Browsing by Author "Abdulrahman, H. S."

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Assessment of the Compressive Strength of Concrete Produced with Fine Aggregate from Different Locations in Minna
(3rd International Engineering Conference (IEC 2019) Federal University of Technology, Minna, Nigeria, 2019) Aminulai, H. O.; Abdullahi, A.; Abubakar, Mahmud; Abdulrahman, H. S.; Alhaji, B.; Joseph, O. F; Aliyu, S. Y
The construction industry in Nigeria has been witnessing serious collapse of buildings resulting from the qualities of materials used in their construction. This continuous collapse necessitates the need to investigate some of the materials used in the production of the building components in order to ascertain their appropriateness. This research thus investigates the compressive strength of concrete produced using fine aggregate from different locations in Minna. Fine aggregates were obtained from Chanchaga, Maikunkele, Bosso, Lapai Gwari and Garatu areas of Minna and subjected to series of tests namely: sieve analysis, Specific gravity, bulk density, moisture content, and water absorption. Concrete samples were produced using the mix ratio 1:2:4 and the water/cement ratio of 0.6. These samples were subjected to both the slump test and compressive strength test. For each of the fine aggregates, nine cubes of concrete (150mm x 150mm x 150mm) were cast, cured and tested at 7, 14 and 28 days. The results obtained for the mean compressive strength of the concrete produced shows that they all have mean strength greater than 20N/mm2 with fine aggregate from Chanchage having the highest mean of 25.17N/mm2 at 28days of curing. Thus all the fine aggregates could be used in the production of structural lightweight concrete but for structures that require higher strength, the fine aggregate from Chanchaga is recommended
Comparative Assessment of Macroscopic Traffic Flow Properties Estimation Methods: A Case for Moving Car Observer Method
(ENGINEERING SCIENCE AND TECHNOLOGY INTERNATIONAL RESEARCH JOURNAL, 2017) Abdulrahman, H. S.; Almusawi, A. A.; Abubakar, Mahmud
Different methods of estimating macroscopic traffic properties is expected to have varying results even when they are carried out on the same road and during the same time interval. A comparative assessment was carried out between traffic data collected at a point and that collected over a short section; Moving car observer method(MCO). Student’s t-test was used to evaluate both data and it was observed that there was no significant difference between them. The MCO method correlates well with conventional data collection method and it can be used as a substitute for it, assuming conventional data collection method is true
Environmental Effects of Road Construction Waste
(. USEP: Journal of Research Information in Civil Engineering, 2023-02-12) Kolo, S. S.; Abdulrahman, H. S.; Kolo, D. N.; Shehu, M.; Adamu, H. N.,; Eze, F. E.
This research work investigates the various waste streams generated during road construction and their effect on environment. The method employed in this research work is categorized into waste type generated on construction site using reconnaissance surveys, data collection and data analysis methods. Four construction project sites in Minna, Nigeria, were used with the aim that these sites will provide a platform to acquire valuable data. It was discovered that mortar or concrete waste and wood waste has the highest percentage of 22% to 39% and asphalt has about 4 % waste and this was largest percentage of waste generated and this was mainly due to the human error, the use of inadequately trained and unskilled labour. The study however made case for adequate attention and concentration towards improving effective waste management by implementing proper waste management and disposal systems and encouraging the use of recycled materials in road construction. This will greatly reduce the cost of construction, increase efficiency, reduce work time and replenish the earths rapidly depleting natural resources used in construction like wood and bitumen.
Investigation of headway distribution of traffic dominated by motorcycles
(8th Advanced Engineering Days (AED) – 8 December 2023 – Mersin, Türkiye, 2023) Abdulrahman, H. S.; Kolo, S. S.; Abubakar, Mahmud; Shehu, M.
The use of lower class vehicles such as two or three wheelers have become the preferred urban transport in some developing countries. However, most of the traffic theories adopted are from developed countries where cars are prevalent. The headway probability distribution models can be used to describe vehicle-to-vehicle interactions. Most of these distributions are parametric and makes an underlining assumption about the data. A case study was conducted to investigate the performance of the different probability distributions that best describes the vehicle to vehicle interaction of motorcycle dominated road in Bida, Niger state Nigeria. The different parametric distributions and non-parametric distribution (Kernel) of the data were tested for the goodness-of-fit. The test results indicate that the kernel distribution fits best with improved P-values which in turn gives a better description for the headways than other distribution models considered. This study can serve as a foundation for developing generalized headway models in developing countries
Numerical Investigation of Reinforced Concrete Beam Containing Iron Ore Tailings as Partial Replacement of Sand
(Conference: 4 th International Conference on Innovations and Challenges in Engineering and Technology for Sustainable DevelopmentAt: Arba Minch University, Ethiopia, 2023) Abubakar, Mahmud; Haruna, M. I.; Abdulrahman, H. S.; Abbas, B. A.
The production of industrial and agricultural residual by-products can generate significant environmental impact. In response, researchers have begun incorporating supplementary materials made from agro-industrial wastes to create more sustainable concrete. However, testing the performance of these waste-based concrete mixtures can be time-consuming and expensive. To address this issue, this study utilized three dimensional non-linear Finite Element simulation using the ABAQUS/CAE software to predict the behavior of a reinforced concrete beam that incorporated 20% IOT as partial sand replacement. The simulation successfully predicted the damage behavior of the 20% IOT concrete, indicating the potential of this modeling approach to accurately predict the performance of waste-based concrete mixtures in various designs.