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철근비에 대한 의사결정트리와 골조공사 비용견적 개선 방안

Decision Tree for Rebar Ratio and Improvement of Cost Estimating Methods in Reinforced Concrete Structures

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리모델링 연구소 (A Journal of the Seismic Retrofitting & Remodeling Research Center)
단국대학교 리모델링연구소 (Seismic Retrofitting & Remodeling Research Center)
초록

Cost estimating is essential in decision-making for conducting project management on early design stage. The cost estimating method for each stage varies according to level of design detail. Therefore, in the cost estimating method for each stage, it must distinguish quantity items that can be directly measured from quantity items that should be predicted. The parametric estimating method is able to support cost planning for various design attributes as it is possible to set impact factors related to design features as parameters. This study suggests a prediction method for quantity information that is required to estimate the final cost during the early design stage. The case study suggests an predicting method for the steel (rebar) ratio of office buildings. The suggested parametric cost estimating model enables users to predict the steel (rebar) quantity for various design alternatives according to design features. During quantity predictions, IG(Information gain) measurements for the design attributes were analyzed, by setting the ratio of steel-rebar quantity(Ratio: ton/Concrete_㎥) as the dependent variable.

저자
  • 전재열(단국대학교 건축대학 건축공학과 정교수, 공학박사) | Chun, Jae-Youl Corresponding Author