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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Manual quantity takeoff using two-dimensional (2D) drawings and personal knowledge is error-prone and time-consuming. Theoretically, quantity can be automatically calculated from building information model more quickly and reliably by extracting geometric data and semantic attributes of building elements. Specific construction classification systems embedded in mainstream modeling software for building information modeling (BIM) make it difficult for countries adopting different systems to calculate quantity directly. This paper proposes a BIM-based quantity takeoff code mapping (BQTCM) method to solve the above issue, and develops a quantity takeoff code mapping plug-in (QTCMP) on a BIM modeling software based on the proposed BQTCM method to obtain an accurate bill of quantities directly and efficiently. Moreover, by conducting a statistical analysis and examining a case study, this paper verifies the accuracy and efficiency of quantity takeoff attained from the proposed BQTCM method and QTCMP.

Details

Title
Design and Implementation of Quantity Calculation Method Based on BIM Data
Author
Chen, Binjin 1 ; Jiang, Shaohua 2   VIAFID ORCID Logo  ; Qi, Ligang 1 ; Su, Yawu 1 ; Mao, Yufeng 2 ; Wang, Meng 2 ; Hee Sung Cha 3 

 China Construction Eighth Engineering Division Corp, Shanghai 200122, China; [email protected] (B.C.); [email protected] (L.Q.); [email protected] (Y.S.) 
 Department of Construction Management, Dalian University of Technology, Dalian 116024, China; [email protected] (Y.M.); [email protected] (M.W.) 
 Department of Architectural Engineering, Ajou University, Suwon 06499, Korea; [email protected] 
First page
7797
Publication year
2022
Publication date
2022
Publisher
MDPI AG
e-ISSN
20711050
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2686187648
Copyright
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.