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3D Design Modeling Application in Machine Guidance System for Earthwork Operations

  • Construction Management
  • Published:
KSCE Journal of Civil Engineering Aims and scope

Abstract

In the contemporary construction era, visualization of the site to be constructed is a requirement for every project. Despite its importance in the construction industry, 3D design visualization is not commonly used for earthwork projects. However, demand for 3D earthwork design is increasing because of the need for detailed earthwork planning and its application in machine guidance systems. Over the last few decades, this technology has evolved and has become a convenient tool in earthwork operations. This paper presents the methodology for creating 3D earthwork section design based on parametric modeling technique. The subassembly composer, Autodesk Application is used for creating the earthwork design sections according to site requirements. Four different case studies were conducted for reviewing the proposed 3D design methodology and its application in excavator’s machine guidance system. The earthwork sections, designed using this method were found compatible with the Machine guidance system. The objective of this research is to devise a simple and easy process to create the complex earthwork section to use in machine guidance system for any project. The paper concludes by indicating the future potential of the research field.

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References

  • Azar, E. R., Agnew, G., and Parker, A. (2015). “Effectiveness of automated machine guidence technology in productivity improvement: Case study.” Proceedings of ICSC15: The Canadian Society for Civil Engineering 5 th International/11 th Construction Specialty Conference, University of British Columbia, Vancouver, Canada, pp. 269–1–269–10, DOI: 10.14288/1.0076433.

    Google Scholar 

  • Bogenberger, C., Dell’Amico, M., Fuellerer, G., Hoefinger, G., Iori, M., Novellani, S., and Panicucci, B. (2015). “Two-phase earthwork optimization model for highway construction.” Journal of Construction Engineering and Management, Vol. 141, No. 6, pp. 05015003, DOI: 10.1061/(ASCE)CO.1943-7862.0000973.

    Article  Google Scholar 

  • California Department of Transportation (CADOT). “Automated machine guidance.” Available online: https://doi.org/www.dot.ca.gov/hq/construc/amg/(accessed on 12 December 2017).

  • Chau, K. W., Anson, M., and Zhang, J. P. (2004). “Four-dimensional visualization of construction scheduling and site utilization.” Journal of Construction Engineering and Management, Vol. 130, No. 4, pp. 598–606, DOI: 10.1061/(ASCE)0733-9364(2004)130:4(598).

    Article  Google Scholar 

  • Du, J. C. and Teng, H. C. (2007). “3D laser scanning and GPS technology for landslide earthwork volume estimation.” Automation in Construction, Vol. 16, No. 5, pp. 657–663, DOI: 10.1016/j.autcon.2006.11.002.

    Article  Google Scholar 

  • Easa, S. M. (1992). “Estimating earthwork volumes of curved roadways: Mathematical model.” Journal of Transportation Engineering, Vol. 118, No. 6, pp. 834–849.

    Article  Google Scholar 

  • Easa, S. M. (2003). “Estimating earthwork volumes of curved roadways: Simulation model.” Journal of Surveying Engineering, Vol. 129, No. 1, pp. 19–27, DOI: 10.1061/(ASCE)0733-9453(2003)129:1(19).

    Article  Google Scholar 

  • Eliseev, M., Tomchinskaya, T., Lipenkov, A., and Blinov, A. (2017). “Using 3D-modeling Technologies to Increase Road Safety.” Transportation Research Procedia, Vol. 20, pp. 171–179, DOI: 10.1016/j.trpro.2017.01.045.

    Article  Google Scholar 

  • Epps, J. W. and Corey, M. W. (1990). “Cut and fill calculations by modified average-end-area method.” Journal of Transportation Engineering, Vol. 116, No. 5, pp. 683–689.

    Article  Google Scholar 

  • Felus, Y. A., Saalfeld, A., and Schaffrin, B. (2005). “Delaunay triangulation structured kriging for surface interpolation.” Surveying and Land Information Science, Vol. 65, No. 1, pp. 27–36.

    Google Scholar 

  • Fragkakis, N., Marinelli, M., and Lambropoulos, S. (2015). “Preliminary cost estimate model for culverts.” Procedia Engineering, Vol. 123, pp. 153–161, DOI: 10.1016/j.proeng.2015.10.072.

    Article  Google Scholar 

  • Han, S., Hong, T., and Lee, S. (2008). “Production prediction of conventional and global positioning system–based earthmoving systems using simulation and multiple regression analysis.” Canadian Journal of Civil Engineering, Vol. 35, No. 6, pp. 574–587, DOI: 10.1139/L08-005.

    Article  Google Scholar 

  • Hannon, J. J. and Sulbaran, T. (2010). “MDOT Implementation Plan for Global Positioning Systems (GPS) Technology in Planning, Design, and Construction Delivery.” (No. FHWA/MS-DOT-RD-07-178). Mississippi Department of Transportation.

    Google Scholar 

  • Han, S. W. and Lee, S. Y. (2003). “Quantified benefit of GPS in earthmoving operations.” KSCE Journal of Civil Engineering, Vol. 7, No. 5, pp. 489–497, DOI: 10.1007/BFO2838315.

    Article  Google Scholar 

  • Han, S. W., Lee, S. Y., and Halpin, D. W. (2005). “Productivity evaluation of the conventional and GPS-based earthmoving systems using construction simulation.” Construction Research Congress 2005: Broadening Perspectives, San Diego, USA, pp. 1–9.

    Google Scholar 

  • Han, S., Lee, S., Hong, T., and Chang, H. (2006). “Simulation analysis of productivity variation by Global Positioning System (GPS) implementation in earthmoving operations.” Canadian Journal of Civil Engineering, Vol. 33, No. 9, pp. 1105–1114, DOI: 10.1139/L05-124.

    Article  Google Scholar 

  • Kim, H., Orr, K., Shen, Z., Moon, H., Ju, K., and Choi, W. (2014). “Highway alignment construction comparison using object-oriented 3D visualization modeling.” Journal of Construction Engineering and Management, Vol. 140, No. 10, pp. 05014008, DOI: 10.1061/(ASCE)CO.1943-7862.0000898.

    Article  Google Scholar 

  • Kim, H., Shen, Z., Moon, H., Ju, K., and Choi, W. (2016). “Developing a 3D intelligent object model for the application of construction planning/simulation in a highway project.” KSCE Journal of Civil Engineering, Vol. 20, No. 2, pp. 538–548, DOI: 10.1007/s12205-015-0463-4

    Article  Google Scholar 

  • Meneses, A. S., Chasco, F. R., García, B., Cabrejas, J., and González-Audícana, M. (2005). “Quality control in digital terrain models.” Journal of Surveying Engineering, Vol. 131, No. 4, pp. 118–124, DOI: 10.1061/(ASCE)0733-9453(2005)131:4(118)

    Article  Google Scholar 

  • Seo, J., Lee, S., Kim, J., and Kim, S. K. (2011). “Task planner design for an automated excavation system.” Automation in Construction, Vol. 20, No. 7, pp. 954–966, DOI: 10.1016/j.autcon.2011.03.013.

    Article  Google Scholar 

  • Shehata, M. M., Khalek, H. A., and Hakam, M. A. (2013). “Simulation analysis for productivity and unit cost by implementing GPS machine guidance in road construction operation in Egypt.” ICSDEC 2010: Developing the Frontier of Sustainable Design, Engineering, and Construction, ASCE Book, pp. 642–653, DOI: 10.1061/9780784412688.077.

    Google Scholar 

  • Shi, J. and AbouRizk, S. S. (1998). “An automated modeling system for simulating earthmoving operations.” Computer-Aided Civil and Infrastructure Engineering, Vol. 13, No. 2, pp. 121–130, DOI: 10.1111/0885-9507.00092.

    Article  Google Scholar 

  • Siebert, S. and Teizer, J. (2014). “Mobile 3D mapping for surveying earthwork projects using an Unmanned Aerial Vehicle (UAV) system.” Automation in Construction, Vol. 41, pp. 1–14, DOI: 10.1016/j.autcon.2014.01.004.

    Article  Google Scholar 

  • Snavely, N., Seitz, S. M., and Szeliski, R. (2008). “Modeling the world from internet photo collections.” International Journal of Computer Vision, Vol. 80, No. 2, pp. 189–210, DOI: 10.1007/s11263-007-0107-3.

    Article  Google Scholar 

  • U.S. Department of Transportation, Federal Highway Administration (2013). Automated machine guidance with use of 3d models-executive summary, USDOT FHWA, Available online: https://doi.org/www.fhwa.dot.gov/construction/3d/amg/(accessed on 12 December 2017).

  • Vahdatikhaki, F., Langari, S. M., Taher, A., El Ammari, K., and Hammad, A. (2017). “Enhancing coordination and safety of earthwork equipment operations using multi-agent System.” Automation in Construction, Vol. 81, pp. 267–285, DOI: 10.1016/j.autcon.2017.04.008.

    Article  Google Scholar 

  • Vennapusa, P. K., White, D. J., and Jahren, C. T. (2015). “Impacts of automated machine guidance on earthwork operations.” Civil, Construction and Environmental Engineering Conference Presentations and Proceedings 34, Ames, Iowa, USA, pp. 207–216.

    Google Scholar 

  • Vonderohe, A. P. and Hintz, C. (2010). 3D design terrain models for construction plans and GPS control of highway construction equipment, (No. CFIRE 02-05), National Center for Freight & Infrastructure Research & Education, Madison, Wisconsin, USA.

    Google Scholar 

  • White, D., Jahren, C., Vennapusa, P., Westort, C., Alhasan, A., Turkan, Y., Guo, F., Hannon, J., Dubree, A., and Sulbaran, T. (2017). Use of automated machine guidance within the transportation industry, The National Academies Press, Contractor’s Final Report for NCHRP Project 10–77, DOI 10.17226/25084.

    Google Scholar 

  • Yoo, H. S. and Kim, Y. S. (2017). “Development of a 3D local terrain modeling system of intelligent excavation robot.” KSCE Journal of Civil Engineering, Vol. 21, No. 3, pp. 565–578, DOI: 10.1007/s12205-016-0309-8.

    Article  Google Scholar 

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Correspondence to Jong Won Seo.

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Tanoli, W.A., Seo, J.W., Sharafat, A. et al. 3D Design Modeling Application in Machine Guidance System for Earthwork Operations. KSCE J Civ Eng 22, 4779–4790 (2018). https://doi.org/10.1007/s12205-018-0309-y

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