based concrete in infrastructure projects. Its physical and chemical features increase compressive, tensile, workability, durability, flexural strength, and water absorption. VOS viewer was used for bibliometric analysis of country and keyword data. The purpose of increasing the compressive strength when using rice husk ash as a replacement in cement is to enhance the durability and load-bearing capacity of concrete.

The ceramic industry produces a significant volume of ceramic waste (CW), representing around 20–30% of its the entire output. The waste mostly comes from challenges noticed in the manufacturing process, overproduction, and damage to products. Considering the substantial worldwide production of ceramics, it is crucial to efficiently handle and recycle this waste to promote sustainability efforts. This study explores the conversion of ceramic waste into fine aggregates suitable for the production of paver blocks. Currently, a variety of assessments are being conducted to determine the effectiveness of these enhanced paver blocks. The evaluations involve aspects like compressive strength, water absorption (WA), dry density, flow table measurements, ultrasonic pulse velocity (UPV), and rebound hammer tests. The results indicate that replacing natural aggregates with up to 30% CW significantly improves compressive strength (CS) and Rebound results from tests. This study provides useful information into optimising the content of CW in paver blocks, contributing to the development of sustainable and economical construction materials. Furthermore, it focusses on minimising landfill waste and preserving natural resources.

The disposal of industrial waste, such as ceramic and plastic waste, has led to significant environmental concerns, including greenhouse gas emissions and resource depletion. Recycling these materials is essential for promoting sustainability. Simultaneously, the construction sector contributes heavily to carbon dioxide (CO₂) emissions due to excessive extraction of natural resources. This study explores the potential of ceramic waste as a fine aggregate replacement and plastic waste as fiber reinforcement in mortar to improve mechanical properties and sustainability. The inclusion of plastic fibers enhances crack resistance and reduces brittleness, ensuring better structural performance. Key parameters such as dry density, ultrasonic pulse velocity, rebound hammer strength, and compressive strength were evaluated. The modified mortar exhibited a 30% increase in compressive strength, reaching 38.62 MPa compared to 33.05 MPa in conventional mortar, with an additional 0.6% plastic fiber incorporation. Furthermore, machine learning models, including Response Surface Methodology (RSM) and Artificial Neural Networks (ANN), were used for optimization and prediction, showing high accuracy. This study highlights the feasibility of utilizing waste materials in construction, reducing reliance on natural resources, and advancing eco-friendly, sustainable infrastructure.

The present research incorporates five AI methods to enhance and forecast the characteristics of building envelopes. In this study, Response Surface Methodology (RSM), Support Vector Machine (SVM), Gradient Boosting (GB), Artificial Neural Networks (ANN), and Random Forest (RF) machine learning method for optimization and predicting the mechanical properties of natural fiber addition incorporated with construction and demolition waste (CDW) as replacement of Fine Aggregate in Paver blocks. In this study, factors considered were cement content, natural fine aggregate, CDW, and coconut fibre, while the resulting measure was the machinal properties of the paver blocks. Furthermore, machine learning techniques to precision the predicting machinal properties were extensively evaluated. The outcomes from both the training and testing phases demonstrated the strong predictive power of RSM, SVM, GB, ANN, and RF with a criterion used Root Mean square error (RMSE), Mean square error (MSE), Mean Absolute Error (MAE) and correlation coefficient (R). Moreover, the results demonstrated that GB and ANN provide enhanced performance in comparison to SVM and RF for determining testing factors.

The global surge in glass waste generation, exceeding 130 million tons annually, presents a pressing environmental issue, compounded by inadequate recycling practices, it is concerning that the global recycling rate for glass waste is below 50%. This research investigates the utilization of WG as a FA substitute in paver block to mitigate the ecological footprint of conventional paver block while enhancing its mechanical properties. WG’s unique characteristics, such as high silica content and impermeability, make it a promising alternative. A comprehensive experimental approach, including tests like water absorption, dry density, workability, compressive strength, ultrasonic pulse velocity, and rebound hammer, demonstrated WG’s potential to improve concrete’s durability and performance. For instance, a 40% WGA replacement reduced the absorption rate 12%, while 20% WGA incorporation-maintained strength properties close to the control mix, with compressive strengths up to 30.80 MPa at 28 days. Employing RSM as predictive models, the study showed R² values of 0.9513, 0.9983, 0.9156, 0.9925, and 0.9895 for water absorption, dry density, compressive strength, ultrasonic pulse velocity, and rebound hammer, respectively. This study offers supporting global research efforts to advance sustainable and affordable construction materials, leading to a significant reduction in landfill waste and the conservation of precious natural resources worldwide.

Massive advancement of the infrastructure sector has caused an unforeseen increase in the demand for cement. To accommodate this need, the world expends 30 billion tonnes of cement concrete every year. The rapid growth of cement manufacturing has raised environmental and health concerns due to significant carbon dioxide emissions, contributing to global warming and climate change. A study suggests using sugar cane ash residue as a large-scale substitute for cement to reduce emissions. Handling waste goods is a cost-effective way to reduce pollution and promote sustainability. The study proposes replacing cement by 0% to 30% with 5% increment Sugarcane Bagasse Ash, with some investigators replacing up to 50%. The study with the incorporating sugarcane bagasse ash to concrete enhances its chemical, mechanical, and physical characteristics, such as its reduced permeability, increased strength, and low heat of hydration. The article examines the creation of high-quality SCBAs, emphasizing the importance of controlled combustion and the optimal cement replacement ratio of 10 to 20% for mechanical and durability properties. Overall study is examined for construction material development and Environmental Sustainability. Bibliometric analysis (keyword Analysis, Country Analysis) is performed through VOS viewer.