BITS Faculty Publications
Permanent URI for this communityhttp://localhost:4000/handle/123456789/1867
Browse
2 results
Search Results
Item Enhancing subgrade properties of black cotton soil through the combined use of sugarcane bagasse ash and ceramic waste powder(IOP, 2024) Kakade, Vijay B.This study explores the potential of Sugarcane Bagasse Ash (SBA) and Ceramic Waste Powder (CWP) in enhancing the poor black cotton (BC) soils, known for their swelling and shrinking tendencies due to high clay content. BC soils can compromise construction stability when exposed to moisture. The research involves mixing BC soil with varying proportions of SBA and CWP: 2.5% SBA and 5% CWP, 5% SBA and 10% CWP, 7.5% SBA and 15% CWP, and 10% SBA and 20% CWP. Laboratory tests show that higher SBA and CWP ratios reduce plasticity, free swell index, and Optimum Moisture Content (OMC) in the soil. This indicates that SBA and CWP additions mitigate soil plasticity and swelling. Moreover, parameters such as Maximum Dry Density (MDD), California Bearing Ratio (CBR), and unconfined compressive strength improve as SBA and CWP content increases, indicating enhanced soil strength. Laboratory findings support using up to 7.5% SBA and 15% CWP for effective subgrade soil stabilisation. A Plaxis 2D model confirms that these proportions significantly enhance pavement subgrade stability. In summary, this study demonstrates the positive impact of SBA and CWP on BC soils, reducing plasticity and swelling and improving soil strength. Using specific proportions of SBA and CWP effectively enhances subgrade soil stability, as verified by Plaxis 2D modelling.Item Impact analysis of laterally distributed truck wheel loads on pavement performance of multilane highway using strip-based approach(Springer, 2025-03) Kakade, Vijay B.The lateral distribution of truck wheel loads is a natural phenomenon observed on multi-lane roads, as not all the vehicles travelling along a road are using the same wheel path. The lateral distribution of wheel loads is a critical concern from a pavement design point of view as it signifies how the traffic loads are distributed on multi-lane roads. Thus, there is a need to evaluate the exact position of laterally distributed vehicles on multi-lane roads. In this study, the strip-based concept is used to identify the exact location of the passing vehicle along the road. The impacts of these loads were measured in terms of pavement damage analysis using the layered elastic method. In this regard, a strip with the maximum number of axle repetitions is identified called the critical strip, and quantified the fatigue and rutting damage ratio of the critical strip. Further, damage analysis is conducted for the most accumulated lane named design lane, and compared their fatigue and rutting damage ratio with the fatigue and rutting damage ratio of the critical strip. The findings of the study indicate that the design of pavement using lane-based analysis will overestimate the thickness of the pavement as compared to strip-based analysis.