A digital construction framework integrating building information modeling and reverse engineering technologies for renovation projects

Abstract This study proposes a digital construction framework that integrates building information modeling (BIM) and reverse engineering (RE) to improve information utilization in different phases and thus reduce mistakes and reworks in renovation projects during urban renewal. Three-dimensional (3D) laser scanning is used to enable the RE process. This framework also incorporates supporting technologies (virtual reality, 3D printing, and prefabrication) for a better understanding of design and construction as well as tools (work breakdown structure and model breakdown structure) for enhanced organization and management quality. Implementing this proposed framework in a renovated shopping center in Hainan, China optimized efficiency of the renovation process by 15%, eliminated design changes by 30% and reworks by 25%, and finally saved two months and 7.41% of cost regarding the steel structure canopy. Thus, this framework can proactively reduce occurrences of mistakes and reworks during the renovation process, greatly improving the effectiveness of urban renewal.

[1]  Jinwon Choi,et al.  A BIM-Based Design Method for Energy-Efficient Building , 2009, 2009 Fifth International Joint Conference on INC, IMS and IDC.

[2]  Ricardo Jardim-Goncalves,et al.  Value proposition on interoperability of BIM and collaborative working environments , 2010 .

[3]  Sugiharto Alwi,et al.  NON VALUE-ADDING ACTIVITIES: A COMPARATIVE STUDY OF INDONESIAN AND AUSTRALIAN CONSTRUCTION PROJECTS , 2002 .

[4]  Philip C Koenig,et al.  Development and Implementation of Modern Work Breakdown Structures in Naval Construction: A Case Study , 1999 .

[5]  Peter E.D. Love,et al.  A rework probability model: a quantitative assessment of rework occurrence in construction projects , 2015 .

[6]  Qian Wang,et al.  Automated quality assessment of precast concrete elements with geometry irregularities using terrestrial laser scanning , 2016 .

[7]  Mikael Johansson,et al.  From BIM to VR - The design and development of BIMXplorer , 2016 .

[8]  Brian Okorn,et al.  Using laser scanners for modeling and analysis in architecture, engineering, and construction , 2010, 2010 44th Annual Conference on Information Sciences and Systems (CISS).

[9]  Heng Li,et al.  Rethinking prefabricated construction management using the VP‐based IKEA model in Hong Kong , 2011 .

[10]  Yacine Rezgui,et al.  A GOVERNANCE APPROACH FOR BIM MANAGEMENT ACROSS LIFECYCLE AND SUPPLY CHAINS USING MIXED-MODES OF INFORMATION DELIVERY , 2013 .

[11]  Xiangyu Wang,et al.  A theoretical framework of a BIM-based multi-disciplinary collaboration platform , 2011 .

[12]  Per-Erik Josephson,et al.  Illustrative Benchmarking Rework and Rework Costs in Swedish Construction Industry , 2002 .

[13]  Jaehoon Jung,et al.  Productive modeling for development of as-built BIM of existing indoor structures , 2014 .

[14]  Eric S. Norman,et al.  Work Breakdown Structures: The Foundation for Project Management Excellence , 2008 .

[15]  Thomas Olofsson,et al.  Credibility and applicability of virtual reality models in design and construction , 2008, Adv. Eng. Informatics.

[16]  Xiubing Li,et al.  Urban land expansion and arable land loss in China - a case study of Beijing-Tianjin-Hebei region , 2005 .

[17]  Margaret Horne,et al.  Strategic Perspectives on the Use of Virtual Reality within the Building Industries of Four Countries , 2008 .

[18]  Charles M. Eastman,et al.  BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors , 2008 .

[19]  Dana K. Smith,et al.  Building Information Modeling: A Strategic Implementation Guide for Architects, Engineers, Constructors, and Real Estate Asset Managers , 2009 .

[20]  Mark P. Mobach,et al.  Do virtual worlds create better real worlds? , 2008, Virtual Reality.

[21]  Barry McAuley,et al.  BICP Global BIM Study - Lessons for Ireland’s BIM Programme , 2017 .

[22]  Vineet R. Kamat,et al.  Leveraging BIM for Automated Fault Detection in Operational Buildings , 2013 .

[23]  Faisal Manzoor Arain,et al.  Knowledge-based decision support system for management of variation orders for institutional building projects , 2006 .

[24]  Soohee Han,et al.  Automated and Efficient Method for Extraction of Tunnel Cross Sections Using Terrestrial Laser Scanned Data , 2013, J. Comput. Civ. Eng..

[25]  Andrew Baldwin,et al.  A Framework for Measuring IT Innovation Benefits , 2000, J. Inf. Technol. Constr..

[26]  Burcin Becerik-Gerber,et al.  A Research Outlook for Real-Time Project Information Management by Integrating Advanced Field Data Acquisition Systems and Building Information Modeling , 2009 .

[27]  Peter E.D. Love,et al.  Quantifying the causes and costs of rework in construction , 2000 .

[28]  Seppo Junnila,et al.  URBAN REDEVELOPMENT CONCEPT FOR EXISTING NEIGHBORHOODS , 2010 .

[29]  Ioannis Stamos,et al.  Integrating Automated Range Registration with Multiview Geometry for the Photorealistic Modeling of Large-Scale Scenes , 2008, International Journal of Computer Vision.

[30]  Sui Pheng Low,et al.  A project management framework for enhanced productivity performance using building information modelling , 2017 .

[31]  Soohee Han,et al.  Productive high-complexity 3D city modeling with point clouds collected from terrestrial LiDAR , 2013, Comput. Environ. Urban Syst..

[32]  Burcu Akinci,et al.  Automatic Reconstruction of As-Built Building Information Models from Laser-Scanned Point Clouds: A Review of Related Techniques | NIST , 2010 .

[33]  Sabry F. El-Hakim,et al.  A multi-sensor approach to creating accurate virtual environments 1 Revised version of a paper prese , 1998 .

[34]  Dino Bouchlaghem,et al.  Visualisation in architecture, engineering and construction (AEC) , 2005 .

[35]  P. Hall,et al.  Urban and Regional Planning , 2019 .

[36]  Youngsoo Jung,et al.  Building information modelling (BIM) framework for practical implementation , 2011 .

[37]  Jennifer Whyte,et al.  From CAD to virtual reality : modelling approaches, data exchange and interactive 3D building design tools , 2000 .

[38]  Shlomo Globerson Impact of various work-breakdown structures on project conceptualization , 1994 .

[39]  J. M. García-Fornieles,et al.  A Work Breakdown Structure that Integrates Different Views in Aircraft Modification Projects , 2003, Concurr. Eng. Res. Appl..

[40]  Longhui Liao,et al.  Critical Success Factors for enhancing the Building Information Modelling implementation in building projects in Singapore , 2017 .

[41]  W. Duncan A GUIDE TO THE PROJECT MANAGEMENT BODY OF KNOWLEDGE , 1996 .

[42]  Chih-Chen Chang,et al.  Automated dimensional quality assurance of full-scale precast concrete elements using laser scanning and BIM , 2016 .

[43]  Min Liu,et al.  Modeling a Contractor’s Markup Estimation , 2005 .

[44]  Burcu Akinci,et al.  Representation Requirements of As-Is Building Information Models Generated from Laser Scanned Point Cloud Data , 2011 .

[45]  Kuan Yew Wong,et al.  Application of lean construction principles to reduce construction process waste using computer simulation: A case study , 2015 .

[46]  B. Giel,et al.  Using Laser Scanning to Access the Accuracy of As-Built BIM , 2011 .

[47]  Kasun Hewage,et al.  Building Information Modeling (BIM) partnering framework for public construction projects , 2013 .

[48]  C. Tomkins,et al.  Quality failure costs in civil engineering projects , 2000 .

[49]  Martin Fischer,et al.  A Simple Framework for Integrated Project Delivery , 2014 .

[50]  Hoon Sohn,et al.  Automated Estimation of Reinforced Precast Concrete Rebar Positions Using Colored Laser Scan Data , 2017, Comput. Aided Civ. Infrastructure Eng..

[51]  Tristan Randall,et al.  Construction Engineering Requirements for Integrating Laser Scanning Technology and Building Information Modeling , 2011 .