Browsing by Author "Odeyemi, Samson"

Now showing 1 - 4 of 4
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    Determination of Load Carrying Capacity of Clay Bricks Reinforced With Straw
    (Universiti Tun Hussein Onn Malaysia, 2017) Odeyemi, Samson; Akinpelu, Mutiu
    Sandcrete block is a dominant material for wall construction, but it is often characterized with high cost and low strength property. This has necessitated the need to source for new materials within our environment. Clay is a natural material that is widely available in many countries of the world, and it has the potential to establish better strength property than sandcrete blocks when mixed with straw. The straw serves as reinforcement that increases its compressive strength. The results obtained from this research shows that with the addition of straw (0.0025%, 0.005%, 0.0075% and 0.01%) at water-clay mixing ratio of 0.15, the compressive strength of the clay brick increased up to 148% of the strength of the clay without straw. The Scanning Electron Micrograph (SEM) results shows a strong adhesion between brick and straw fiber without any sign of brick saturation. This reveals that the addition of straw increased the compressive strength of the clay brick.
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    Evaluation of splitting tensile and compressive strength relationship of self-compacting concrete
    (Elsevier, 2019) Akinpelu, Mutiu; Odeyemi, Samson; Muhammed, Fatimah; Olafusi, Oladipupo
    Research findings have reported a behavioural relationship between the splitting tensile strength and compressive strength of concretes. This work studied both the experimental and analytical relationships that exist between splitting tensile strength and compressive strength of both vibrated concrete (VC) and self compacting concrete (SCC) of similar grades. Both concrete types were designed to achieve target compressive strength of 20 N/mm2, 30 N/mm2 and 40 N/mm2 at 28 days. The compressive and splitting tensile properties were measured on cylindrical concrete specimens of 150 mm diameter × 300 mm length at 28-days using a compression testing machine. The analytical work tested seven different reported models relating the two measured parameters for VC on SCC, while the Welch 2 sample t-test statistical technique was adopted to check the normality and equality of variance of the results. Experimental findings revealed that the ratio of the splitting tensile to compressive strengths for VC and SCC decreases with increasing compressive strength, and the analytical study revealed that similar analytical model could be adopted for both concrete types as there is no statistically detectable difference between their results.
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    Scour Depth Prediction for Asa Dam Bridge, Ilorin, Using Artificial Neural Network
    (Trans Tech Publications Ltd, Switzerland, 2020) Odeyemi, Samson; Akinpelu, Mutiu; Abdulwahab, Rasheed
    Bridge Scour is the localized loss of the geomaterials around the foundation of a bridge as a result of the movement of water around it. Scour is a great risk to the stability of a bridge’s foundation, thus leading to collapse, loss of lives and setback in a nation’s socio-economic life. Artificial Neural Networks (ANN) are collections of simple, highly connected processing elements that learn according to sets of input parameters and use that to simulate the networks of nerve cells of humans or animal central nervous system. The Asa Dam Bridge, one of the longest bridges in Ilorin, Kwara State, Nigeria, has five (5) spans of 20m each. The bridge connects Ilorin to the Ogbomosho Express way (leading to the western part of the country) and the Eyenkorin-Jebba road (leading to the north). Thus, the bridge has a high economic value. In this research, factors such as flow depth, average flow velocity of the river and median sediment size were investigated to show how they affect the depth of scour around the bridge pile foundation. Data were taken for a period of 48 weeks and ANN was applied to predict and generate a model that shows how these factors relate to the scour depth of the riverbed. The model revealed that the hydraulic parameters and soil grading around the pile cap of Asa River Bridge bears significant influence on the scour depth of its foundation. The model was compared with five (5) other established scour equations.
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    Strength Properties of Steel and Bamboo Reinforced Concrete Containing Quarry Dust, Rice Husk Ash and Guinea Corn Husk Ash
    (Shiraz University, 2022) Odeyemi, Samson; Akinpelu, Mutiu; Rasheed Abdulwaha
    The rising cost of concrete production due to the global recession in world economy caused by the COVID-19 pandemic and the greenhouse gases emitted in the production of cement has necessitated the need for alternative materials for cement. In this study, bamboo strips and steel rebars were used as reinforcements in a ternary blended concrete to determine their strength properties. In alignment with standard requirements for testing, concrete specimens were tested at curing ages of 7, 14 and 28 days for compressive, splitting tensile and flexural strengths. The morphological and bond characteristics of the bamboo were determined through the Scanning Electron Microscopy (SEM) and Fourier Transform Infra-Red Spectroscopy (FTIR), respectively; while its tensile strength was determined and compared with that of steel reinforcement. These results showed that bamboo is ductile and has stretching vibrational spectrum. The combinations of quarry dust, river sand, Rice Husk Ash (RHA) and Guinea Corn Husk Ash (GCHA) yielded compressive and split tensile strengths of 20.4 N/mm2 and 2.18 N/mm2, respectively. Concrete with 50 % river sand and 50 % quarry dust performed better in flexure for both Bamboo Reinforced Concrete (BRC) and Steel Reinforced Concrete (SRC) at 28 days with strengths of 12.75 N/mm2 and 22.49 N/mm2, respectively. Therefore, bamboo, quarry dust, rice husk and guinea corn husk ash can be used for reinforced concrete production.