iosr-JMCE   Volume-22 ~ Issue-3 ~ May – Jun. 2025

Abstract: Efficient urban transportation in developing countries like Nigeria relies heavily on the quality of road infrastructure. However, poor maintenance and deteriorating road conditions continue to shape how people travel in many Nigerian cities. This study explores how these road issues influence commuter behavior, including choices about travel routes, transportation modes, and overall travel time........

Key Word: road condition, commuter behavior

[1]. Adebayo, T., & Ogunleye, R. (2020). Pavement Deterioration Analysis Of Lagos-Ibadan Expressway. Journal Of Civil Engineering, 15(3), 45-59.
[2]. Adetunji, M., & Aloba, O. (2021). Road Infrastructure And Economic Productivity In Nigeria. African Transport Studies, 8(2), 112-128.
[3]. Afolabi, O., & Bello, K. (2025). Bridging Data Gaps In Nigerian Transport Research: The Case For Primary Surveys. Transport Reviews, 45(1), 89-104.
[4]. Ajzen, I. (2021). The Theory Of Planned Behavior: A Revisited Perspective. Behavioral Science Journal, 39(4), 301-317.
[5]. Akinyemi, F. (2025). Economic Costs Of Road Infrastructure Decay In Nigeria: A 2030 Projection. Journal Of Transport Economics, 50(2), 200-215..

Abstract: The demand for sustainable construction materials has driven the search for alternatives to conventional Portland cement, which is energy-intensive and environmentally taxing. This study explores the usage of agro-Industrial wastes fly ash, wheat husk ash, and chana husk ash as partial replacements for cement in concrete. Five mix designs were prepared: Mix 1 (control mix) with 100% cement; Mix 2 with 30% fly ash, 10% chana husk ash, 20% wheat husk ash, and 40% cement.......

Key Word: Cement, Fly ash, Wheat Husk ash, Chana Husk ash, M20

[1] P. K. Mehta And P. J. M. Monteiro, Concrete: Microstructure, Properties, And Materials, 4th Ed. New York, Ny, Usa: Mcgraw-Hill Education, 2014.
[2] R. Siddique, "Performance Characteristics Of High-Volume Class F Fly Ash Concrete," Cement And Concrete Research, Vol. 34, No. 3, Pp. 487–493, Mar. 2004.
[3] R. Siddique, "Performance Characteristics Of High-Volume Class F Fly Ash Concrete," Cement And Concrete Research, Vol. 34, No. 3, Pp. 487–493, Mar. 2004.
[4] P. K. Mehta And P. J. M. Monteiro, Concrete: Microstructure, Properties, And Materials, 4th Ed. Mcgraw-Hill Education, 2014.
[5] P. Chindaprasirt, S. Homwuttiwong, And C. Jaturapitakkul, "Strength And Water Permeability Of Concrete Containing Palm Oil Fuel Ash And Rice Husk–Bark Ash," Construction And Building Materials, Vol. 21, No. 7, Pp. 1492–1499, Jul. 2007..

Abstract: Cameroon faces a growing waste pollution crisis, with plastic waste posing a major challenge due to its non-biodegradability. Additionally, premature pavement failures remain a persistent issue despite the enforcement of quality-controlled construction practices. To address both challenges, this study investigates the modification of pure bitumen using polyethylene terephthalate (PET) waste and evaluates its impact on asphalt concrete properties. Supermont PET waste bottles were used as the plastic source, while bitumen was supplied by ERES Cameroon. The bitumen......

Key Word: Bitumen, Polyethylene Terephthalate (PET), Asphalt Modification, Pavement Durability, Plastic Waste Recycling.

[1] Adama, D., Papa, S. F., Mohamadou, M. T., Birame, D., Cheikh, D., Achim, B., . . . Marème, B. (2023). Evaluation Of The Influence Of Plastic Waste In Improving The Mechanical Characteristics Of Asphalt Mixes (Senegal, West Africa). Open Journal Of Civil Engineering, 517-527. Doi: 10.4236/Ojce.2023.133037.
[2] Ahmadinia, E., Zargar, M., Karim, M. R., Abdelaziz, M., & Shafigh, P. (2011). Using Waste Plastic Bottles As Additive For Stone Mastic Asphalt. Materials And Design, 4844–4849. Http://Dx.Doi.Org/10.1016/J.Matdes.2011.06.016
[3] Cladman, W., Scheffer, S., Goodrich, N., & Griffiths, M. (1998). Shelf-Life Of Milkpackaged In Plastic Containers With And Without Treatment To Reduce Light Transmission. International Dairy Journal, 8, 629–636. Http://Dx.Doi.Org/10.1016/S0958-6946(98)00094-6
[4] Fokwa, D., Tchemou, G., Ngouffo, K. R., Mbe, J., Tetuh, R., Fomethe, A., & Talla, P. K. (2019, August). The Study Of The Mechanical Behavior Of Bitumen Modify With A Polymer. International Journal Of Engineering Research & Technology (IJERT), 8(8), 730-736.
[5] Landfillsolutions. (2023, May 2). Landfillsolutions. Retrieved From Landfillsolutions: Https://Landfillsolutions.Eu/Cameroon-Struggles-Against-Plastic-Pollution.

Abstract: Monthly flow data for the Noa-Dehing River, covering a period of 19 years, are available; however, they are inadequate for optimising the proposed 71 MW hydropower project. To address this limitation, additional flow data were generated using an Artificial Neural Network (ANN) and deep learning model. Various algorithms have been employed to develop ANN models. Among these, the Conjugate Gradient (CG) algorithm yields the most favourable......

Key Word: Artificial Neural Network, Deep Learning, LSTM, River Flow Prediction, Hydropower Project, Streamflow Prediction

[1] D. Mantzaris, S. Trougkakos, K. Vadikolias, E. Priska, And M. Vrizas, "Artificial Neural Networks For Estimation Of Dementias Types," Artificial Intelligence And Applications, Vol. 2014, No. 1, Pp. 74–82, May 2014, Doi: 10.15764/Aia.2014.01006.
[2] R. Qamar And B. Ali Zardari, "Artificial Neural Networks: An Overview," Mesopotamian Journal Of Computer Science, Pp. 130–139, Aug. 2023, Doi: 10.58496/Mjcsc/2023/015.
[3] M. M Mijwil, "Artificial Neural Networks Advantages And Disadvantages," Mesopotamian Journal Of Big Data, Vol. 2021, Pp. 29–31, Aug. 2021, Doi: 10.58496/Mjbd/2021/006.
[4] T. Syed, H. Kim, V. Kakani, And X. Cui, "Spiking Neural Networks Using Backpropagation," Aug. 2021.
Doi: 10.1109/Tensymp52854.2021.9550994.
[5] M. Dampfhoffer, T. Mesquida, A. Valentian, And L. Anghel, "Backpropagation-Based Learning Techniques For Deep Spiking Neural Networks: A Survey.," Ieee Transactions On Neural Networks And Learning Systems, Vol. 35, No. 9, Pp. 11906–11921, Sep. 2024, Doi: 10.1109/Tnnls.2023.3263008.

Abstract: It is well known that a significant portion of architectural heritage worldwide comprises reinforced concrete residential buildings constructed before the 1980s. These structures were often built without adherence to specific seismic design standards and, in many cases, now exhibit poor structural conditions. A major contributing factor to the degradation of these buildings is corrosion, which adversely affects the mechanical properties of the steel reinforcement and consequently reduces the structural capacity of the buildings. This study aims to evaluate......

Key Word: Corrosion, RC building; Plastic hinge; Nonlinear analysis; Pushover analysis

[1] L. D. I. Sarno And F. Pugliese, "Critical Review Of Models For The Assessment Of The Degradation Of Reinforced Concrete Structures Exposed To Corrosion," Seced 2019 Conf. Earthq. Risk Eng. Towar. A Resilient World, No. September, Pp. 0–16, 2019.
[2] M. Algamati, A. Al-Sakkaf, E. Mohammed Abdelkader, And A. Bagchi, "Studying And Analyzing The Seismic Performance Of Concrete Moment-Resisting Frame Buildings," Civileng, Vol. 4, No. 1, Pp. 34–54, 2023, Doi: 10.3390/Civileng4010003.
[3] L. Di Sarno And F. Pugliese, Numerical Evaluation Of The Seismic Performance Of Existing Reinforced Concrete Buildings With Corroded Smooth Rebars, Vol. 18, No. 9. Springer Netherlands, 2020.
[4] L. Bertolini, M. Carsana, M. Gastaldi, F. Lollini, And E. Redaelli, "Corrosion Of Steel In Concrete And Its Prevention In Aggressive Chloride-Bearing Environments," Int. Conf. Durab. Concr. Struct. Icdcs 2016, Pp. 13–25, 2016,
Doi: 10.5703/1288284316106.
[5] H. Yalciner, S. Sensoy, And O. Eren, "Seismic Performance Assessment Of A Corroded 50-Year-Old Reinforced Concrete Building," J. Struct. Eng., Vol. 141, No. 12, Pp. 1–11, 2015, Doi: 10.1061/(Asce)St.1943-541x.0001263..

Abstract: This study critically explores the role of artificial intelligence (AI) in optimising construction project timelines, with a specific focus on AI-driven scheduling tools. As traditional scheduling methods such as Critical Path Method (CPM) and Primavera face limitations in handling complexity and uncertainty, AI technologies offer predictive, adaptive, and real-time decision-making capabilities. A narrative review approach was employed, drawing from databases including.....

Key Word: Artificial Intelligence, Construction Scheduling, ALICE Technologies, nPlan, BIM Integration, Project Management

[1] Datta, S. D., Sobuz, M. H. R., Nafe Assafi, M., Sutan, N. M., Islam, M. N., Mannan, M. B., ... & Hasan, N. M. S. (2023). Critical Project Management Success Factors Analysis For The Construction Industry Of Bangladesh. International Journal Of Building Pathology And Adaptation.
[2] Love, P. E. D., Edwards, D. J., And Smith, J. (2016). Rework Causation: Emergent Theoretical Insights And Implications For Practice. Building Research And Information, 44(5-6), 568–584. Https://Doi.Org/10.1080/09613218.2016.1120205
[3] Assaf, S. A., And Al-Hejji, S. (2006). Causes Of Delay In Large Construction Projects. International Journal Of Project Management, 24(4), 349–357. Https://Doi.Org/10.1016/J.Ijproman.2005.11.010
[4] Sambasivan, M., And Soon, Y. W. (2007). Causes And Effects Of Delays In Malaysian Construction Industry. International Journal Of Project Management, 25(5), 517–526. Https://Doi.Org/10.1016/J.Ijproman.2006.11.007
[5] Hegazy, T., And Ayed, A. (1998). Neural Network Model For Parametric Cost Estimation Of Highway Projects. Journal Of Construction Engineering And Management, 124(3), 210–218. Https://Doi.Org/10.1061/(ASCE)0733-9364(1998)124:3(210).