• Anish Tulswani
• Anant Kumar

Concrete is a crucial substance extensively used in the construction sector, and concrete compressive strength, the measure of a material’s ability to withstand axial loads, and workability, the ease with which concrete can be mixed, transported, and placed are the key factors that determine the overall functioning of the construction and its structural integrity. For structures to last for a long time and be of high quality, it is essential to attain the desired compressive strength and workability. Existing methods for analyzing these attributes rely on physical testing or experimental trials. This project offers a thorough method for forecasting concrete's compressive strength and workability, which depends on its mix proportions. By utilizing an extensive collection of different concrete mixtures and their corresponding compressive strength values, the research identifies key factors influencing these characteristics. The dataset of concrete mix ingredients, such as cement content, water, fine & coarse aggregates, and admixtures, is analyzed. To find the most important parameters, feature selection methods are used after the dataset has been preprocessed to eliminate inconsistencies. This research shows both compressive strength and workability can be accurately estimated by predictive approach, obtaining the best accuracy with R2 value more than 95%.

Concrete, Compressive Strength, Workability, Mix Proportion, Experimental Trials, Predictive Approach, Feature Selection, Construction Quality, Preprocessing, R2 Value.

"Analysis of Compressive Strength and Workability of Concrete by Predictive Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 8, page no.e702-e715, August-2025, Available :http://www.jetir.org/papers/JETIR2508494.pdf

"Analysis of Compressive Strength and Workability of Concrete by Predictive Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 8, page no. ppe702-e715, August-2025, Available at : http://www.jetir.org/papers/JETIR2508494.pdf