3D model-based quantity take-off for construction estimates

Pengxiang Alex Han, Ming Fung Siu, Simaan Abourizk, Di Hu, Ulrich Hermann

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Reliable estimation of construction project costs requires generation of accurate quantity take-offs. Quantity take-offs are, traditionally, experience-based exercises that are often tedious and time-consuming. Although the BIM platform has been used to improve accuracy and efficiency of quantity take-offs, its widespread use is limited by the intellectual property issues associated with the transfer of complete BIM models or standardized IFC files from owners to contractors. Instead, owners may provide 3D model review files, such as Navisworks, that are capable of integrating 3D models created by various modeling platforms, to contractors. However, this platform does not explicitly provide essential 3D model data, such as component type, shape information, and geometric dimensions, that are essential for generating quantity take-offs. This significantly limits the use of the Navisworks platform, requiring estimators to manually create necessary data for millions of model items. Here, a novel computational approach that addresses these limitations, allowing quantity take-offs to be generated quickly, accurately, and cost-effectively, is proposed. The proposed method was cross-validated by comparing the obtained results to manual measurements. A practical case study based on an industrial construction project in Alberta, Canada, was conducted to test the functionality of the proposed method.
Original languageEnglish
Title of host publicationComputing in Civil Engineering 2017
Subtitle of host publicationSmart Safety, Sustainability and Resilience - Selected Papers from the ASCE International Workshop on Computing in Civil Engineering 2017
PublisherAmerican Society of Civil Engineers (ASCE)
Pages118-124
Number of pages7
ISBN (Electronic)9780784480823, 9780784480847
Publication statusPublished - 1 Jan 2017
Externally publishedYes
Event2017 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2017 - Seattle, United States
Duration: 25 Jun 201727 Jun 2017

Conference

Conference2017 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2017
CountryUnited States
CitySeattle
Period25/06/1727/06/17

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computer Science Applications

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