Department of Civil and Enironmental Engineering

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Browsing Department of Civil and Enironmental Engineering by Author "Abdulwahab, Rasheed"

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    Incorporation of metakaolin and nanosilica in blended cement mortar and concrete- A review
    (Journal of Cleaner Production, 2021) Abdulwahab, Rasheed; Raheem, Ayinde Akeem; Kareem, Mutiu Abiodun
    The construction industries are focusing on the use of innovative, cost efficient and ecofriendly materials in infrastructural development. In view of this, there is need to search for alternative construction materials that can be used in place of the conventional normal concrete. There have been numerous materials that could be used as supplementary cementitious materials in concrete thereby making it sustainable and durable. Some of these materials are naturally occurring or byproducts of agro-based or manufacturing industries, and as well as agricultural wastes. Metakaolin being obtained from naturally occurring kaolin clay had been extensively used in place of cement in mortar/concrete making but much attentions have not been given towards considering the effect of the source of the clay on its reactivity properties as well as effect of factory blending approach of MK and clinker. Also, the delay in strength attainment of pozzolan blended concrete calls for incorporation of innovative materials that will enhance the development of strength at early stages. Nanoparticles are innovative construction materials ob tained from green plants or chemical and have been shown to enhance the development of mechanical properties of mortar and concrete at low age of curing with enhancement in microstructural arrange ment. There is need to explore more of the green method of synthesis as recent researches are tailored towards the reduction/eradication of greenhouse gases that could deplete the ozone layer. This article focuses on previous researches that have been carried out to investigate the effect of MK and nanosilica on the properties of mortar and concrete.
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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.