Daniel Darma Widjaja , Lwun Poe Khant , Titi Sari Nurul Rachmawati , Sunkuk Kim
{"title":"Development of automatic rebar layout algorithms considering design characteristics of reinforced concrete members","authors":"Daniel Darma Widjaja , Lwun Poe Khant , Titi Sari Nurul Rachmawati , Sunkuk Kim","doi":"10.1016/j.asej.2025.103367","DOIUrl":null,"url":null,"abstract":"<div><div>Rebar layout is crucial for structural integrity, cost efficiency, and accurate estimation in construction. This paper presents advanced algorithms for optimizing rebar cutting lengths and automating structural drawings. Utilizing structural design outputs, the approach integrates special length rebar concepts and shape codes for precise bend deductions. Algorithms were developed to calculate rebar lengths for structural elements like columns and beams, addressing longitudinal continuous, discontinuous, and confinement rebars. This resulted in a 10.56% reduction in column rebar quantities and a 2.22% reduction for beams compared to the original design. Automated rebar layout algorithms also established equations for determining rebar coordinates and arrangements, facilitating efficient structural drawing generation. This reduces manual drafting, streamlines rebar workflows, and enhances project efficiency. The findings highlight the potential of computational techniques in rebar layout optimization, enabling cost-effective, sustainable construction practices while improving accuracy and efficiency.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 5","pages":"Article 103367"},"PeriodicalIF":6.0000,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ain Shams Engineering Journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S209044792500108X","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Rebar layout is crucial for structural integrity, cost efficiency, and accurate estimation in construction. This paper presents advanced algorithms for optimizing rebar cutting lengths and automating structural drawings. Utilizing structural design outputs, the approach integrates special length rebar concepts and shape codes for precise bend deductions. Algorithms were developed to calculate rebar lengths for structural elements like columns and beams, addressing longitudinal continuous, discontinuous, and confinement rebars. This resulted in a 10.56% reduction in column rebar quantities and a 2.22% reduction for beams compared to the original design. Automated rebar layout algorithms also established equations for determining rebar coordinates and arrangements, facilitating efficient structural drawing generation. This reduces manual drafting, streamlines rebar workflows, and enhances project efficiency. The findings highlight the potential of computational techniques in rebar layout optimization, enabling cost-effective, sustainable construction practices while improving accuracy and efficiency.
期刊介绍:
in Shams Engineering Journal is an international journal devoted to publication of peer reviewed original high-quality research papers and review papers in both traditional topics and those of emerging science and technology. Areas of both theoretical and fundamental interest as well as those concerning industrial applications, emerging instrumental techniques and those which have some practical application to an aspect of human endeavor, such as the preservation of the environment, health, waste disposal are welcome. The overall focus is on original and rigorous scientific research results which have generic significance.
Ain Shams Engineering Journal focuses upon aspects of mechanical engineering, electrical engineering, civil engineering, chemical engineering, petroleum engineering, environmental engineering, architectural and urban planning engineering. Papers in which knowledge from other disciplines is integrated with engineering are especially welcome like nanotechnology, material sciences, and computational methods as well as applied basic sciences: engineering mathematics, physics and chemistry.