Road pavement thickness and construction depth optimization using treated and untreated artificially-synthesized expansive road subgrade materials with varying plasticity index

Amakye, Samuel Y.O.; Abbey, Samuel J.; Booth, Colin A.; Oti, Jonathan

Abstract

Road pavement thickness and their depth of construction take a chunk of the overall cost of road construction. This has called for a need for reduced road pavement thickness by improving the engineering properties of subgrade such as the California bearing ratio (CBR). The CBR of road subgrade has been a major determining factor for road pavement thickness, and expansive subgrades generally have a low CBR, resulting in major road defects. In this study, road pavement thickness and construction depth optimization were conducted using the CBR values achieved in this study. Additives proportions of 8% lime and 20% cement were used in expansive subgrade to improve their engineering properties, making them suitable for use in road construction. The study investigated the characteristics, mineral structure, Atterberg limit, compaction, CBR, swell and microstructural properties of expansive subgrade. The results show a reduction in road pavement thickness and a construction depth with an increase in CBR value. All CBR values for treated samples were above 2%, making them usable in road construction. A reduction in swell potential up to 0.04% was observed for treated expansive subgrade. The study concluded that pavement thickness and construction depth can be reduced by enhancing subgrade materials and using cement and lime as binders.

• Journal Article Type: Article
• Acceptance Date: Apr 7, 2022
• Online Publication Date: Apr 9, 2022
• Publication Date: Apr 9, 2022
• Deposit Date: May 17, 2022
• Publicly Available Date: May 18, 2022
• Journal: Materials
• Print ISSN: 1996-1944
• Electronic ISSN: 1996-1944
• Publisher: MDPI
• Peer Reviewed: Peer Reviewed
• Volume: 15
• Issue: 8
• Article Number: 2773
• DOI: https://doi.org/10.3390/ma15082773
• Public URL: https://uwe-repository.worktribe.com/output/9531757