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A CASE STUDY OF CLASH DETECTION FOR EARLY DESIGN PHASES IN BUILDING INFORMATION MODELLING

Yıl 2024, Cilt: 1 Sayı: 1, 57 - 71, 29.01.2024

Öz

The utilization of digital modeling, monitoring, and simulation techniques in architectural and engineering projects at a real-world scale, following a predetermined workflow schedule, presents numerous advantages to key players and users involved in the construction process. Building information modeling and one of its associated advantages, clash/overlap detection, can play an important role during the initial stages of design development. The analysis of clash detection, which is a method that effectively identifies the overlap between spatial and three-dimensional geometric entities, facilitates a feedback-based design approach. The process of identifying and analyzing clashes can be conducted prior to the implementation phase, so guaranteeing long-term viability in relation to both temporal and financial aspects. In the context of this work, an examination of the available literature was conducted utilizing bibliometric approaches to get insight into the theoretical underpinnings of clash detection. In the present situation, significant clusters were acquired. In the methodology section, the modeling of the architectural design and structural project design for a two-storey architecture student center (ASC) project, spanning roughly 1200 square meters, was undertaken. The architectural and structural concepts of this project were designed using Autodesk Revit 2020 software, which is one of the building information modeling tools. Subsequently, clash detection analysis was employed. The analysis of clash detection was carried by using Autodesk Navisworks Manage 2020 software. The clashes, both soft and hard, were categorized and examined based on the achieved outcomes.

Kaynakça

  • Akponeware, A. O., & Adamu, Z. A. (2017). Clash detection or clash avoidance? An investigation into coordination problems in 3D BIM. Buildings, 7(3), 75.
  • Azhar, S., Khalfan, M., & Maqsood, T. (2012). Building information modeling (BIM): now and beyond. Australasian Journal of Construction Economics and Building, The, 12(4), 15-28.
  • Azhar, S., Nadeem, A., Mok, J. Y., & Leung, B. H. (2008, August). Building Information Modeling (BIM): A new paradigm for visual interactive modeling and simulation for construction projects. In Proc., First International Conference on Construction in Developing Countries (Vol. 1, pp. 435-46).
  • Bockstael, D., & Issa, M. H. (2016). A methodology for contractor clash detection using building information modelling on commercial construction projects. Journal of information technology in construction (ITcon), 21(16), 233-249.
  • Bradley, A., Li, H., Lark, R., & Dunn, S. (2016). BIM for infrastructure: An overall review and constructor perspective. Automation in construction, 71, 139-152.
  • Chidambaram, S. (2020). The application of clash-detection processes in building information modelling for rebars. Proceedings of the Institution of Civil Engineers-Smart Infrastructure and Construction, 172(2), 53-69.
  • Eastman, C. M., Eastman, C., Teicholz, P., Sacks, R., & Liston, K. (2011). BIM handbook: A guide to building information modeling for owners, managers, designers, engineers and contractors. John Wiley & Sons.
  • Eldeep, A. M., Farag, M. A., & Abd El-hafez, L. M. (2022). Using BIM as a lean management tool in construction processes–A case study. Ain Shams Engineering Journal, 13(2), 101556.
  • Elyano, M. R. (2021, July). Analysis of clash detection and quantity take-off using BIM for warehouse construction. In IOP Conference Series: Earth and Environmental Science (Vol. 794, No. 1, p. 012012). IOP Publishing.
  • Hasannejad, A., Sardrud, J. M., & Shirzadi Javid, A. A. (2022). BIM-based clash detection improvement automatically. International Journal of Construction Management, 1-7. He, Q., Wang, G., Luo, L., Shi, Q., Xie, J., & Meng, X. (2017). Mapping the managerial areas of Building Information Modeling (BIM) using scientometric analysis. International journal of project management, 35(4), 670-685.
  • Hu, Y., & Castro-Lacouture, D. (2019). Clash relevance prediction based on machine learning. Journal of computing in civil engineering, 33(2), 04018060.
  • Hu, Y., Castro-Lacouture, D., & Eastman, C. M. (2019). Holistic clash detection improvement using a component dependent network in BIM projects. Automation in Construction, 105, 102832.
  • Hu, Y., Castro-Lacouture, D., Eastman, C. M., & Navathe, S. B. (2021). Component change list prediction for BIM-based clash resolution from a graph perspective. Journal of Construction Engineering and Management, 147(8), 04021085.
  • Jin, R., Zou, Y., Gidado, K., Ashton, P., & Painting, N. (2019). Scientometric analysis of BIM-based research in construction engineering and management. Engineering, Construction and Architectural Management, 26(8), 1750-1776.
  • Kermanshahi, E. K., Tahir, M. B. M., Lim, N. H. A. S., Balasbaneh, A. T., & Roshanghalb, S. (2020, April). Implementation of building information modeling for construction clash detection process in the design stage: a case study of Malaysian police headquarter building. In IOP Conference Series: Earth and Environmental Science (Vol. 476, No. 1, p. 012009). IOP Publishing.
  • Koo, H. J., & O’Connor, J. T. (2022). A strategy for building design quality improvement through BIM capability analysis. Journal of Construction Engineering and Management, 148(8), 04022066. Utilizing building information modeling for automatic collision recognition significantly improves the design process's quality and efficiency.
  • Krygiel, E., & Nies, B. (2008). Green BIM: successful sustainable design with building information modeling. John Wiley & Sons.
  • Li, X., Wu, P., Shen, G. Q., Wang, X., & Teng, Y. (2017). Mapping the knowledge domains of Building Information Modeling (BIM): A bibliometric approach. Automation in Construction, 84, 195-206.
  • Lin, W. Y., & Huang, Y. H. (2019). Filtering of irrelevant clashes detected by BIM software using a hybrid method of rule-based reasoning and supervised machine learning. Applied Sciences, 9(24), 5324.
  • Liu, Z., Lu, Y., & Peh, L. C. (2019). A review and scientometric analysis of global building information modeling (BIM) research in the architecture, engineering and construction (AEC) industry. Buildings, 9(10), 210.
  • Olawumi, T. O., Chan, D. W., & Wong, J. K. (2017). Evolution in the intellectual structure of BIM research: A bibliometric analysis. Journal of Civil Engineering and Management, 23(8), 1060-1081.
  • Porwal, A., & Hewage, K. N. (2013). Building Information Modeling (BIM) partnering framework for public construction projects. Automation in construction, 31, 204-214.
  • Rakib, F. H., Howlader, S., Rahman, M., & Bhuiyan, A. Y. (2019). Application of BIM based interoperability-A case study. Journal of Logistics, Informatics and Service Science, 6(1), 106-114.
  • Seo, J. H., Lee, B. R., Kim, J. H., & Kim, J. J. (2012). Collaborative process to facilitate BIM-based clash detection tasks for enhancing constructability. Journal of the Korea institute of building construction, 12(3), 299-314.
  • Tommelein, I. D., & Gholami, S. (2012, July). Root causes of clashes in building information models. In Proceedings for the 20th Annual Conference of the International Group for Lean Construction (Vol. 1, No. 510, p. 10). IGLC San Diego, LA.
  • Trebbi, C., Cianciulli, M., Matarazzo, F., Mirarchi, C., Cianciulli, G., & Pavan, A. (2020). Clash detection and code checking BIM platform for the Italian market. Digital Transformation of the Design, Construction and Management Processes of the Built Environment, 115-125.
  • Valunjkar, M. S. P. R. S. (2017). Improve the Productivity of Building Construction Project using Clash detection Application in Building Information Modeling.
  • Van Eck, N. J., & Waltman, L. (2014). Visualizing bibliometric networks. In Measuring scholarly impact: Methods and practice (pp. 285-320). Cham: Springer International Publishing.
  • Van Eck, N., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. scientometrics, 84(2), 523-538.
  • Wang, L., & Leite, F. (2016). Formalized knowledge representation for spatial conflict coordination of mechanical, electrical and plumbing (MEP) systems in new building projects. Automation in construction, 64, 20-26.
  • Wong, J. K., Zhou, J. X., & Chan, A. P. (2018). Exploring the linkages between the adoption of BIM and design error reduction. Building information systems in the construction industry, 113.
  • Yamazaki, Y., Tabuchi, T., Kataoka, M., & Shimazaki, D. (2014). 3D/BIM applications to large-scale complex building projects in Japan. International Journal of High-Rise Buildings, 3(4), 311-323.
  • Zhao, X. (2017). A scientometric review of global BIM research: Analysis and visualization. Automation in Construction, 80, 37-47.

YAPI BİLGİ MODELLEMESİNDE ERKEN TASARIM AŞAMALARI İÇİN ÇAKIŞMA TESPİTİNE İLİŞKİN BİR VAKA ÇALIŞMASI

Yıl 2024, Cilt: 1 Sayı: 1, 57 - 71, 29.01.2024

Öz

Önceden belirlenmiş bir iş akışı programını takip ederek gerçek ölçekte mimari ve mühendislik projelerinde dijital modelleme, izleme ve simülasyon tekniklerinin kullanılması, inşaat sürecine dahil olan kilit oyunculara ve kullanıcılara çok sayıda avantaj sunmaktadır. Yapı bilgi modellemesi ve buna bağlı avantajlardan biri olan çakışma/örtüşme tespiti, tasarım geliştirmenin ilk aşamalarında önemli bir rol oynayabilir. Mekânsal ve üç boyutlu geometrik öğeler arasındaki örtüşmeyi etkin bir şekilde tanımlayan bir yöntem olan çakışma tespiti, geri bildirim tabanlı bir tasarım yaklaşımını kolaylaştırır. Çakışmaları belirleme ve analiz etme süreci, uygulama aşamasından önce gerçekleştirilebilir ve böylece hem zamansal hem de finansal açıdan uzun vadeli uygulanabilirliği garanti eder. Bu çalışma kapsamında, çatışma tespitinin teorik temelleri hakkında fikir edinmek için bibliyometrik yaklaşımlar kullanılarak mevcut literatürün bir incelemesi yapılmıştır. Mevcut durumda, önemli kümeler elde edilmiştir. Metodoloji bölümünde, yaklaşık 1200 metrekarelik iki katlı bir mimarlık öğrenci merkezi (ASC) projesi için mimari tasarım ve yapısal proje tasarımının modellenmesi gerçekleştirilmiştir. Bu projenin mimari ve yapısal konseptleri, yapı bilgi modelleme araçlarından biri olan Autodesk Revit 2020 yazılımı kullanılarak tasarlanmıştır. Ardından, çakışma tespit analizi yapılmıştır. Çatışma tespitinin analizi Autodesk Navisworks Manage 2020 yazılımı kullanılarak gerçekleştirilmiştir. Hem yumuşak hem de sert çakışmalar kategorize edilmiş ve elde edilen sonuçlara göre incelenmiştir.

Kaynakça

  • Akponeware, A. O., & Adamu, Z. A. (2017). Clash detection or clash avoidance? An investigation into coordination problems in 3D BIM. Buildings, 7(3), 75.
  • Azhar, S., Khalfan, M., & Maqsood, T. (2012). Building information modeling (BIM): now and beyond. Australasian Journal of Construction Economics and Building, The, 12(4), 15-28.
  • Azhar, S., Nadeem, A., Mok, J. Y., & Leung, B. H. (2008, August). Building Information Modeling (BIM): A new paradigm for visual interactive modeling and simulation for construction projects. In Proc., First International Conference on Construction in Developing Countries (Vol. 1, pp. 435-46).
  • Bockstael, D., & Issa, M. H. (2016). A methodology for contractor clash detection using building information modelling on commercial construction projects. Journal of information technology in construction (ITcon), 21(16), 233-249.
  • Bradley, A., Li, H., Lark, R., & Dunn, S. (2016). BIM for infrastructure: An overall review and constructor perspective. Automation in construction, 71, 139-152.
  • Chidambaram, S. (2020). The application of clash-detection processes in building information modelling for rebars. Proceedings of the Institution of Civil Engineers-Smart Infrastructure and Construction, 172(2), 53-69.
  • Eastman, C. M., Eastman, C., Teicholz, P., Sacks, R., & Liston, K. (2011). BIM handbook: A guide to building information modeling for owners, managers, designers, engineers and contractors. John Wiley & Sons.
  • Eldeep, A. M., Farag, M. A., & Abd El-hafez, L. M. (2022). Using BIM as a lean management tool in construction processes–A case study. Ain Shams Engineering Journal, 13(2), 101556.
  • Elyano, M. R. (2021, July). Analysis of clash detection and quantity take-off using BIM for warehouse construction. In IOP Conference Series: Earth and Environmental Science (Vol. 794, No. 1, p. 012012). IOP Publishing.
  • Hasannejad, A., Sardrud, J. M., & Shirzadi Javid, A. A. (2022). BIM-based clash detection improvement automatically. International Journal of Construction Management, 1-7. He, Q., Wang, G., Luo, L., Shi, Q., Xie, J., & Meng, X. (2017). Mapping the managerial areas of Building Information Modeling (BIM) using scientometric analysis. International journal of project management, 35(4), 670-685.
  • Hu, Y., & Castro-Lacouture, D. (2019). Clash relevance prediction based on machine learning. Journal of computing in civil engineering, 33(2), 04018060.
  • Hu, Y., Castro-Lacouture, D., & Eastman, C. M. (2019). Holistic clash detection improvement using a component dependent network in BIM projects. Automation in Construction, 105, 102832.
  • Hu, Y., Castro-Lacouture, D., Eastman, C. M., & Navathe, S. B. (2021). Component change list prediction for BIM-based clash resolution from a graph perspective. Journal of Construction Engineering and Management, 147(8), 04021085.
  • Jin, R., Zou, Y., Gidado, K., Ashton, P., & Painting, N. (2019). Scientometric analysis of BIM-based research in construction engineering and management. Engineering, Construction and Architectural Management, 26(8), 1750-1776.
  • Kermanshahi, E. K., Tahir, M. B. M., Lim, N. H. A. S., Balasbaneh, A. T., & Roshanghalb, S. (2020, April). Implementation of building information modeling for construction clash detection process in the design stage: a case study of Malaysian police headquarter building. In IOP Conference Series: Earth and Environmental Science (Vol. 476, No. 1, p. 012009). IOP Publishing.
  • Koo, H. J., & O’Connor, J. T. (2022). A strategy for building design quality improvement through BIM capability analysis. Journal of Construction Engineering and Management, 148(8), 04022066. Utilizing building information modeling for automatic collision recognition significantly improves the design process's quality and efficiency.
  • Krygiel, E., & Nies, B. (2008). Green BIM: successful sustainable design with building information modeling. John Wiley & Sons.
  • Li, X., Wu, P., Shen, G. Q., Wang, X., & Teng, Y. (2017). Mapping the knowledge domains of Building Information Modeling (BIM): A bibliometric approach. Automation in Construction, 84, 195-206.
  • Lin, W. Y., & Huang, Y. H. (2019). Filtering of irrelevant clashes detected by BIM software using a hybrid method of rule-based reasoning and supervised machine learning. Applied Sciences, 9(24), 5324.
  • Liu, Z., Lu, Y., & Peh, L. C. (2019). A review and scientometric analysis of global building information modeling (BIM) research in the architecture, engineering and construction (AEC) industry. Buildings, 9(10), 210.
  • Olawumi, T. O., Chan, D. W., & Wong, J. K. (2017). Evolution in the intellectual structure of BIM research: A bibliometric analysis. Journal of Civil Engineering and Management, 23(8), 1060-1081.
  • Porwal, A., & Hewage, K. N. (2013). Building Information Modeling (BIM) partnering framework for public construction projects. Automation in construction, 31, 204-214.
  • Rakib, F. H., Howlader, S., Rahman, M., & Bhuiyan, A. Y. (2019). Application of BIM based interoperability-A case study. Journal of Logistics, Informatics and Service Science, 6(1), 106-114.
  • Seo, J. H., Lee, B. R., Kim, J. H., & Kim, J. J. (2012). Collaborative process to facilitate BIM-based clash detection tasks for enhancing constructability. Journal of the Korea institute of building construction, 12(3), 299-314.
  • Tommelein, I. D., & Gholami, S. (2012, July). Root causes of clashes in building information models. In Proceedings for the 20th Annual Conference of the International Group for Lean Construction (Vol. 1, No. 510, p. 10). IGLC San Diego, LA.
  • Trebbi, C., Cianciulli, M., Matarazzo, F., Mirarchi, C., Cianciulli, G., & Pavan, A. (2020). Clash detection and code checking BIM platform for the Italian market. Digital Transformation of the Design, Construction and Management Processes of the Built Environment, 115-125.
  • Valunjkar, M. S. P. R. S. (2017). Improve the Productivity of Building Construction Project using Clash detection Application in Building Information Modeling.
  • Van Eck, N. J., & Waltman, L. (2014). Visualizing bibliometric networks. In Measuring scholarly impact: Methods and practice (pp. 285-320). Cham: Springer International Publishing.
  • Van Eck, N., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. scientometrics, 84(2), 523-538.
  • Wang, L., & Leite, F. (2016). Formalized knowledge representation for spatial conflict coordination of mechanical, electrical and plumbing (MEP) systems in new building projects. Automation in construction, 64, 20-26.
  • Wong, J. K., Zhou, J. X., & Chan, A. P. (2018). Exploring the linkages between the adoption of BIM and design error reduction. Building information systems in the construction industry, 113.
  • Yamazaki, Y., Tabuchi, T., Kataoka, M., & Shimazaki, D. (2014). 3D/BIM applications to large-scale complex building projects in Japan. International Journal of High-Rise Buildings, 3(4), 311-323.
  • Zhao, X. (2017). A scientometric review of global BIM research: Analysis and visualization. Automation in Construction, 80, 37-47.
Toplam 33 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mimarlık ve Tasarımda Bilgi Teknolojileri
Bölüm Research Article
Yazarlar

Veli Mustafa Yönder 0000-0001-6740-3443

Hasan Burak Çavka 0000-0002-8923-4641

Yayımlanma Tarihi 29 Ocak 2024
Gönderilme Tarihi 17 Aralık 2023
Kabul Tarihi 18 Ocak 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 1 Sayı: 1

Kaynak Göster

APA Yönder, V. M., & Çavka, H. B. (2024). A CASE STUDY OF CLASH DETECTION FOR EARLY DESIGN PHASES IN BUILDING INFORMATION MODELLING. Livenarch+ Journal, 1(1), 57-71.