Automatic Rebar Estimation Algorithms for Integrated Project Delivery

Lim, Chaeyeon; Hong, Won‐Kee; Lee, Dong‐Hoon; Kim, Sunkuk

doi:10.3130/jaabe.15.411

Cited by 14 publications

(7 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is well known that quantity takeoff in different regions is usually carried out according to a specific construction classification system [22]. Because quantity takeoff rules and methods of compiling quantity bills are discrepant based on different construction classification systems, the accurate mapping between BIM data and a construction classification system plays an important role in the whole process of quantity takeoff [23]. To implement this mapping between BIM data and construction classification system, a method (the BQTCM method) is proposed in this paper.…”

Section: Design Of the Mapping Methods Between Bim Data And Construct...mentioning

confidence: 99%

See 1 more Smart Citation

Design and Implementation of Quantity Calculation Method Based on BIM Data

Chen

Jiang

et al. 2022

Sustainability

View full text Add to dashboard Cite

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.

show abstract

Section: Design Of the Mapping Methods Between Bim Data And Construct...mentioning

confidence: 99%

“…Choi et al proposed a BIM-based calculation process of structural component quantities in the early design stage [22]. Lim et al developed an automatic algorithm for the calculation of reinforcement quantities [23]. Moreover, a variety of BIM-based software has been developed to improve the efficiency of cost estimation [4].…”

Section: Literature Reviewmentioning

confidence: 99%

Design and Implementation of Quantity Calculation Method Based on BIM Data

Chen

Jiang

et al. 2022

Sustainability

View full text Add to dashboard Cite

show abstract

“…Liu et al (2015Liu et al ( , 2018 reported an automatic system to generate the boarding layout of drywalls in a BIM model with the lowest material waste. Lim et al (2016) proposed an automatic algorithm to calculate quantities of rebar from 3D structural models. Cho and Chun (2015) developed a method that integrates quantity takeoff logics and data mining techniques to estimate quantities of reinforced concrete structures based on BIM models.…”

Section: Bim-based Quantity Takeoffmentioning

confidence: 99%

Development of BIM-based quantity takeoff for light-gauge steel wall framing systems

Khosakitchalert¹,

Yabuki²,

Fukuda³

2020

ITcon

View full text Add to dashboard Cite

Quantity takeoff based on building information modeling (BIM) is more reliable, accurate, and rapid than the traditional quantity takeoff approach. However, the quality of BIM models affects the quality of BIM-based quantity takeoff. Our research focuses on drywalls, which consist of wall framings and wall panels. If BIM models from the design phases do not contain wall framing models, contractors or sub-contractors cannot perform quantity takeoff for purchasing materials. Developing wall framing models under a tight schedule in the construction phase is time-consuming, cost-intensive, and error-prone. The increased geometries in a BIM model also slow down the software performance. Therefore, in this research, an automatic method is proposed for calculating quantities of wall framings from drywalls in a BIM model. Building elements that overlap with the drywalls are subtracted from the drywall surfaces before calculation. The quantities of wall framings are then embedded into the properties of drywall in the BIM model and hence they can be extracted directly from the BIM model. A prototype system is developed and the proposed method is validated in an actual construction project. The results of the case study showed that the prototype system took 282 s to deliver accurate quantities of wall framings with deviations of 0.11 to 0.30% when compared to a baseline, and the file size of the BIM model after applying the proposed method was increased very slightly from 47.0 MB to 47.1 MB. This research contributes to developing an approach for quantity takeoff of wall framings that are not present in a BIM model. Accurate quantities of wall framings can be obtained while the time and cost of developing wall framings for quantity takeoff can be saved. The proposed method does not increase the geometries in the BIM model; therefore, the file size of the model does not increase greatly, which stabilizes the software performance.

show abstract

“…IPD integrates all project stakeholders into the evaluation of the financial performance of design decisions. An IPD arrangement sees all parties attuned to the overall project benefits from the design phase, leading to fewer modifications and queries – which minimizes waste, rework costs and RFIs (request for informations) – at later stages (Lim et al ., 2016). IPD targets cost overruns, delays and improved project performance.…”

Section: Introductionmentioning

confidence: 99%

Trends of integrated project delivery implementations viewed from an emerging innovation framework

Rashed

Mutis

2021

ECAM

View full text Add to dashboard Cite

PurposeResearch into integrated project delivery (IPD) has attracted increased attention over the past 2 decades, and a significant number of IPD studies have been published more recently. The purpose of the study is to explore the state of IPD to reveal innovative areas of focus.Design/methodology/approachThe research presented puts forward a science mapping and bibliometrics methods to study systematic analysis of IPD scientific output published between 2006 and 2020. It uses a framework from emerging literature relating to innovation to incorporate a perspective of the process of innovation for the analysis of IPD. The adapted framework from the literature on innovation, called the Technology Innovation System (TIS), has functions that reveal novelty in the existing structures of IPD. The framework uses the analysis of scientific output from science mapping and bibliometric study techniques, using the ScienceDirect (SD) and Web of Science (WoS) databases as sources. The framework analyzes factors involved in the development and diffusion of the IPD approach and charts new knowledge development on IPD.FindingsFrom the analysis, future implementation of IPD will converge on cases of collaboration, as a systemic feature, among participating stakeholder teams. A significant and robust effect resulted from collaboration and integration as major mechanisms influence opportunities, problems and solutions within construction firms using IPD, marking a future trend. Reports further substantiate the importance and focus on collaboration and integration between IPD practitioners. With the same dynamic and gradual prominence, building information modeling (BIM) and new technology applications demonstrated the importance of the development and diffusion of IPD in the form of, for example, digital government initiatives. It is expected that the trend for IDS and resource mobilization functions will continue to grow – clear evidence of the benefits of the IPD approach in the construction sector. New evidence for gaining cognitive and normative legitimacy emerged. The expansion of new avenues for further legitimation is expected to enable growth.Research limitations/implicationsBeyond the innovative approach of viewing IPD from the emerging innovation framework, the research presented fully contributes to IPD literature, providing a comprehensive state-of-the-art status and a quantitative analysis of IPD scientific output, thereby illuminating promising work areas for future research into IPD. The main limitation is related to the dynamic process of indexing of IPD literature in the WoS and SD – although many new research publications are added in the discipline, only a part of them have been indexed in the WoS and SD core database.Practical implicationsThe study revealed key evolving trends within the field, including instructive findings and implications concerning possible deficiencies. Based on factors from network visualizations and quantitative evaluation from major influential articles, journals and authors, future critical IPD implementation focus will be on BIM and sustainability concepts – centerpiece concepts for the evolving line of IPD growth and development in the architecture, engineering and construction industry.Social implicationsThis study fills the gap created in a shortage of studies mapping out the most critical contributions in journals, authors and research perspectives related to IPD. It presents a framework that can be used as an objective procedure to evaluate the topic. It is expected that the study will serve as a cornerstone for researchers in this field, as it provides a bibliometric analysis and presents trends using an analytical framework of innovation.Originality/valueThe research presented is a keystone in the foundation of the literature review on this topic. The research draws on an existing framework for innovation – the TIS, developed from innovation studies using a robust theoretical framework to enable further analysis of IPD. This approach is one of a kind, using the results of scientometric analysis to study the scientific landscape and knowledge output of IPD in the AEC community. Science-mapping bibliometric analysis was conducted to shed light on IPD trends and explain factors that back or support the development and diffusion of IPD, including shaping and enabling evolution and growth. The framework helps to shed light on the interaction of socio-technical structures (i.e. stakeholders, technologies and rules) embedded in the industry, which helped create, direct and advance IPD in the project delivery system.

show abstract

Automatic Rebar Estimation Algorithms for Integrated Project Delivery

Cited by 14 publications

References 17 publications

Design and Implementation of Quantity Calculation Method Based on BIM Data

Design and Implementation of Quantity Calculation Method Based on BIM Data

Development of BIM-based quantity takeoff for light-gauge steel wall framing systems

Trends of integrated project delivery implementations viewed from an emerging innovation framework

Contact Info

Product

Resources

About