ABSTRACT
Proper
disposal of waste has been a challenge in the world today due to its effect on
the ecosystem, as the gases emitted to the atmosphere poses a huge problem to
the ozone layer. In a bid to remediate this, several techniques have been
developed which includes proper waste recycling and incineration methods.
Studies have shown that Sawdust, a waste material from wood processing
industries in its Ash form poses a certain percentage of cementitious
properties, which can be used in re-engineering and improving the strength
properties of problematic lateritic soils and hence this study is aimed at treating
weak lateritic soil materials using sawdust ash and developing a mathematical
model to predict the Unconfined
Compressive Strength (UCS) and California Bearing Ratio (CBR) of the lateritic
soil treated with sawdust ash for sustainable earthwork constructions. The
geotechnical properties of the soil were examined, and the soil and saw dust
ash were characterised using Scanning Electron Microscopy (SEM) and X-Ray
Diffraction (XRD). The lateritic soil was stabilized using percentage saw dust
ash of 0%, 2%, 4%, 8% and 10% and the UCS and CBR of the stabilized soil were
examined. Multi-linear regression of the UCS and CBR of the stabilized soil was
investigated using the historical design of Response Surface Methodology (RSM)
in design expert software. The results indicated that the lateritic soil
contains SiO2, Al2O3, Fe2O3,
CaO, MgO, Na2O, K2O, SO2, P2O5
and MnO. The SEM result for the lateritic soil showed clumped particles made of
Al2O3, SiO2, and Fe2O3, while
the saw dust ash SEM indicated a brittle surface with a high surface area. The
XRD patterns of the unstabilized of lateritic soil and saw dust ash indicated
that quartz (Qz) is the predominant mineral. The highest CBR of 15.3% was
achieved at 4% SDA content. The measure of the unconfined compressive strength
cured after 7, 14 and 28days showed that an increase in the SDA increased the
UCS of the soil with maximum value of 195.60 kN/m3, 197.92 kN/m3
and 202.48 kN/m3 UCS obtained at 7 days, 14 days and 28 days
curing respectively. The multiple linear regression for the stabilization of
the lateritic soil gave linear regression models with R-squared of 0.991852 with adjusted R-Squared of
0.97963 for CBR and an R-squared of 0.989856 with an adjusted R-Squared of 0.97464 for UCS. It was recommended that cement
requirement for road work could be substantially reduced to an optimum level
and partially replaced by sawdust ash for road work to reduce the cost of
materials.
JESUBORN, J (2024). Predicting the Unconfined Compressive Strength and California Bearing Ratio of Lateritic Soil Stabilized with Sawdust Ash Using Multiple Linear Regression:- Obimba-Wogu, J. Repository.mouau.edu.ng: Retrieved Dec 26, 2024, from https://repository.mouau.edu.ng/work/view/predicting-the-unconfined-compressive-strength-and-california-bearing-ratio-of-lateritic-soil-stabilized-with-sawdust-ash-using-multiple-linear-regression-obimba-wogu-j-7-2
JESUBORN, JESUBORN. "Predicting the Unconfined Compressive Strength and California Bearing Ratio of Lateritic Soil Stabilized with Sawdust Ash Using Multiple Linear Regression:- Obimba-Wogu, J" Repository.mouau.edu.ng. Repository.mouau.edu.ng, 23 Apr. 2024, https://repository.mouau.edu.ng/work/view/predicting-the-unconfined-compressive-strength-and-california-bearing-ratio-of-lateritic-soil-stabilized-with-sawdust-ash-using-multiple-linear-regression-obimba-wogu-j-7-2. Accessed 26 Dec. 2024.
JESUBORN, JESUBORN. "Predicting the Unconfined Compressive Strength and California Bearing Ratio of Lateritic Soil Stabilized with Sawdust Ash Using Multiple Linear Regression:- Obimba-Wogu, J". Repository.mouau.edu.ng, Repository.mouau.edu.ng, 23 Apr. 2024. Web. 26 Dec. 2024. < https://repository.mouau.edu.ng/work/view/predicting-the-unconfined-compressive-strength-and-california-bearing-ratio-of-lateritic-soil-stabilized-with-sawdust-ash-using-multiple-linear-regression-obimba-wogu-j-7-2 >.
JESUBORN, JESUBORN. "Predicting the Unconfined Compressive Strength and California Bearing Ratio of Lateritic Soil Stabilized with Sawdust Ash Using Multiple Linear Regression:- Obimba-Wogu, J" Repository.mouau.edu.ng (2024). Accessed 26 Dec. 2024. https://repository.mouau.edu.ng/work/view/predicting-the-unconfined-compressive-strength-and-california-bearing-ratio-of-lateritic-soil-stabilized-with-sawdust-ash-using-multiple-linear-regression-obimba-wogu-j-7-2