Browsing by Author "Adamu, H. N."

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A COMPARATIVE ANALYSIS OF GRILLAGE METHOD AND BEAM LINE ANALYSIS OF A REINFORCED CONCRETE WAFFLE BRIDGE DECK
(2023) Adamu, H. N.; Abbas B.A.; Abubakar, M.; Yusuf, A.; Kolo, D.N.; Shehu, M.
The analysis of a reinforced concrete waffle bridge deck using Chanchaga Bridge as a case study was carried out with the aid of computer programme written in MATLAB. The bridge deck which is a beam bridge was idealized to be a waffle slab. A mathematical model of the bridge was developed using the method of grillages because very complex shapes of problem domain with prescribed conditions can be handled easily using the method. The bridge deck was modelled as interconnection of grid elements. The analysis was carried out using direct stiffness matrix method. The nodal displacements and the resulting static internal forces; shear forces, bending moments and twisting moments of each grid element were determined using the matrix. The results obtained using the method of grillages were then compared with beam line analysis and the former method gave a 10% decrease in forces which will result in the reduction of overall design and materials by 10%.
A Comparative Analysis of Grillage Method and Beam line Analysis of a Reinforced Concrete Waffle Brifge Deck
(Nigeria Journal of Engineering and Applied Sciences (NJEAS), 2022-01-23) Adamu, H. N.; Abbas, B. A.; Abubakar, M.; Yusuf, A.; Kolo, D. N.; Shehu, M.
The analysis of reinforced concrete waffle bridge deck using Chanchaga bridge as a case study was carried out with the aid of computer program written in MATLAB. The bridge deck which is a beam bridge was idealized to be a waffle slab. A mathematical model of the bridge was developed using the method of grillages because very complex shapes of problem domain with prescribed conditions can be handled easily using the method. The bridge deck was modelled as interconnection of grid elements. The analysis was carried out using direct stiffness matrix method. The nodal displacements and the resulting static internal forces; shear forces, bending moments and twisting moments of each grid element were determined using the matrix. The results obtained using the method of grillages were then compared with beam line analysis and the former method gave a 10% decrease in forces which will result in the reduction of overall design and materials by 10%.
Computer-aided analysis of reinforced concrete waffle bridge deck using the method of grillages
(International Civil Engineering Conference (2018) (ICEC2018)., 2018) Adamu, H. N.; Sadiku, S.; Bala Alhaji
This paper aims to analyse a reinforced concrete waffle bridge deck using method of grillages where the topping and ribs are analysed as a monolithic unit in contrast to the conventional methods where the slab and beams are analyzed differently. In addition, the grillage approach accounts for the torsion that is usually lost in the conventional approach. The slab loading is in line with the HA loading of the BS 5400 part 2 for lightly loaded (accommodation) bridges. One of the strength of this approach is that it is amenable to computer application which has been demonstrated by using a code written in Matrix Laboratory (MATLAB) software and therefore easy for field use by practitioners. For the purpose of rendering this approach amenable to computer application, a program was used to determine the displacements, bending moments and torsional moments in the bridge deck. It is observed that the values of bending moments obtained from grillage analysis are lower than the moments from conventional beam-slab analysis carried out manually. Bending moments and other responses generated by conventional beam-slab approaches are usually exaggerated thereby reducing the anticipated benefits of waffle slab.
Development of Statistical Model For Predicting Flexible Pavement Deterioration Due To Traffic Loading
(USEP: Journal of Research Information in Civil Engineering, 2024) Adamu, H. N.
Flexible pavements are critical transportation components but are highly susceptible to deterioration caused by traffic loading, pavement conditions, and environmental factors. This study develops a predictive model to estimate pothole deterioration rates using traffic count and pavement structural strength. Data were collected from the Talba-Mandela road in Minna, Niger State Nigeria, over 14 weeks including weekly measurements of pothole volume, traffic counts and pavement structural numbers. A multiple linear regression model was calibrated, achieving a 𝑅² of 80.8%. Validation indicated less than 10% deviation between observed and predicted data. These findings provide a data-driven approach to optimizing pavement maintenance schedules, reducing costs, and improving road durability.
Models to Predict the Fresh and Hardened Properties of Palm Kernel Shell Concrete
(Malaysian Journal of Civil Engineering, 2022-01-12) Kolo, D. N.; Tsado, T. Y.; Abbas, B. A.; Adamu, H. N.
Concrete is an assemblage of Cement, aggregates and water, the most frequently used fine aggregate for concrete production is sand sourced from river banks. The continuous exploitation of available granite conventionally used as coarse aggregate in concrete production coupled with rapid infrastructural development has resulted in its scarcity and often high cost. The suitability of utilising Palm Kernel Shell (PKS) as partial replacement for coarse aggregate in concrete production was examined in this paper. Preliminary tests were conducted on all aggregates to determine their suitability for concrete production. Concrete with 5, 10, 15, 20 and 25% PKS-coarse aggregate content was cast with a mix ratio of 1:2:4. The freshly prepared Palm Kernel Shell Concrete (PKSC) was cast in moulds measuring 150 x 150 x 150mm and cured using ponding method. The Compressive strength result shows that an increase in the PKS content results in a decrease in compressive strength of concrete. Linear regression models for the slump and compressive strength of the PKSC were developed and found to be sufficient in predicting the compressive strengths with R2 values of 96% and 92 % respectively.