Concrete Production Research Articles

Strength and Durability of Concrete with Quarry Dust as a Sand Substitute

Abstract Growth has increased demand for natural sand, producing depletion and environmental difficulties. Quarry dust—a byproduct of rock crushing—is studied as a sustainable substitute for natural sand in M40-grade concrete. Significant effects on workability and compressive strength at various replacement weight percentages of 10%, 20%, 30%, and 40% are the main focus. According to IS 10262-2019 and IS 516-1959, 45 concrete samples were cast, cured, and evaluated at 7, 14, and 28 days. Replacing up to 20% of fine aggregate with quarry dust boosts compressive strength. The peak strength after 28 days was 46.35 MPa, significantly less than the average mix's 47.23 MPa. Performance diminishes beyond this threshold, with strengths decreasing to 35.21 MPa at 30% replacement levels and 34.04 MPa at 40%. The results show that quarry dust can replace natural sand due to its similar physical and chemical properties. Use of recycled industrial waste in concrete saves sand supply, decreases environmental harm, and supports circular economy. This study revealed that sustainable concrete production at 20% replacement may retain durability and strength. Quarry dust's environmental benefits may help the building industry become greener and more resource-efficient. Keywords: M40 Concrete Mix, Quarry Dust, Fine Aggregate Replacement, Sustainable Construction, Compressive Strength.

Determination of Optimum Diatomite Ratio in Foam Concrete Production

One of the most used construction materials today is concrete. Accordingly, concrete and concrete technology are developing rapidly. One of these developments is foam concrete. Research on foam concrete has increased day by day. One of the reasons for this is that foam concrete has a low density and high thermal insulation properties. In this study, the compressive strength and unit volume weight properties of foam concrete produced using diatomite sand (0-4 mm), a natural lightweight material, were emphasized. In the study, 5 different foam concrete designs were made in order to determine the mixing ratios of the foam concrete that gave the highest compressive strength and the lowest unit volume weight value. In these designs, the components other than diatomite (W/C ratio, micro silica sand, foaming agent, water) were kept constant, while diatomite was added at 32, 36, 40, 44 and 48% of the cement weight. The most suitable technical features in hardened foam concrete were determined as 860 kg/m3 unit volume weight, 5,23 MPa compressive strength, 4,27% water absorption, 1,56 km/s ultrasound transmission speed of foam concrete samples produced with 36% of cement weight. As a result of the experimental studies, the optimum diatomite ratio in foam concrete production was found to be 36% of cement weight.

Physical and Microscopic Characterization of Thermal Treatment Products of Plant Waste for Recycling in Sustainable Construction

Organic plant waste is a significant source of environmental pollution, necessitating proper disposal methods. One sustainable approach is recycling this waste for beneficial applications. Recent studies have explored the potential of incorporating organic waste into construction materials. In this study, selected municipal organic wastes—orange peel, corn cob and husk, pineapple leaf, and garden grass—were characterized and evaluated for their suitability in mortar and concrete production. A preliminary assessment involved substituting various percentages of sand with these organic residues in mortar mixtures. Among the tested materials, garden grass yielded the most promising results, exhibiting compressive strengths comparable to the control sample after seven days of curing. Based on these findings, mortar and concrete samples were prepared with 5% and 10% volumetric replacement of sand by grass. After seven days of curing, mortar samples with 5% and 10% grass replacement achieved 88% and 74.6% of the control sample’s compressive strength, respectively. Similarly, concrete samples reached 87% and 85% of the control strength after 28 days of curing. These results suggest that recycling garden grass as a partial sand substitute in mortar and concrete is a viable option. However, further research is necessary to determine the optimal substitution percentage and to evaluate long-term durability, ensuring safe and effective implementation in construction applications.

INVESTIGATION ON THE POTENTIALS OF CUPOLA FURNACE SLAG ASH AS PARTIAL REPLACEMENT FOR CEMENT IN CONCRETE STRUCTURES

The compressive strength of the concrete designed using blast cupola furnace slag and granulated cupola slag as a coarse aggregate and partial replacement for cement was investigated. A series of experimental studies were conducted involve concrete production in two stages. The first stage comprised of normal aggregate concrete (NAC) produced with normal aggregates and 100% ordinary Portland cement (OPC). Meanwhile, the second stage involved production of concrete comprising of cupola furnace slag an aggregates with 100% ordinary Portland cement (OPC) and subsequently with 2%, 4%, 6%, 8% and 10% cementitious replacement with granulated cupola furnace slag that had been grounded and milled to less than 75 µm diameter. The outcomes of compressive strength test conducted on the slag aggregate concrete (SAC) with and without granulated slag cementitious replacement were satisfactory compared to normal aggregate concretes (NAC).

Evaluating the sustainability and mechanical characteristics of concrete fabricated from waste porcelain tiles

In recent years, there has been a major improvement in the manufacturing of dependable concrete that can withstand applied stresses and has a long lifespan. Because of its availability and potential to lessen the impact on the environment, the manufacturing of concrete has moved towards the use of sustainable resources. Sustainability depends on maintaining the environment before natural resources are depleted and using energy efficiently. This study looks into how replacing the waste from porcelain tiles with coarse aggregate (CA) affects the mechanical properties of concrete, including its compression, flexural, and tensile splitting strengths, as well as its permeability (water absorption). It was compared to the traditional mix to achieve improved performance, conservation of resources, and a smaller carbon footprint. This was done by applying environmental impact assessment (EIA) procedures. With a specific water-to-cement ratio, the percentages of porcelain tile waste that are replaced by CA are 25%, 35%, and 50%, respectively. The results demonstrate that the concrete made with 25% porcelain replacement has great workability, permeability, and mechanical properties, as well as the best environmental effect evaluation. Additionally, microstructural studies using scanning electron microscopy (SEM) technology show a clear decrease in micro-cracks and porosity when concrete has high strength, good bonding, and sustainable behavior.

AutoGluon-enabled machine learning models for predicting recycled aggregate concrete’s compressive strength

ABSTRACT The use of recycled aggregates (RA) is promising in concrete production for construction projects. Therefore, accurately predicting the compressive strength (CS) of this concrete is crucial for understanding the behaviour of such concrete. This study marks an inaugural effort to evaluate the AutoGluon framework for predicting CS for RA concrete. In this novel framework, categorical boosting (CatBoost), light gradient boosting machine (LightGBM), weighted ensemble (WeightENS) and extreme gradient boosting (XGBoost) were considered. The variables used for the modelling were curing days, quantity of cement, water, recycled aggregate, coarse aggregate and fine aggregate. Various statistical and graphical tools were used to evaluate the effectiveness of the proposed models. The findings showed that the CatBoost model achieved the highest prediction performance with a minimal root mean squared error (RMSE) of 1.45. The feature importance evaluation indicated that cement is the most influential variable for CS models. Overall, the study highlights that AutoGluon provides a reliable and robust framework for modelling in structural engineering. Additionally, AutoGluon eliminates the need for an exhaustive and time-intensive process of hyperparameter optimisation.

Improving Recycled Concrete Aggregate Performance via Microbial-Induced Calcium Carbonate Precipitation: Effects of Bacterial Strains and Mineralization Conditions

The use of recycled coarse aggregates (RCA) in concrete production offers significant environmental and economic benefits. However, the high water absorption and low mechanical strength of RCA, caused by residual mortar and internal cracks, severely limit its application. This study employed microbial-induced calcium carbonate precipitation (MICP) technology to improve RCA performance, systematically investigating the effects of key parameters such as bacterial strains, bacterial concentration, modification duration, and urea addition sequence. This study employed microbial-induced calcium carbonate precipitation (MICP) technology to enhance the performance of RCA. The investigation systematically examined the effects of key parameters, including bacterial strains (Bacillus subtilis, urease mixed bacteria, and Bacillus pasteurii), bacterial concentrations (0, 2.4 × 107 cells/mL, 9.3 × 107 cells/mL, 2.49 × 108 cells/mL, and 2.36 × 109 cells/mL), modification durations (0 d, 3 d, 7 d and 14 d), and urea addition sequences (urea added to the calcium source, urea added to the culture medium, and added to the bacterial solution followed by 2 h of incubation). The impact of MICP treatment on RCA’s water absorption, apparent density and resistance to ultrasonic impact was analyzed. Scanning Electron Microscopy (SEM) and X-ray Diffraction (XRD) were used to characterize the microstructure and composition of calcium carbonate deposits, revealing the mechanisms by which MICP enhances RCA performance. The results showed that optimized MICP treatment reduced RCA water absorption by 32.5%, with the optimal conditions being a bacterial concentration of 2.4 × 107 cells/mL, a modification duration of 7 days, and a two-hour urea resting period. It is primarily due to calcium carbonate filling pores and sealing cracks, which significantly improves the structural integrity of RCA. This study demonstrates that MICP is an effective and sustainable method for RCA modification, providing theoretical support and practical insights for the recycling of construction waste and the promotion of green building materials.

High-Volume Fly Ash Concrete for Road Pavement: Integrated Laboratory and Field Study

The current study presents the result of experimental works that determine the differences in engineering properties between high-volume fly ash concrete (HVFC) in the laboratory and the field as well as the economic and environmental feathers of HVFC. The target application of HVFC is for constructing level-4 concrete pavement in rural areas, thus the standard design criteria of 28-day concrete compressive strength of 41.3 MPa with equivalence flexural strength of at least 4.5 MPa and surface abrasion of below 0.6 g/cm2. The mix design formula for HVFC in the laboratory and the field was almost similar. However, a minor difference in the quantity of each concrete ingredient can be found due to its moisture (water content) adjustment. Additionally, this investigation conducts and discusses a comparative performance in terms of workability, cost-effectiveness, and environmental impacts. The test results revealed that HVFC mixtures in the laboratory and the field exhibited good workability (18 ± 2 cm), which is suitable and easy for real construction. Importantly, HVFC specimens prepared in the laboratory and collected from the field had compressive strength values beyond 41.3 MPa at 28 days. The strength was further developed at the later ages of concrete. In addition, all concrete specimens demonstrated good abrasion resistance, satisfying the standard requirement for real practice. Generally, the laboratory-HVFC demonstrated slightly better performance than the field-HVFC. As compared to normal concrete production, incorporating large amounts of FA in concrete brings significant benefits in cost reduction (by 25.3%) and CO2 emissions (by 54.6%). Further, the concentration of primary heavy metals leached from the HVFC was below the threshold of the Vietnamese standard, indicating the eco-friendly and sustainable HVFC, suggesting for use in pavement construction.

Towards sustainable construction: estimating compressive strength of waste foundry sand-blended green concrete using a hybrid machine learning approach

Concrete production necessitates a large quantity of fine aggregate. The use of waste foundry sand (WFS) to replace natural fine aggregate significantly enhances the sustainability of the construction industry. This study proposes and verifies a novel approach for estimating the compressive strength (CS) of concrete mixes that contain WFS. The research methodology involves a literature review to identify explanatory variables for CS estimation and the construction of a historical dataset, which consists of 430 samples. This dataset is used to train and verify a hybrid machine learning method, which is an integration of Light Gradient Boosting Machine (LightGBM) and Biogeography-Based Optimization (BBO). LightGBM is used to construct a functional mapping between the CS and its influencing factors. BBO optimizes the training phase of the machine learning approach. The proposed model is evaluated using root mean square error (RMSE), mean absolute percentage error (MAPE), and coefficient of determination (R2). Notably, an asymmetric loss function is employed during the training phase of LightGBM to restrict overestimations. Finally, a Python program with a graphical user interface is developed to facilitate practical application of the new approach. Experimental results show that the proposed model, named BBO-LightGBM, has achieved good predictive performance with an RMSE of 3.92 and a MAPE of 8.46%. BBO-LightGBM is capable of explaining roughly 95% of the variability in the response. Moreover, the proposed framework is able to reduce the proportion of overestimations by roughly 18%. This study demonstrates the potential of BBO-LightGBM in providing accurate and reliable estimations of the CS of WFS-blended concrete.

Development of OptiCon: A Mathematical Model with a Graphical User Interface for Designing Sustainable Portland Cement Concrete Mixes with Budget Constraint

The production of Portland Cement Concrete (PCC) generates significant environmental impacts that increase climate change and decrease people’s quality of life. Recent studies highlight the potential to reduce these environmental burdens by partially replacing Portland cement with Supplementary Cementitious Materials (SCMs) and coarse aggregates with Recycled Concrete Aggregate (RCA). However, designing PCCs with simultaneous contents of SCMs and RCA is not easily manageable because current design procedures fail to adjust all of the variables involved. In order to overcome these limitations, this research introduces a novel mathematical model designed to develop operationally efficient PCC mixes that are both environmentally sustainable and cost-effective. The proposed model, denominated OptiCon, employs the Life-Cycle Assessment and Life-Cycle Costs Analysis methodologies to evaluate the incorporation of three different SCMs (i.e., fly ash, silica fume, and steel slag) and RCA into PCC mixes. OptiCon is also integrated within a graphical user interface in order to make its implementation straightforward for potential users. Thus, OptiCon is operationalized through an algorithm, offering a replicable approach that can be adapted to various contexts, providing both a theoretical framework and a practical tool for state agencies, engineers, suppliers, and other stakeholders to adopt more environmentally friendly practices in concrete production. Furthermore, a case study from northern Colombia analyzed thirty mix design scenarios with varying supplier conditions (foreign, local, or mixed), calculating costs and CO2 emissions for a fixed concrete volume of 1 m3. The findings demonstrated that utilizing OptiCon can achieve substantial reductions in both CO2 emissions and production costs, underscoring the model’s efficiency and practical impact.

Explainable artificial intelligence-based compressive strength optimization and Life-Cycle Assessment of eco-friendly sugarcane bagasse ash concrete.

Investigations on the potential use of sustainable sugarcane bagasse ash (SCBA) as a supplementary cementitious material (SCM) in concrete production have been carried out. The paper employs model agnostic eXplainable Artificial Intelligence (XAI) to develop interpretable models for the compressive strength of SCBA concrete. A dataset of SCBA concrete, comprising of 2616 data points, was first established. Then, black box machine learning models were employed for predicting compressive strength of SCBA concrete. White box modelling using model agnostic XAI explanations for the influence of different input parameters on the compressive strength of SCBA concrete was then used for the local and global interpretations of influencing parameters. Based on the relative influence of features on the compressive strength of SCBA concrete, a nonlinear model equation was thus developed. Optimization of SCBA concrete mixes was done and it was found that a compressive strength of 40MPa could be achieved for water to binder content ranging from 0.42 to 0.48 with low cement content. Additionally, the Life-Cycle Assessment (LCA) was carried out, and finally, it was proposed that SCBA concrete has potential for becoming an alternate eco-friendly building material.

An Experimental Investigation on Sustainable Concrete Made with Refractory Brick as a Substitute of Natural Fine Aggregate

In the face of the pressing global issue of waste management and the diminishing availability of natural resources, the management of non-biodegradable waste materials, including brick waste, poses significant challenges. Ineffective disposal practices not only create logistical obstacles but also pose health hazards. This study explores the potential of utilizing waste refractory bricks (RB) as a sustainable substitute for natural fine aggregates in concrete production. Various experimental investigations were conducted to evaluate the feasibility and performance of RB sand in concrete mixtures. Tests included assessments of fresh and hardened properties, such as slump values, compressive strength, tensile strength, flexural strength, and resistance to elevated temperatures. The research revealed that RB sand, when used as a partial replacement for fine aggregates, can significantly enhance the compressive strength of concrete, with optimal results observed at a 30% replacement level. Moreover, RB-based concrete exhibited improved split tensile strength compared to traditional concrete, particularly at replacement levels of 10% to 30%. Flexural strength also showed notable improvements, with the 40% replacement level demonstrating optimal performance. Additionally, the study investigated the effects of elevated temperatures on concrete specimens and found that RB-based sustainable concrete showed higher compressive strength retention compared to conventional concrete at a 30% replacement level. Furthermore, weight variation analysis indicated that RB-based concrete had a lower density compared to traditional concrete. Overall, the findings suggest that incorporating RB sand in concrete mixtures could offer a promising solution for sustainable construction practices, contributing to environmental conservation and human health preservation by reducing reliance on natural aggregates and minimizing adverse environmental impacts.

Eco-friendly alternative activators derived from industrial wastes for the sustainable production of two-part geopolymer concrete at low cost

Eco-friendly alternative activators derived from industrial wastes for the sustainable production of two-part geopolymer concrete at low cost

Greenhouse gas emission of recycled concrete production for pavement construction considering carbon uptake

Greenhouse gas emission of recycled concrete production for pavement construction considering carbon uptake

Split Tensile Strength of Palm Kernel Shell and Expanded Polystyrene Composite Coarse Aggregates Lightweight Concrete

The purpose of this study was to examine the bulk density and split tensile strength of concrete that was completely substituted with composite Palm Kernel Shell (PKS) and Expended Polystyrene (EPS) for regular weight coarse aggregate. In the majority of nations worldwide, the environmental effects of managing agricultural and industrial waste have been a major source of worry. Conventional aggregate concrete's high density and self-weight, together with the environmental issues associated with their extraction, have equally alarmed stakeholders in the construction sector. Contrary to the aforementioned problem claims, this study concludes that using these industrial and agricultural wastes in the manufacturing of concrete is essential for social, economic, and environmental reasons. Table 1 displays the findings of the different material parameters, Figure 1 shows the concrete bulk densities at 7, 21, and 28 days of curing, which are 1640 kg/m3, 1647 kg/m3, and 1647 kg/m3, respectively. Plotting 0.054Mpa, 0.062Mpa, and 0.08Mpa split tensile strengths versus curing ages of 7, 21, and 28 days is shown in Figure 2. This study's 28-day split tensile strength of 0.08 MPa is roughly 4% of the minimum split tensile strength of 2 MPa required by ASTM C496 for normal aggregate concrete, 9% of the minimum value of 0.95 MPa determined by Nur et al. for the use of plastic waste in concrete, and 3.2% of 2.5 MPa for oil palm shell replacement of 5% for coarse aggregate. This concrete should only be used for constructions without severe loads or traffic, and not for structural lightweight concrete.

Optimized Management of a Sustainable Ready-Mix Concrete Batching Plant for High Grade Concrete Production

Abstract: The creation of high-quality concrete requires meticulous attention to various factors that influence its quality and performance. This research aims to examine three critical elements involved in the production of high-strength concrete to enhance quality, sustainability, and operational efficiency. The study identifies key factors that impact the production of premium concrete and develops a comprehensive checklist for concrete production and batching plant operations. This checklist serves as a standardized tool for quality control and operational management, ensuring consistency and reliability in production processes. Additionally, the research explores the contribution of supplementary cementitious materials (SCMs), with a particular emphasis on pulverized fuel ash (fly ash), in improving the performance characteristics of high-strength concrete. The evaluation of fly ash is performed to assess its effectiveness in enhancing workability, strength, and durability, while also fostering sustainable construction practices. The study underscores significant challenges encountered by Ready-Mix Concrete (RMC) plants, including process inefficiencies, material inconsistencies, and quality assurance difficulties. Based on these insights, a set of recommendations is proposed to mitigate these challenges, thereby strengthening operational resilience and ensuring the delivery of high-quality concrete. This investigation integrates quality management, material innovation, and risk mitigation strategies to advance the production of high-strength concrete and the operations of RMC plants.

A Review on “Utilization of Recycled and Waste Materials in Construction Applications”

In order to move towards a sustainable construction, it is relevant to implement waste management policies in the construction sector that promote closed-loop material cycle. In this context, utilization of wastes as secondary construction materials represents an important path to reduce the extraction of huge quantities of primary raw materials. The continuous global demand for infrastructure due to persistent increase in population growth implies that more aggregate would be required in concrete production. In concrete construction, aggregates are one of the main ingredients in producing concrete that covers 75% of the total concrete. This would eventually lead to more extraction and depletion of natural resources and increased carbon emission.More production equals more waste, more waste creates environmental concerns of toxic threat. An economical viable solution to this problem should include utilization of waste materials for new products which in turn minimize the heavy burden on the nation’s landfills. Recycling of waste construction materials saves natural resources, saves energy, reduces solid waste, reduces air and water pollutants and reduces greenhouse gases. The construction industry can start being aware of and take advantage of the benefits of using waste and recycled materials. Studies have investigated the use of acceptable waste, recycled and reusable materials and methods. The use of swine manure, animal fat, silica fume, roofing shingles, empty palm fruit bunch, citrus peels, cement kiln dust, fly ash, foundry sand, slag, glass, plastic, carpet, tire scraps, asphalt pavement and concrete aggregate in construction is becoming increasingly popular due to the shortage and increasing cost of raw materials. In this study a questionnaire survey targeting experts from construction industry was conducted in order to investigate the current practices of the uses of waste and recycled materials in the construction industry. This study presents an initial understanding of the current strengths and weaknesses of the practice intended to support construction industry in developing effective policies regarding uses of waste and recycled materials as construction materials.

Physics-informed modeling of splitting tensile strength of recycled aggregate concrete using advanced machine learning

Physics-informed modeling (PIM) using advanced machine learning (ML) represents a paradigm shift in the field of concrete technology, offering a potent blend of scientific rigor and computational efficiency. By harnessing the synergies between physics-based principles and data-driven algorithms, PIM-ML not only streamlines the design process but also enhances the reliability and sustainability of concrete structures. As research continues to refine these models and validate their performance, their adoption promises to revolutionize how concrete materials are engineered, tested, and utilized in construction projects worldwide. In this research work, an extensive literature review, which produced a global representative database for the splitting tensile strength (Fsp) of recycled aggregate concrete, was indulged. The studied concrete components such as C, W, NCAg, PL, RCAg_D, RCAg_P, RCAg_wa, Vf, and F_type were measured and tabulated. The collected 257 records were partitioned into training set of 200 records (80%) and validation set of 57 records (20%) in line with a more reliable partitioning of database. Five advanced machine learning techniques created using the “Weka Data Mining” software version 3.8.6 were applied to predict the Fsp and the Hoffman & Gardener method and performance metrics were also used to evaluate the sensitivity and performance of the variables and ML models, respectively. The results show the Kstar model demonstrates the highest level of performance and reliability among the models, achieving exceptional accuracy with an R2 of 0.96 and Accuracy of 94%. Its RMSE and MAE are both low at 0.15 MPa, indicating minimal deviations between predicted and actual values. Additional metrics such as WI (0.99), NSE (0.96), and KGE (0.96) further confirm the model’s superior efficiency and consistent performance, making it the most dependable tool for practical applications. Also the sensitivity analysis shows that Water content (W) exerts the most significant impact at 40%, demonstrating that the amount of water in the mix is a critical factor for achieving optimal tensile strength. This underscores the need for careful water management to balance workability and strength in sustainable concrete production. Coarse natural aggregate (NCAg) has a substantial impact of 38%, indicating its essential role in maintaining the structural integrity of the concrete mix.

Enhancement of concrete performance with xanthan gum: potential of natural biopolymer

The study examines the use of Ethiopian acacia tree gum as a natural biopolymer to enhance the properties of concrete. However, the limited number of long-term studies poses challenges in fully understanding the durability and effectiveness of gum-modified concrete. The main objective of this study is to evaluate how Xanthan gum can improve the longevity and performance of concrete. Various commonly used procedures are employed in laboratory settings to assess concrete’s mechanical, durability, and morphological properties. It is crucial to adhere to standardized testing procedures and protocols to obtain accurate and reliable results. The xanthan gum percentage used for this study is 0.1%, 0.2%, 0.3%, 0.4%, and 0.5% as an additive. By making a mixture more viscous, xanthan gum improves its flow properties. Investigations indicate that Xanthan gum can extend the setting time of concrete, resulting in compressive strengths of 32.8 MPa and flexural strengths of 3.3 MPa at 0.4% replacement of Xanthan gum. In addition, the addition of Xanthan gum shows that as Xanthan gum increases the water absorptions are going to decrease. X-ray diffraction analysis reveals that it is predominantly amorphous, with a distinct peak at 18.76°. The elemental composition analysis confirmed the presence of key minerals, such as SiO2, Al2O3, Fe2O3, CaO, and MgO, which provide specific advantages for concrete production. Xanthan gum also functions as a water-reducing admixture, further improving the material’s strength. This study highlights the importance of sustainability and environmental considerations in concrete production.

A study of performance characteristics of combined waste polymer enhanced bitumen on hot and warm mix asphaltic concretes

Asphalt is extensively employed as a pavement component in the construction of roads. However, inadequate performance of conventional Hot Mix Asphaltic (HMA) and Warm Mix Asphaltic (WMA) concretes necessitate the adoption of polymer for bitumen modification. There are indications that modification of asphalt with Waste Plastic Bottle (WPB) and Waste Sachet Water (WSW) enhances the performance of HMA and WMA concretes. This study investigated the efficiency of HMA and WMA concretes modified with Combined Waste Polymer (CWP). Bitumen with a penetration grade of 60/70 was weighed into ten different containers before being heated for producing Hot Bitumen Mix (HBM). Sasobit was added to the 60/70 bitumen at a rate of 3.5% by weight to produce Warm Bitumen Mix (WBM). The HBM and WBM were modified with CWP in proportions ranging from 2 to 18% at 2% frequencies. The penetration (P), softening point (SP), and specific gravity (SG) have been established on HBM and WBM samples. Aggregates and filler were added to HBM and WBM samples to produce HMA and WMA concrete samples, respectively. Marshall quotient and Microstructural properties of the HMA and WMA concrete samples were evaluated. The obtained values of P, SP, and SG were 33–70 mm, 55–78 °C, 1.01–1.12, respectively for HBM and WBM samples. The range for Marshall quotient results for HMA and WMA concretes were 1.73–3.46 kN/mm and 2.50–3.63 kN/mm, respectively. The microstructural studies revealed that CWP modified HMA and WMA concrete samples demonstrated enhanced bulk density and compact strength. The incorporation of WPB and WSW into the production of HMA and WMA concretes has the potential to significantly improve their performance. This study is in tandem with the Sustainable Development Goals 12 and 13. Further investigation utilizing WPB and WSW, in conjunction with their corks, is hereby recommended.