YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASCE
    • Journal of Construction Engineering and Management
    • View Item
    •   YE&T Library
    • ASCE
    • Journal of Construction Engineering and Management
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Minimization of Rebar Cutting Waste Using BIM and Cutting Pattern-Oriented Multiobjective Optimization

    Source: Journal of Construction Engineering and Management:;2024:;Volume ( 150 ):;issue: 011::page 04024166-1
    Author:
    Zhiqi Wang
    ,
    Lu Jia
    ,
    Jing Lv
    ,
    Jiantao Huang
    DOI: 10.1061/JCEMD4.COENG-15104
    Publisher: American Society of Civil Engineers
    Abstract: Rebars are among the main materials used in reinforced concrete structures and among the costliest and most carbon-intensive construction materials. However, during the construction phase, rebar cutting schemes are usually not rationalized enough and may lead to up to 8% waste. Previous studies and practices showed that obtaining data on rebar cutting can be labor intensive and imprecise, lacking the profiling of quantity take-off factors. Additionally, existing optimization techniques often do not adequately consider field characteristics, such as the number of cutting patterns and the scale of the problem, and the characteristics of the cutting data. This study proposes a practical, integrated approach for minimizing rebar cutting waste during the construction phase. The proposed approach consists of two main parts. The first part is obtaining rebar cutting data based on building information modeling (BIM). In this paper, the main influencing factors of rebar quantity take-off are analyzed, and the modeling hierarchy is divided based on these factors to obtain accurate cutting data. The hierarchy also reflects repeatable commonalities between different rebar systems, which helps reduce repetitive modeling efforts and increase efficiency. In the second part, a cutting pattern-oriented multiobjective optimization method is proposed to optimize the cutting scheme. The process is divided into three stages: generating valid cutting patterns, optimizing their frequency, and combining a small number of remaining components. The method combines three algorithms—column generation, particle swarm optimization, and best-fit decreasing—to solve the problem according to the characteristics of each stage. The influence of multiobjectives on the final optimization result is further explored through a sensitivity analysis. The integrated approach was validated with test sets of different sizes, types, and complexities. Its effectiveness and generalizability in reducing rebar cutting waste contribute to its applicability and the achievement of construction sustainability goals. Rebars are among the main materials used in reinforced concrete structures and among the costliest and most carbon-intensive construction materials. Due to the extensiveness of the construction management mode, rebar has inevitably become one of the main sources of construction waste. However, due to the lack of practical optimization methods, this percentage can reach 5%–8% or even higher. This study proposes a practical approach for minimizing rebar cutting waste during the construction phase. In this paper, the main influencing factors of rebar quantity take-off are analyzed, and the modeling hierarchy is divided based on these factors to obtain accurate cutting data. Then, the cutting patterns are optimized, including generating valid cutting patterns, optimizing the frequency of the cutting patterns, combining a small number of remaining components, and organizing them into cutting schemes. The integrated approach provides a flexible perspective for solving this problem. The approach was tested for its generalizability and adaptability in various construction scenarios using test sets of different sizes, types, and complexities. The effectiveness of the approach in reducing rebar cutting waste, combined with the consideration of field characteristics and engineering habits, contributes to its applicability and the achievement of construction sustainability goals.
    • Download: (5.918Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Minimization of Rebar Cutting Waste Using BIM and Cutting Pattern-Oriented Multiobjective Optimization

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4304937
    Collections
    • Journal of Construction Engineering and Management

    Show full item record

    contributor authorZhiqi Wang
    contributor authorLu Jia
    contributor authorJing Lv
    contributor authorJiantao Huang
    date accessioned2025-04-20T10:33:02Z
    date available2025-04-20T10:33:02Z
    date copyright9/10/2024 12:00:00 AM
    date issued2024
    identifier otherJCEMD4.COENG-15104.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4304937
    description abstractRebars are among the main materials used in reinforced concrete structures and among the costliest and most carbon-intensive construction materials. However, during the construction phase, rebar cutting schemes are usually not rationalized enough and may lead to up to 8% waste. Previous studies and practices showed that obtaining data on rebar cutting can be labor intensive and imprecise, lacking the profiling of quantity take-off factors. Additionally, existing optimization techniques often do not adequately consider field characteristics, such as the number of cutting patterns and the scale of the problem, and the characteristics of the cutting data. This study proposes a practical, integrated approach for minimizing rebar cutting waste during the construction phase. The proposed approach consists of two main parts. The first part is obtaining rebar cutting data based on building information modeling (BIM). In this paper, the main influencing factors of rebar quantity take-off are analyzed, and the modeling hierarchy is divided based on these factors to obtain accurate cutting data. The hierarchy also reflects repeatable commonalities between different rebar systems, which helps reduce repetitive modeling efforts and increase efficiency. In the second part, a cutting pattern-oriented multiobjective optimization method is proposed to optimize the cutting scheme. The process is divided into three stages: generating valid cutting patterns, optimizing their frequency, and combining a small number of remaining components. The method combines three algorithms—column generation, particle swarm optimization, and best-fit decreasing—to solve the problem according to the characteristics of each stage. The influence of multiobjectives on the final optimization result is further explored through a sensitivity analysis. The integrated approach was validated with test sets of different sizes, types, and complexities. Its effectiveness and generalizability in reducing rebar cutting waste contribute to its applicability and the achievement of construction sustainability goals. Rebars are among the main materials used in reinforced concrete structures and among the costliest and most carbon-intensive construction materials. Due to the extensiveness of the construction management mode, rebar has inevitably become one of the main sources of construction waste. However, due to the lack of practical optimization methods, this percentage can reach 5%–8% or even higher. This study proposes a practical approach for minimizing rebar cutting waste during the construction phase. In this paper, the main influencing factors of rebar quantity take-off are analyzed, and the modeling hierarchy is divided based on these factors to obtain accurate cutting data. Then, the cutting patterns are optimized, including generating valid cutting patterns, optimizing the frequency of the cutting patterns, combining a small number of remaining components, and organizing them into cutting schemes. The integrated approach provides a flexible perspective for solving this problem. The approach was tested for its generalizability and adaptability in various construction scenarios using test sets of different sizes, types, and complexities. The effectiveness of the approach in reducing rebar cutting waste, combined with the consideration of field characteristics and engineering habits, contributes to its applicability and the achievement of construction sustainability goals.
    publisherAmerican Society of Civil Engineers
    titleMinimization of Rebar Cutting Waste Using BIM and Cutting Pattern-Oriented Multiobjective Optimization
    typeJournal Article
    journal volume150
    journal issue11
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/JCEMD4.COENG-15104
    journal fristpage04024166-1
    journal lastpage04024166-17
    page17
    treeJournal of Construction Engineering and Management:;2024:;Volume ( 150 ):;issue: 011
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian