Kamara, Abdul Ibrahim

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