Browsing by Author "YUSUF, Abdulazeez"

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Analysis of Statically Determinate Trusses using Exact Method (Joint Resolution Method) and Matrix Stiffness Method
(USEP: Journal of Research Information in Civil Engineering, 2017-10-10) A. Abdullah; I. T. Yusuf; M. Abubakar; H. O. Aminulai; YUSUF, Abdulazeez; B. Alhaji
Matrix Stiffness Method (MSM) as a tool for static analysis of structures is premised on the principle of Finite Element Method (FEM), which in itself is a numerical/approximate method capable of giving only approximate results. However, Joint Resolution Method (JRM) is one of the most popular classical/exact methods of static analysis capable of giving exact results. This paper presents an analysis of a statically determinate 2-D truss using Exact/Joint Resolution Method (JRM) and Matric Stiffness Method (MSM) to ascertain the validity of the latter against the former. In the JRM, the support reactions and internal member forces were obtained from considerations of the equilibrium conditions of the entire truss and isolated joints respectively. On the other hand, a computer program was written in MATLAB 7.8.0 (R2009a) based on the principles of MSM for ease of computation and increased accuracy to solve for member forces and reactions of the same truss. The element properties were obtained and employed to calculate the element stiffness matrices, these were then assembled into the global stiffness matrix, from which the unknown displacements, member forces and support reactions were calculated. The results obtained from using both JRM and MSM were found to be exactly the same or very close, with percentage errors ranging between 0% and 3%. Hence MSM results as compared to JRM have 97% accuracy and above, and can therefore be relied upon.
APPLICATION OF ARTIFICIAL INTELLIGENCE FOR PREDICTING THE COMPRESSIVE STRENGTH OF CONCRETE USING NATURAL AGGREGATE
(2nd Annual Seminar of The Nigerian Society of Engineers Bida Branch:, 2023-10-05) Okafor A.; YUSUF, Abdulazeez; Abbas B. A.; Kolo D. N.; Adelasoye J.
This seminar presentation explored the application of various artificial intelligence techniques such as Artificial Neural network (ANN), Adaptive Neuro-Fuzzy Inference System (ANFIS) and Multiple Linear Regression (MLR) for predicting the compressive strength of concrete using natural aggregates. Twenty-seven different experimental data points which was augmented to 180 data points was used in the study. The ANN, ANFIS and MLR models were developed, trained, tested and validated with the augmented data using MATLAB software. Statistical evaluators like the R2, MSE and the RMSE was used to evaluate the algorithm with the strongest predictive capability. The results obtained from the analysis revealed distinct performance variations among the three AI models studied. Both the ANN and ANFIS models consistently demonstrated superior predictive capabilities compared to the MLR model. The ANN gave R2 of 1, MSE of 8.66e-26 and RMSE 2.94e-13, the ANFIS gave R2 values of 1, MSE of 0.00033 and RMSE of 0.0183 while the MLR reported R2 values of 0.1243, MSE of 85.93 and RMSE of 9.27. The ANN model was adjudged to be the best prediction model for concrete containing natural aggregate based on the performance metrics.
ASSESSMENT OF THE HYGROTHERMAL PROPERTIES OF MORTAR USING QUARRY DUST
(1st International Civil Engineering Conference (ICEC 2018), 2018-09-22) Okafor A.; YUSUF, Abdulazeez; Abdullahi A.
Assessment of the hygrothermal properties of mortar using quarry dust as fine aggregate was studied. The material used include Ordinary Portland Cement, water and quarry dust. Preliminary test such as particle size distribution, bulk density, moisture content and specific gravity were conducted on the aggregate in accordance to BS EN 1097:6. The mortar was prepared using a mix ratio of 1.4 and cured for 28 days. Water absorption, porosity and sorptivity test were the properties measured. Fineness modulus of 2.94, specific gravity of 2.42 and water absorption of 1.4% was recorded. The porosity and sorptivity were within the limit set by standard but the water absorption capacity was slightly higher that the limit specified. The study concluded that quarry dust can be used in the production of structural mortar.
ASSESSMENT OF THE PROPERTIES OF HIGH STRENGTH CONCRETE MADE USING QUARRY DUST AS FINE AGGREGATE
(1st International Civil Engineering Conference (ICEC 2018), 2018-09-22) Mohammed T.A.; YUSUF, Abdulazeez; Abdullahi A.
The study was carried out to assess the properties of High-strength concrete made using Quarry dust as Fine aggregate. Preliminary tests were carried out on the aggregates to determine their suitability for use in High- strength concrete. The aggregates were well graded and other properties met the requirements of aggregates to be used for High-strength concrete. Superplasticizer and Rice husk were used as chemical and mineral additives to improve the workability and other properties of the concrete. Based on the properties of the aggregates, a mix ratio of 0.23:0.51:0.044:1.05:0.7:0.2, representing cement: fine aggregate: coarse aggregate: superplasticizer: water: rice husk was used. Concrete cubes of 100x100x100 mm were cast, cured and the 28-day compressive strength determined. An average 28-day compressive strength of 63 N/mm2 was obtained. This can be categorized as class I high strength concrete and is applicable in the construction of high rise buildings. The Study therefore concludes that quarry dust can be used as total replacement for fine river sand in high strength concrete production.
ASSESSMENT OF THE PROPERTIES OF HIGH STRENGTH CONCRETE MADE USING QUARRY DUST AS FINE AGGREGATE
(2018-09-22) Mohammed T.A.; YUSUF, Abdulazeez; Abdullahi A.
The study was carried out to assess the properties of High-strength concrete made using Quarry dust as Fine aggregate. Preliminary tests were carried out on the aggregates to determine their suitability for use in High- strength concrete. The aggregates were well graded and other properties met the requirements of aggregates to be used for High-strength concrete. Superplasticizer and Rice husk were used as chemical and mineral additives to improve the workability and other properties of the concrete. Based on the properties of the aggregates, a mix ratio of 0.23:0.51:0.044:1.05:0.7:0.2, representing cement: fine aggregate: coarse aggregate: superplasticizer: water: rice husk was used. Concrete cubes of 100x100x100 mm were cast, cured and the 28-day compressive strength determined. An average 28-day compressive strength of 63 N/mm2 was obtained. This can be categorized as class I high strength concrete and is applicable in the construction of high rise buildings. The Study therefore concludes that quarry dust can be used as total replacement for fine river sand in high strength concrete production.
Design of A Composite Traffic Control System at Kpakungu Roundabout Minna, Niger State.
(Nigeria Journal of Engineering and Applied Sciences (NJEAS), 2016-08-10) Kolo S.S; Adeleke O. O; Ayeni S. J; Akinmade T; Abubakar M.; YUSUF, Abdulazeez
A composite traffic control method is proposed to control traffic and ease congestion especially during peak periods at Kpakungu roundabout in Minna, Niger state. Reconnaissance survey of the roundabout was carried out to note predominant directions of traffic flow from each approach to the roundabout; manual counting of traffic for five working days was done between 7:00 am to 12 noon and 3:00 – 7:00 pm daily. The result of the survey shows that congestion occurs at the roundabout between 7:45 - 9:30 am and between 5:00 - 6:30 pm every day. Results also show that the peak hourly traffic flow rate occurs between 8:00 and 9:00 am, and 5:00 to 6:00 pm daily. The result of the traffic count was then forecasted for 2-years using data on annual vehicle registration in Minna for 2011 to 2015 obtained from the Niger State Board of Internal Revenue Service. The Webster method of signal timing was used to design traffic signals that will optimally allocate right of way time to conflicting traffic streams. A 5–phase signalization of 90 and 97 seconds cycle lengths were proposed for morning and evening peak periods, respectively.
Development of a Smartphone Application for Classifying Soils Based on AASHTO Classification System
(2nd International Civil Engineering Conference (ICEC 2020), 2020-10-15) Chukwuemeka, I. V.; YUSUF, Abdulazeez; Ezekiel, Z.
Engineering soils are classified using charts and tables so as to have first-hand knowledge of their engineering properties. Majority of the mobile application used to classify soils are based on the USCS, USDA and ASTM system. Thus, this research is focused on the development of a mobile application for classifying soils based on AASHTO classification system. The mobile application was written in Java programming language using the android studio environment. Two cases of Liquid Limit (LL), Plasticity Index (PL) and percentage of soil passing sieve number 200 used to validate the mobile application was 39.45%, 26.52. and 38 % as well as 19%, 19%, and 35% termed case I and II respectively. Results obtained using AASHTO classification charts were the same as that obtained using the mobile application developed. The mobile application classified case I as A-6 soil consisting of clayey particles with a poor rating while case II was classified as A-2-4 silty or clayey gravel having a good rating. The study concluded that the mobile application can be used to classify soils based on the AASHTO classification system to save time.
DEVELOPMENT OF AN ANDROID BASED MOBILE APPLICATION FOR THE DESIGN AND DETAILING OF ISOLATED PAD FOUNDATIONS ACCORDING TO EUROCODE 2
(i-manager’s Journal o Mobile Applications & Technologies, 2019-01-10) YUSUF, Abdulazeez; H. O. AMINULAI; A. ISIAKA; A. ABDULLAHI; M. ABUBAKAR; T. A. ALAYANDE
In a building construction project, it is the responsibility of the structural engineer to come up with a complete design of all structural elements. When this is done manually it is tasking, time consuming, and produces errors with inconsistent results. However, the design can be done using computer software, but this also comes with some downside; it is expensive and complex to use. Thus, this research developed an android based mobile application for the design of pad foundations to Eurocode 2 to put these challenges in check when designing pad footings. The mobile application designs isolated Axially loaded-only and Axially loaded with bending pad footing to Eurocode 2 accurately, with consistent results and in a timely manner. The application was tested using typical test parameters and results are compared to the manual computations. There was no significant difference in the steel sections provided for both methods. All checks that must be satisfactory in design were all checked and found to be satisfactory.
Development of an Android Based Mobile Application for Design and Detailing of Pad Foundations to BS8110
(Epistemics in Science, Engineering and Technology, 2017-12-10) YUSUF, Abdulazeez; H. O. Aminulai; A. Abdullahi; M. Abubakar; B. Alhaji
Many innovative computer software have been developed to perform the task of designing and detailing structural elements such as beams, columns, slabs and foundations. This design and detailing can be done using mobile devices but software developed to operate on such devices have not been fully developed. However, this research is aimed at developing an android based mobile application for the design of pad foundations to Bs8110. The mobile application developed designs isolated axially loaded-only; axially loaded with moment pad footings as well as combined pad footings. The mobile application developed was tested using three typical test parameters and results compared to the manual computations. There was no significant variation in the steel sections required and provided for the manual design and that generated by the mobile application. The steel required by manual design for the axially loaded pad footing was 835mm2/m and that generated by the application was 837.2mm2/m. That of the axially loaded with moment gave required steel section as 1019mm2/m using manual design. This android based mobile application would thus give the structural engineer the leverage to design pad footings anywhere and anytime
DEVELOPMENT OF MODELS FOR PREDICTING CALIFORNIA BEARING RATIO OF LATERITIC SOIL USING SELECTED SOFT COMPUTING TECHNIQUES
(3rd International Conference on Artificial intelligence and Robotics, 2023-05-10) F.E Eze; T.E Adejumo; A A. Amadi; YUSUF, Abdulazeez
Models for predicting the California bearing ratio values of lateritic soil was developed using soft computing techniques. Soft computing techniques are algorithm which find provably correct and optimal solutions to problem. The Soaked CBR values used in pavement design takes about 96 hours to complete the test process. This can be time-consuming and expensive, Hence the need for researches to seek for alternate means of obtaining it. Several researchers have employed the use of Artificial Neural network (ANN), Gene expression programming (GEP), Support Vector machine (SVM) and Deep neural network (DNN) to predict CBR values, these models have inherent limitations such as sensitivity to hyper-parameters, limited flexibility and lack of interpretability. This study proposes a new model to address this challenge, Artificial Neural Networks (ANN) and its hybrid (ANFIS) were considered. Soil samples were collected from a burrow pit and required tests were conducted on the collected soil samples, Tests carried out are index, compaction and California bearing ratio. The experimental result data was augmented from data gotten from previous research work (unpublished) in same study area. The result gotten was used for training the models. 70% of the data was used for training and the remaining for the validation of the models. Two different models were developed and the performance of each model was measured by the coefficient of determination (R2), Mean Square Error (MSE) and Root mean square Error (RMSE). Upon analyzing the result, the both models ANN and ANFIS demonstrated high accuracies but ANFIS model gave a higher predictive accuracy of 0.98 as R2, RMSE of 0.11 and MSE of 0.33. ANFIS Model demonstrated exceptional accuracy and precision in capturing complex relationships within the data and hence should be adopted in the prediction of CBR values of lateritic soil.
Effect of Partial Replacement of Cement with Cow Dung Ash Using Bida Natural Coarse Aggregate
(School of Environmental Technology, Federal University of Technology, Minna, 0022-10-05) Abbas, B. A.; YUSUF, Abdulazeez; Kolo, D. N; Aboje, A. A.; Mahmud, M.B.; Ndaiji, A. U.
The research investigates the effect of partial replacement of cement with cow dung ash (CDA) in concrete production using Bida natural coarse aggregate. Water to cement ratio and mix ratio of 0.6 and 1:2:4 was adopted respectively. The aggregates used were characterized and the cow dung was calcined at a temperature between 400-500oC. Concrete was produced using CDA as cement replacement at 0%, 5%, 10%, 15%, 20%, 25%, 30%, 35% and 40%. Slump of the freshly produced concrete was determined and the compressive strength of the hardened concrete was determined at 7, 21 and 28 days of curing. The sum of SiO2, Al2O3 and Fe2O3 in CDA exceeds the 70% minimum specified by ASTMC 618-12. The slump of the fresh concrete ranges from 0 – 40 mm while the compressive strength at 28 days curing duration ranges from 12.59N/mm2 19.29N/mm2 and density was 2323.95kg/m3– 2554.59kg/m3 respectively. The test results revealed that the compressive strength decrease with increase in CDA content and increase with curing age. The strength results indicate that there was no much significant difference between the control specimen with 0% CDA and that containing 5% CDA. This implies that concrete made using CDA as partial replacement for cement can be used for structural applications such as in the construction of reinforced concrete slabs, beams, columns and foundations. The study concluded that CDA has pozzolanic properties and can be used to replace up to 10% cement in concrete produced using Bida natural coarse aggregate.
EFFECT OF PARTIAL REPLACEMENT OF FINE AGGREGATE WITH SAWDUST IN LIGHT WEIGHT CONCRETE PRODUCTION USING BIDA NATURAL STONE AS COARSE AGGREGATE
(3rd International Engineering Conference (IEC 2019), 2019-09-22) Alhaji B; Abubakar M.; YUSUF, Abdulazeez; Oritola S. F; Mohammed S; Kolo D. N
This study investigated the effect of sawdust as partial replacement for Fine Aggregate in light weight concrete production. Sawdust was used to replace Fine Aggregate from 0% to 40% in steps of 5%. 150 x 150 x 150mm concrete cubes were cast for each replacement level, the concrete was cured and the compressive strengths were determined at 7, 21 and 28days curing period respectively. Increase in percentage of sawdust in concrete led to a constant reduction in the compressive strength values with a corresponding reduction in weight. From the result obtained, 5% replacement of Fine Aggregate with sawdust gave a maximum compressive strength 13.11 N/mm2. It was however concluded that the optimum replacement level of 5% can be used as plain concrete for blinding works.
Effect of Partial Replacement of Fine Aggregate with Crumb Rubber in Concrete Made with Bida Gravel
(4th International Engineering Conference (IEC 2022), 2023-10-22) Mohammed T. A.; Abbas B. A; YUSUF, Abdulazeez; Oritola S. F.
The availability of sand at cheap rates for use as fine aggregate in concrete production is ever becoming unfeasible and this, in addition to environmental sustainability, places a huge need to search for an alternative source of fine aggregate materials. Crumb rubber made from waste automobile tires, can be used to complement sand as fine aggregate in concrete production. This study seeks to investigate the effect of partially replacing fine aggregate with crumb rubber in concrete made with Bida natural stones. Crumb rubber gotten from waste automobile tires was used to replace fine aggregate in the concrete at 0%, 5%, 10%, 15%, 20%, and 25%. The particle size distribution, workability, and compressive strength of these concrete specimens were extensively studied. Curing was done for the period of 7, 14, and 21 days. A mix ratio of 1: 1.65: 2.42 was used for cement content, fine aggregates, and Bida natural stones, respectively, at a water-to-cement ratio of 0.45. Results from the workability test performed showed that a higher percentage replacement of crumb rubber gives a corresponding decrease in the workability of the concrete. In addition, the results obtained from each concrete mix for all cases of curing ages revealed that flexural and compressive strengths decrease with an increasing percentage replacement of crumb rubber in the concrete mix. The flexural strength of the concrete mix was observed to be 6.08N/mm2 at 5% crumb rubber replacement. While at 25% crumb rubber replacement, a flexural strength of 3.08N/mm2 was observed. Similarly, the compressive strength of the concrete mix at 5% crumb rubber replacement was noticed to be 20.88N/mm2 and 11.89N/mm2 at 25% crumb rubber replacement. This implies that concrete made using crumb rubber as a partial replacement for fine aggregate can be used for structural applications such as in the construction of reinforced concrete slabs, beams, columns, and foundations where high strength is not required.
Effectiveness of Locust Bean Epicarp Extract on Re-vibrated Concrete Using Pebbles from Bida Environs as Coarse Aggregate
(Springer Nature Switzerland AG, 2024-09-22) Abbas Bala Alhaji; Mohammed Tahir Abdul; YUSUF, Abdulazeez; Kolo Daniel Ndakuta; Abubakar Mahmud; Abdullahi Aliyu
Purpose: In this research, the effect of re-vibrated concrete using locust bean epicarp extract and Bida natural stone (Pebbles) as coarse aggregate was presented. Design/Methodology/Approach: The concrete mix of 1:2:4 and water cement ratio of 0.5 was adopted respectively. One hundred and sixty-eight (168) concrete cubes were produced in six (6) batches, 28 cubes were produced for control (mix A = 0% LBEE + 100% OPC) and 28 for (0, 5, 10, 15 and 20%) cement reduction respectively. Findings: The results of preliminary test of the aggregates indicate that they are suitable for concrete production and the chemical analysis of LBEE showed that it is a very good pozzolana. Concrete cubes were cast with re vibration time lag intervals of 10 min for the period of 60 min re-vibration process and cured for 7 and 28 days. The result shows that introduction of LBEE improve the compressive strength of concrete. The result obtained also shows that there is increase in compressive strength with the increase in re-vibration time lag of LBEE concrete, hence the maximum compressive strength was obtained at 60 min for all batches. The maximum compressive strength obtained at 28 days curing was 35.70 N/mm2 for B (0% cement reduction) at 60% re-vibration which is higher than 34.0 N/mm2 for control mix A. The optimum cement reduction of concrete made incor porating LBEE without re-vibration and the one with re-vibration is 5% and 20% respectively. Practical Implications: This types of concrete can be used for struc tural application such as in the construction of reinforced concrete slabs, beams, columns and foundations. Social Implications: In order to provide adequate housing for over increasing population of people in Bida and Environs the use of Locust Bean Epicarp Extract on Re-vibrated Concrete Using Pebbles from Bida as coarse aggre gate should be encouraged by individuals and government at all levels. This will also lead to reduction in construction cost of houses in Nigeria and create employment to the rural dwellers where locust bean trees are grown. Originality and Value:This study contributed to the pool of knowledge on how Locust Bean Epicarp Extract and concrete Re-vibration has improved the strength of concrete. Thus 20% and 5% is recommended as the optimum cement reduction of concrete made incorporating LBEE with re-vibration and the one without re-vibration respectively.
Flexural Strength of Revibrated Concrete Using Iron Ore Tailings (IOT) as Partial Replacement for River Sand
(Journal of Research Information in Civil Engineering,, 2020-10-10) YUSUF, Abdulazeez; A. I. Emmanuel
River sand is one of the major concrete constituents. Sand mining from rivers results in several environmental problems which leads to destruction of river banks among others. The use of IOT as a substitute for river sand is capable of addressing this problem. The effect of partial replacement of river sand with IOT on the flexural strength of revibrated concrete was studied in this paper. Sieve analysis, bulk density specific gravity and water absorption tests were conducted on the IOT, river sand and crushed granite to ascertain their suitability for use in concrete. A mix ratio of 1:2.1:2.7 and water-cement ratio of 0.5 was used to prepare concrete mixes with 0%, 10%, 20%, 30%, 40%, 50%, and 100% IOT as sand replacement. A total of 63 prisms of size 100 x 100 x 500 mm were cast and revibrated 30s for 3 minutes within 1 hour to provide samples to be tested for flexural strength at 7, 14 and 28 days curing age. Results revealed that the workability of concrete decreased with increase in percentage of IOT. Highest flexural strength was noted with concrete containing 100% IOT at all curing ages. Flexural strength model was proposed as a function of % IOT at 28 days curing age. It was recommended that IOT can be used as either partial or total replacement for river sand in concrete.
Hygrothermal Effects of Partial Replacement of Coarse Aggregates with Palm Kernel Shell in Concrete Production
(Nigeria Journal of Engineering and Applied Sciences, 2017-08-12) Abdullahi A.; Abubakar M.; Aminulai H. O; YUSUF, Abdulazeez; Alhaji B.
Hygrothermal effects of partial replacement of coarse aggregates with Palm Kernel Shell (PKS) in concrete production were assessed. Preliminary tests were conducted on PKS to determine its suitability for use as aggregate in concrete production. Workability and Density of the fresh concrete were also determined. Cylinders of 100mm diameter by 50mm height were used to cast the concrete; these were cured for 28 days and tested for water absorption and sorptivity at different replacement levels of coarse aggregates with PKS. The sorptivity of concrete was found to increase with increase in PKS content, however, between 5-25% PKS content, lower sorptivity values than control were recorded. Water absorption of concrete also increased with increase in PKS content, PKS contents from 5-20% gave water absorptions below the control and at 25% replacement, a slightly higher value as compared to the control was recorded. From the results obtained, concrete with 5% PKS content was found to possess the best water absorption as well as sorptivity values. Such concrete adequately fits for use in areas where concrete water absorption and sorptivity are required to be kept at a very minimal level; such as in the construction of drainages and dams.
Mechanical Properties of Concrete using Bida Natural Aggregate as Coarse Aggregates
(Journal of Research Information in Civil Engineering, 2020-10-10) YUSUF, Abdulazeez; M. Abdullahi; S. Sadiku; J. I. Aguwa
Significant volume of concrete is occupied by aggregates. Most of these are obtained from rock fragment which depletes natural resources and thereby distorting the ecosystem. The use of alternative aggregate has the potential of reducing this menace. This paper investigates the slump and strength properties of concrete made by varying Bida Natural Aggregate to total aggregate ratio (BNA/TA). Nine different mixes were prepared for three Water to Cement (W/C) ratios and three BNA/TA ratios while Total Aggregate to Cement ratio (TA/C) was kept constant. Properties of the aggregates were determined and found to be satisfactory for concrete production. Three 150x150x150 mm concrete cubes, three 100x100x500 mm concrete prisms and three 100x200 mm concrete cylinders were produced for W/C of 0.4, 0.5 and 0.6 and BNA/TA of 0.55, 0.6 and 0.65. The compressive strength, flexural strength and splitting tensile strength of the specimens were determined at 28 days curing duration. Test results indicates that the higher the BNA /TA content, the lower the slump of concrete. A combination of BNA/TA of 0.55, W/C of 0.4 and TA/C ratio of 3 gave maximum compressive, flexural and splitting tensile strength of 44.30 N/mm2, 7.60 N/mm2 and 3.42 N/mm2 respectively. It was concluded that BNA can be used in place of crushed granite in concrete production.
MODAL ANALYSIS OF BARIKIN SALEH BRIDGE DECK USING FINITE ELEMENT SOFTWARE SIMULATION METHOD
(3RD INTERNATIONAL CIVIL ENGINEERING CONFERENCE (ICEC, 2024), 2025-02-28) O.O. Rasaq; YUSUF, Abdulazeez; D.N. Kolo; H.S. Abdulrahman
The increase in traffic along Barikin Saleh area of Minna Niger State calls for the analysis of the bridge deck due to the increasing and fluctuating traffic volume. In this paper, the modal analysis of the Barikin Saleh bridge deck based on finite element software simulation method was studied. The simulation was carried out to determine natural frequencies and the corresponding mode shapes of the bridge deck using ANSYS workbench software. The parameters of the bridge used in the simulation were Length,16m; Width, 10.75m; Second moment of inertia I, 4.16m4; Area A, .56m2; Young’s modulus E, 35300MPa; Density p, 2600 kg/m3, and Concrete Grade G, 50MPa. Based on the simulation output, the bridge exhibited six (6) clear mode shapes and corresponding natural frequencies of 20.299Hz,20.436Hz, 22.875Hz, 25.087Hz, 30.003Hz, and 35.205Hz. The highest natural frequency for the bridge was 35.205Hz, at the bridge deck mid-span. The implication of this is that the lifespan of the bridge might be reduced due to fatigue damage that can occur as a result of repeated loading and unloading of the bridge deck at this frequency. The findings from this study provide valuable insights into the dynamic behavior of Barikin Saleh bridge deck, which can be useful for its maintenance, repair and retrofitting.
Modelling Slump of Concrete Containing Natural Coarse Aggregate from Bida Environs Using Artificial Neural Network
(Journal of Soft Computing in Civil Engineering, 2021-05-02) YUSUF, Abdulazeez; M. Abdullahi; S. Sadiku; J.I. Aguwa; B. Alhaji; T.A. Folorunso
Consumption of crushed granite as coarse aggregate in concrete has led to devastating environmental and ecological consequences. In order to preserve local and urban ecology therefore, substitute aggregate such as naturally occurring stone with the propensity of reducing this problem was studied. Furthermore, artificial Neural Network (ANN) models have become the preferred modeling approach due to their accuracy. Thus, in this paper, MATLAB software was used to develop ANN models for predicting slump of concrete made using Bida Natural Gravel (BNG). Four model architectures (5:5:1; 5:10:1; 5:15:1 and 5:20:1) were tried using a back-propagation algorithm with a tansig activation function. The performance of the developed models was examined using Mean Square Error (MSE), Correlation Coefficient (R) and Nash-Sutcliffe Efficiency (NSE). Results showed that 5:20:1 model architecture with MSE of 8.33e-27, R value of 98% and NSE of 0.96 was the best model. The chosen 5:20:1 ANN model also out performed Multiple Linear Regression (MLR) model which recorded MSE of 0.83, R value of 88.68% and NSE of 0.87. The study concluded that the higher the neuron in hidden layer of ANN slump model for concrete containing BNG, the better the model.
OPTIMIZATION OF COMPRESSIVE STRENGTH OF PERIWINKLE SHELL CONCRETE USING SCHEFFE’S MODEL
(3RD INTERNATIONAL CIVIL ENGINEERING CONFERENCE, 2025-02-28) Ibrahim A; Abbas., B.A; YUSUF, Abdulazeez
This study investigates the application of scheffe’s model in compressive strength optimization of periwinkle shell-coarse aggregate (PSCA) concrete. Physical properties of the aggregates such as specific gravity, bulk density, sieve analysis and workability of concrete were determined. Specific gravities of fine and coarse aggregates were 2.62 and 2.68 respectively, Moisture content for aggregate for fine and coarse aggregate were 7.08 and 3.03 respectively. The bulk densities were 1612.82kg/m3 and 1394.64kg/m3 respectively. From the sieve analysis test, the sand belonged to zone 2 and well graded with coefficient of gradation of 1.04. Ninety 150mm x150mm x 150mm cube specimens were produced for the compressive strength test. Model was fitted to data obtained on the compressive strength and mathematical model was developed based on Scheffe’s model. The formulated model was tested for adequacy at 95% level of confidence using t-statistic. The compressive strength of concrete was observed to decrease with increase in the percentage replacement of periwinkle shells (PS). The reduced value of the compressive strength may be due to lower specific gravity, water absorption capacity value of periwinkle shell compared to that of crushed granite. The blending of the two materials caused a reduction in strength value of the end product since specific gravity is strength related. The reduced compressive strength value may also be due to the fact that periwinkle shell has fewer binding properties compared to crushed granite. After 28 days of water curing, the concrete gave an average optimum compressive strength value of 25.78N/mm2 corresponding to a mix proportion of 1, 0.1, 1, 1.9 (cement, periwinkle shell, sand, granite) at a water-cement ratio of 0.4. This compressive strength value obtained at 5% replacement is within the recommended value required for plain concrete works, lean concrete, simple foundations, masonry walls and other simple construction works in low- cost housing constructions