OPTIMIZATION OF REINFORCEMENT STEEL IN BUILDING CONSTRUCTION PROJECT /
ABDUL IBRAHIM KAMARA; SUPERVISOR: PROF. DR. TAHIR ÇELİK
- x, 142 sheets; 31 cm. Includes CD
Thesis (MSc) - Cyprus International University. Institute of Graduate Studies and Research Civil Engineering Department
Includes bibliography (sheets 114-128)
ABSTRACT A common issue in concrete construction is a large fraction of reinforcing steel caused by cutting. This study demonstrates a method for reducing waste from cutting. Waste optimization models are critical for reducing trim loss in the steel reinforcement cutting process. Unfortunately, waste minimization is frequently regarded as a purely mathematical problem to be solved outside of the context of project management. Many construction projects necessitate the use of a significant amount of reinforcing steel bars (rebar). They require the provision of this steel in various specified sizes and lengths based on the construction design. The cutting processes result in significant trim loss, which is considered waste and is one of the losses that raise the project's cost. As a result, "cutting is one of the most difficult problems in optimization research." The goal is to find the best cutting pattern for items of various lengths from a stock of standard-size material to meet the construction needs while minimizing wastage due to cutting. To address steel waste on the construction site, a mathematical model and procedure were used in this study to arrange cut plans with the least amount of loss. To generate the optimal stock usage plan and cutting plan for each alternative layout arrangement for a specific structural component, Microsoft Excel and the Cutting optimization pro programming technique are used. The programmer and approach were evaluated using data from a store's design buildings that were to be built. The results clearly show that the proposed methodology and the developed programmer are capable of producing solutions in terms of reducing waste and lowering total cost, as a result of identifying the optimal cutting layout. The study's findings have a significant impact on the amount of steel wasted and, as a result, the cost of the projects. Keywords: Applications, Bill of Quantity, Calculation, Case Study, Construction Project, Cost, Cutting, Cutting Optimization Pro, Data Collection, Microsoft Excel, Minimizing, Optimization, Rebar, Reinforcement Steel, Waste.
Building, Iron and steel--Dissertations, Academic Construction--Dissertations, Academic