Improving the accuracy of BIM-based quantity takeoff for compound elements

Abstract Quantity takeoff based on Building Information Modeling (BIM) is a faster and more reliable method than the traditional 2D-based quantity takeoff approach. However, the quality of BIM models affects the accuracy of the extracted quantities. Incomplete details and inappropriate modeling methods cause deviations in extracted quantities. Compound elements, such as walls and floors, always face this issue because they contain multiple material layers, which can have different sizes. In order to obtain accurate quantity takeoffs of these layers, each compound element layer that is composed of a core layer and other layers must be created according to the actual construction. Nevertheless, this is a time-consuming and error-prone solution. Furthermore, it can be difficult to edit a model in the future if its design is not finalized. This study proposes a method to improve the accuracy of the extracted quantities of compound elements from BIM models that are incomplete or incorrect by using information from BIM-based clash detection to eliminate excess quantities and add missing quantities. The proposed method is called the “BIM-based compound element quantity takeoff improvement” (BCEQTI) method. The BCEQTI method is then validated through four case studies. With this method, accurate material quantities can be delivered, and the time used to edit the BIM models is saved. Furthermore, it can be applied to other building elements that have similar issues.

[1]  Charles M. Eastman,et al.  BIM Handbook , 2018 .

[2]  Bernard Kamsu-Foguem,et al.  BIM – New rules of measurement ontology for construction cost estimation , 2017 .

[3]  Wei Zhenhua,et al.  Intelligent Generation of Bill of Quantity from IFC Data Subject to Chinese Standard , 2011 .

[4]  Krzysztof Zima,et al.  Impact of information included in the BIM on preparation of Bill of Quantities , 2017 .

[5]  Pete Smith,et al.  BIM & the 5D Project Cost Manager , 2014 .

[6]  David Arditi,et al.  Quantity Take-Off in Model-Based Systems , 2010 .

[7]  David A. Duce,et al.  Early stage multi-level cost estimation for schematic BIM models , 2012 .

[8]  Sheryl Staub-French,et al.  Creating flexible mappings between building information models and cost information , 2014 .

[9]  Donghoon Lee,et al.  Automatic Rebar Estimation Algorithms for Integrated Project Delivery , 2016 .

[10]  Anoop Sattineni,et al.  Estimating with BIM: A Survey of US Construction Companies , 2011 .

[11]  Jung-Ho Yu,et al.  BIM and ontology-based approach for building cost estimation , 2014 .

[12]  Umit Isikdag,et al.  Handbook of Research on Building Information Modeling and Construction Informatics: Concepts and Technologies , 2009 .

[13]  Zhiliang Ma,et al.  Semi-automatic and specification-compliant cost estimation for tendering of building projects based on IFC data of design model , 2013 .

[14]  Jaeyoul Chun,et al.  Cost Estimating Methods for RC Structures by Quantity Takeoff and Quantity Prediction in the Design Development Stage , 2015 .

[15]  Hussein Abaza,et al.  Using Building Information Modeling (BIM) for Estimating and Scheduling, Adoption Barriers , 2015 .

[16]  Andrew D. Packer Building Measurement: New Rules of Measurement , 2016 .

[17]  João Pedro Poças Martins,et al.  BIM modeling for contractors - Improving model takeoffs , 2012 .

[18]  J. Mark Taylor,et al.  Quantity Take-Off Using Building Information Modeling (BIM), and Its Limiting Factors , 2017 .

[19]  Charles M. Eastman,et al.  A Knowledge-Based Framework for Quantity Takeoff and Cost Estimation in the AEC Industry Using BIM , 2014 .

[20]  Song Wu,et al.  Application and extension of the IFC standard in construction cost estimating for tendering in China , 2011 .

[21]  João Pedro Poças Martins,et al.  A survey on modeling guidelines for quantity takeoff-oriented BIM-based design , 2013 .

[22]  Sangyoon Chin,et al.  Automated Building Information Modeling System for Building Interior to Improve Productivity of BIM-based Quantity Take-Off , 2009 .

[23]  Nobuyoshi Yabuki,et al.  The Accuracy Enhancement of Architectural Walls Quantity Takeoff for Schematic BIM Models , 2018 .

[24]  Mohamed Al-Hussein,et al.  BIM-Based Integrated Framework for Detailed Cost Estimation and Schedule Planning of Construction Projects , 2014 .

[25]  Mohamed Al-Hussein,et al.  Ontology-based semantic approach for construction-oriented quantity take-off from BIM models in the light-frame building industry , 2016, Adv. Eng. Informatics.

[26]  Mansour Nasser Jadid,et al.  Cost estimation of structural skeleton using an interactive automation algorithm: A conceptual approach , 2007 .

[27]  AbdulLateef Olanrewaju,et al.  Duties and responsibilities of quantity surveyors in the procurement of building services engineering , 2015 .

[28]  Milad Rajabi,et al.  Optimization of the Quantity Take-off (QTO) Process for Mechanical, Electrical and Plumbing (MEP) Trades in Tender Estimation Phase of the Construction Projects , 2015 .

[29]  John E. Schaufelberger,et al.  Construction Cost Estimating: Process and Practices , 2004 .

[30]  Inhan Kim,et al.  Open BIM-based quantity take-off system for schematic estimation of building frame in early design stage , 2015, J. Comput. Des. Eng..

[31]  Mohamed Al-Hussein,et al.  BIM-based integrated approach for detailed construction scheduling under resource constraints , 2015 .

[32]  Jia-Rui Lin,et al.  BIM ORIENTED INTELLIGENT DATA MINING AND REPRESENTATION , 2013 .