Simplified Quantification Method on Rebar Work
Seok Heon Yun

Seok Heon Yun, Department of Architectural Engineering, ERI, GyeongSang National University, JinJu, Korea.
Manuscript received on 19 September 2019 | Revised Manuscript received on 06 October 2019 | Manuscript Published on 11 October 2019 | PP: 511-515 | Volume-8 Issue-2S10 September 2019 | Retrieval Number: B10890982S1019/2019©BEIESP | DOI: 10.35940/ijrte.B1089.0982S1019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: It is important to calculate quantity in a very detailed manner, but it is also important to calculate it as efficiently as possible within the margin of error as possible. Currently, the quantity takeoff is carried out in a very complex process and needs to be improved in efficiency. In this study, we investigated the research cases of quantity takeoff process, and analyzed current approximate cost estimate status and problems. In order to draw up an efficient QTO method of rebar work, overseas cases are surveyed. The error level in simplified rebar QTO method on the domestic cases are analyzed and applicability of the simplified QTO method for rebar work is reviewed. The purpose of this study was to analyze the error level of QTO of rebar works by using the simplified calculation method, and to analyze the applicability of rebar construction in Korea. According to an analysis of existing case sites, the average quantity of rebar compared to the volume of concrete was 12.23% and the standard deviation was 1.32.nd the standard deviation. The actual deviation of these mean values is analyzed to be within 1.5%. The results showed that the error occurred within 3 to 6% of the surcharge rate applied when calculating quantity of rebar, and that there was little difference between the detailed and simplified results.
Keywords: Rebar, Simplified Quantity Takeoff, Construction Cost, Cost Estimation.
Scope of the Article: Smart Learning Methods and Environments