Akademik Veri Yönetim Sistemi
Journal of Engineering Research (Kuwait), cilt.11, sa.2, ss.213-225, 2023 (SCI-Expanded, Scopus)
It has been built for centuries as housing and animal shelters, especially in rural areas, due to the advantages of masonry buildings being economical, being built with local materials, and not requiring skilled labor. The walls, which are the bearing elements of masonry structures, are formed by placing stones, bricks, or blocks on top of each other with a binding mortar. In this study, a model with the XGBoost algorithm, which is a tree-based classification algorithm, is proposed to scale the cost of the samples reinforced with welded wire reinforcement/polypropylene fiber added dry mix shotcrete. The model executes cost classification based on concrete, steel mesh, steel, epoxy, fiber, and workmanship-independent parameters. A softmax function was incorporated into the model for classification. A complexity matrix was produced to evaluate the classification performance of the model. Also, it was compared to other machine learning algorithms. The model yielded higher accuracy and lower false-positive rates. As a result, the proposed model can make better estimates in cost classification compared to other machine learning methods. In conclusion, using the classification ability of the model, it is aimed to measure the cost effective in the construction process that calls for a high labor force, time, and cost.