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Framework for Automated Generation of Constructible Steel Erection Sequences Using Structural Information of Static Indeterminacy Variation in BIM

  • Construction Management
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Abstract

For effective pre-construction process, engineers create a 4D building information model (BIM). However, the rich information associated with the creation of the 4D BIM leads to manual effort. Past studies explored methods that automatically generate construction schedules using 3D building models. However, no method properly utilized relationships between building elements to robustly generate 4D BIMs that are structural stable during installation. This research presents an approach to the automated generation of structurally stable construction sequences using a 3D BIM. Focusing on steel erection, we create a framework integrating a 3D BIM and algorithms to create a 4D BIM with detailed steel erection sequences of individual elements. This research explores an approach to a variation of static indeterminacy for each installation process of steel elements. The principle of this approach is based on the relationships among the nodes and the connections among steel elements, information about which is available to those involved in the project. For validation, we test a prototype software program using a BIM for a real-world construction project. The results indicate that the prototype utilizing the static indeterminacy variation could generate a large number of random sequences and successfully transforms them into stable sequences. This study establishes the foundational step of generating constructible sequences using structural information in BIM which is found to be more robust than previous approaches, and results of this study can lead to follow up studies for full automation such as automated analysis and optimization of the sequences.

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References

  • Akhuli M, Cho C, Park J, Kim K (2018) Automated generation of optimal steel sequences with discrete action, status, and interaction simulation in BIM. Proceedings of construction research congress 2018, April 2–4, New Orleans, LA, USA, DOI: https://doi.org/10.1061/9780784481264.002

  • Altun M, Akcamete A (2019) A method for facilitating 4D modeling by automating task information generation and mapping. Proceedings of Advances in Informatics and Computing in Civil and Construction Engineering, DOI: https://doi.org/10.1007/978-3-030-00220-657

  • Cheng D, Abbott E, Chua D, Tashrif A (2014) Automated master project schedule for construction incorporating building information model and IFC. Proceedings of the 5 international conference on engineering, project, and production management, November 26–28, Port Elizabeth, South Africa, 182

  • Cheng JCP, Tan Y, Song Y, Liu X, Wang X (2017) A semi-automated approach to generate 4D/5D BIM models for evaluating different offshore oil and gas platform decommissioning options. Visualization in Engineering 5(1):12, DOI: https://doi.org/10.1186/s40327-017-0053-2

    Article  Google Scholar 

  • Chevallier N, Russell AD (1998) Automated schedule generation. Canadian Journal of Civil Engineering 25(6):1059–1077, DOI: https://doi.org/10.1139/198-029

    Article  Google Scholar 

  • Cho C, Park J, Kim K, Sakhakarmi S (2018a) Machine learning for assessing real-time safety conditions of scaffolds. Proceedings of the 35th international symposium on automation and robotics in construction (ISARC 2018), July 20–25, Berlin, Germany

  • Cho C, Sakhakarmi S, Kim K, Park J (2018b) Scaffolding modelling for real-time monitoring using a strain sensing approach. Proceedings of the 35th international symposium on automation and robotics in construction (ISARC 2018), July 20–25, Berlin, Germany

  • 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, Hoboken, NJ, USA

    Google Scholar 

  • Echeverry D, Ibbs CW, Kim S (1991) Sequencing knowledge for construction scheduling. Journal of Construction Engineering and Management 117(1):118–130, DOI: https://doi.org/10.1061/(ASCE)0733-9364(1991)117:1(118)

    Article  Google Scholar 

  • Faghihi V (2014) Automated and optimized project scheduling using BIM. PhD Thesis, Texas A&M University, College Station, TX, USA

    Google Scholar 

  • Faghihi V, Reinschmidt KF, Kang JH (2014) Construction scheduling using genetic algorithm based on building information model. Expert Systems with Applications 41(16):7565–7578, DOI: https://doi.org/10.1016/j.eswa.2014.05.047

    Article  Google Scholar 

  • Fischer M, Aalami F (1996) Scheduling with computer-interpretable construction method models. Construction Engineering and Management 122(4):337–347, DOI: https://doi.org/10.1061/(ASCE)0733-9364(1996)122:4(337)

    Article  Google Scholar 

  • Hu Z, Zhang J (2011) BIM- and 4D-based integrated solution of analysis and management for conflicts and structural safety problems during construction: 2. Development and site trials. Automation in Construction 20(2):155–166, DOI: https://doi.org/10.1016/j.autcon.2010.09.013

    Article  Google Scholar 

  • Kang JH, Anderson SD, Clayton MJ (2007) Empirical study on the merit of web-based 4D visualization in collaborative construction planning and scheduling. Journal of Construction Engineering and Management 133(6):447–461, DOI: https://doi.org/10.1061/(ASCE)0733-9364(2007)133:6(447)

    Article  Google Scholar 

  • Kim H, Anderson K, Lee S, Hildreth J (2013) Generating construction schedules through automatic data extraction using open BIM (building information modeling) technology. Automation in Construction 35:285–295, DOI: https://doi.org/10.1016/j.autcon.2013.05.020

    Article  Google Scholar 

  • Kim K, Cho Y, Kim K (2018) BIM-driven automated decision support system for safety planning of temporary structures. Journal of Construction Engineering and Management 144(8), DOI: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001519

  • Kim K, Cho YK, Zhang S (2016) Integrating work sequences and temporary structures into safety planning: Automated scaffolding-related safety hazard identification and prevention in BIM. Automation in Construction 70:128–142, DOI: https://doi.org/10.1016/j.autcon.2016.06.012

    Article  Google Scholar 

  • Kim K, Walewski J, Cho YK (2015) Multiobjective construction schedule optimization using modified niched pareto genetic algorithm. Journal of Management in Engineering 32(2):4015038, DOI: https://doi.org/10.1061/(ASCE)ME.1943-5479.0000374

    Article  Google Scholar 

  • Koo B, Fischer M (2000) Feasibility study of 4D CAD in commercial construction. Journal of Construction Engineering and Management 126(4):251–260, DOI: https://doi.org/10.1061/(ASCE)0733-9364(2000)126:4(251)

    Article  Google Scholar 

  • Leu S-S, Yang C-H (1999) A genetic-algorithm-based resource-constrained construction scheduling system. Construction Management & Economics 17(6):767–776, DOI: https://doi.org/10.1080/014461999371105

    Article  Google Scholar 

  • Liu H, Singh G, Lu M, Bouferguene A, Al-Hussein M (2018) BIM-based automated design and planning for boarding of light-frame residential buildings. Automation in Construction 89:235–249, DOI: https://doi.org/10.1016/j.autcon.2018.02.001

    Article  Google Scholar 

  • Mikulakova E, König M, Tauscher E, Beucke K (2010) Knowledge-based schedule generation and evaluation. Advanced Engineering Informatics 24(4):389–403, DOI: https://doi.org/10.1016/j.aei.2010.06.010

    Article  Google Scholar 

  • Mosaic Projects (2012) Core scheduling papers: #6 Schedule levels — major projects. Retreived July 11, 2020, http://www.mosaicprojects.com.au/PDF/Schedule_Levels.pdf

  • Park J, Cai H (2015) Automatic construction schedule generation method through BIM model creation. Proceedings of the 2015 international workshop on computing in civil engineering, June 21–23, Austin, TX, USA

  • Park J, Kim K, Cho YK (2016) Framework of automated construction-safety monitoring using cloud-enabled BIM and BLE mobile tracking sensors. Journal of Construction Engineering and Management 143(2):05016019, DOI: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001223

    Article  Google Scholar 

  • Processing Foundation (2020) A programming handbook for visual designers and artists. Retrieved September 1, 2020, https://processing.org/

  • Senouci A, Al-Derham HR (2008) Genetic algorithm-based multi-objective model for scheduling of linear construction projects. Advances in Engineering Software 39(12):1023–1028, DOI: https://doi.org/10.1016/j.advengsoft.2007.08.002

    Article  Google Scholar 

  • Senouci A, Neil NE (2004) Use of genetic algorithms in resource scheduling of construction projects. Journal of Construction Engineering and Management 130(6):869–877, DOI: https://doi.org/10.1061/(ASCE)0733-9364(2004)130:6(869)

    Article  Google Scholar 

  • Sheikhkhoshkar M, Pour Rahimian F, Kaveh MH, Hosseini MR, Edwards DJ (2019) Automated planning of concrete joint layouts with 4D-BIM. Automation in Construction 107:102943, DOI: https://doi.org/10.1016/j.autcon.2019.102943

    Article  Google Scholar 

  • Sulankivi K, Kähkönen K, Mäkelä T, Kiviniemi M (2010) 4D-BIM for construction safety planning. In: Proceedings of W099 — Special track 18th CIB world building congress, CIB, May 10–13, Manchester, UK

  • Tauscher E, Mikulakova E, Beucke K, König M (2009) Automated generation of construction schedules based on the IFC object model. Proceedings of international workshop on computing in civil engineering 2009, June 24–27, Austin, TX, US

  • Tulke J, Hanff J (2007) 4D construction sequence planning — New process and data model. In: Proceedings of CIB-W78 24th international conference on information technology in construction, June 27–29, Maribor, Slovenia

  • Uspensky JV (1948) Theory of equations. Tata McGraw-Hill Education, New Delhi, India

    Google Scholar 

  • Wang Z, Rezazadeh Azar E (2019) BIM-based draft schedule generation in reinforced concrete-framed buildings. Construction Innovation 19(2):280–294, DOI: https://doi.org/10.1108/CI-11-2018-0094

    Article  Google Scholar 

  • Zhang JP, Hu ZZ (2011) BIM- and 4D-based integrated solution of analysis and management for conflicts and structural safety problems during construction: 1. Principles and methodologies. Automation in Construction 20(2):167–180, DOI: https://doi.org/10.1016/j.autcon.2010.09.014

    Article  Google Scholar 

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Authors and Affiliations

  1. Durham School of Architectural Engineering and Construction, University of Nebraska-Lincoln, Omaha, NE, 68182, USA

    Kyungki Kim

  2. Dept. of Civil and Environmental Engineering and Construction, University of Nevada, Las Vegas, NV, 89154, USA

    JeeWoong Park

  3. Civil and Environmental Engineering, University of Hawaii at Manoa, Honolulu, HI, 96822, USA

    Chunhee Cho

Authors
  1. Kyungki Kim
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  2. JeeWoong Park
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  3. Chunhee Cho
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Correspondence to Chunhee Cho.

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Kim, K., Park, J. & Cho, C. Framework for Automated Generation of Constructible Steel Erection Sequences Using Structural Information of Static Indeterminacy Variation in BIM. KSCE J Civ Eng 24, 3169–3178 (2020). https://doi.org/10.1007/s12205-020-0163-6

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  • DOI: https://doi.org/10.1007/s12205-020-0163-6

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