Chapter
Mar 7, 2022

A Framework to Enhance Utilization of Automated Progress Measurements in Construction Projects

Publication: Construction Research Congress 2022

ABSTRACT

Deviation between project baseline and actual performance is a common challenge in the construction industry. Traditional monitoring and tracking of construction project status is labour-intensive, error-prone, time-consuming, and costly. Despite research and technological developments, the optimal level of efficiency in automated construction project measurement has not been met. Not achieving the desired automation efficiency is caused by a significant gap between using automated progress measurements and traditional project measurement systems. This requires a structured framework for integrating automated data acquisition and progress measurement through baseline plans. This paper proposes a systematic, generic framework to integrate baseline development with 5D Building Information Modeling (BIM) and automated project monitoring and measurement. The integration process involves using work packages and S-curve to automatically measure progress values. Also, interviews with five industry experts were conducted to assure the applicability and feasibility of the proposed framework. Developing this framework will help the construction industry to maximize the benefits of implementing automated project measurements and minimize the problems of traditional measurement methods.

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REFERENCES

Alizadeh Salehi, S., and Yitmen, İ. (2018). “Modeling and analysis of the impact of BIM-based field data capturing technologies on automated construction progress monitoring.” Int. J. Civ. Eng., 16(12), 1669–1685.
Amer, F., Koh, H. Y., and Golparvar-Fard, M. (2021). “Automated Methods and Systems for Construction Planning and Scheduling: Critical Review of Three Decades of Research.” J. Constr. Eng. Manage., https://doi.org/10.1061/(ASCE)CO.1943-7862.0002093.
Bosché, F., Guillemet, A., Turkan, Y., Haas, C. T., and Haas, R. (2014). “Tracking the built status of MEP works: Assessing the value of a Scan-vs-BIM system.” J. Comput. Civ. Eng., 28(4), 05014004.
Brilakis, I., Fathi, H., and Rashidi, A. (2011). “Progressive 3D reconstruction of infrastructure with videogrammetry.” Autom. Constr., 20(7), 884–895.
Clevenger, C. M., Ozbek, M., Glick, S., and Porter, D. (2010, February). “Integrating BIM into construction management education.” In EcoBuild Proc. of the BIM-Related Academic Workshop (Vol. 8).
Douglas, E. (2010). “Schedule levels of detail-As applied in engineering, procurement and construction.”.
Eadie, R., Browne, M., Odeyinka, H., McKeown, C., and McNiff, S. (2013). “BIM implementation throughout the UK construction project lifecycle: An analysis.” Autom. Constr., 36, 145–151.
Golparvar-Fard, M., Peña-Mora, F., Arboleda, C. A., and Lee, S. (2009a). “Visualization of construction progress monitoring with 4D simulation model overlaid on time-lapsed photographs.” J. Comput. Civ. Eng., 23(6), 391–404.
Golparvar-Fard, M., Savarese, S., and Professor, A. (2009b). “D4AR-a 4-dimensional augmented reality model for automating construction progress monitoring data collection, processing and communication.” J. Inf. Technol. Construct., 14(13), 129–153.
Golparvar-Fard, M., Peña-Mora, F., and Savarese, S. (2015). “Automated progress monitoring using unordered daily construction photographs and IFC-based building information models.” J. Comput. Civ. Eng., 29(1), 04014025.
Han, K., Degol, J., and Golparvar-Fard, M. (2018). “Geometry-and appearance-based reasoning of construction progress monitoring.” J. Constr. Eng. Manage., 144(2), 04017110.
Isaac, S., Curreli, M., and Stoliar, Y. (2017). “Work packaging with BIM.” Autom. Constr., 83, 121–133.
Kim, C., Son, H., and Kim, C. (2013). “Automated construction progress measurement using a 4D building information model and 3D data.” Autom. Constr., 31, 75–82.
Klein, L., Li, N., and Becerik-Gerber, B. (2012). “Imaged-based verification of as-built documentation of operational buildings.” Autom. Constr., 21, 161–171.
Konior, J., and Szóstak, M. (2020). “The S-Curve as a Tool for Planning and Controlling of Construction Process—Case Study.” Appl. Sci., MDPI, 10(6), 2071.
Kopsida, M., Brilakis, I., and Vela, P. A. (2015). “A review of automated construction progress monitoring and inspection methods.” In Proc. of the 32nd CIB W78 Conf., 421–431.
Latiffi, A. A., Brahim, J., Mohd, S., and Fathi, M. S. (2015). “Building information modeling (BIM): exploring level of development (LOD) in construction projects.” Appl. Mech. Mater., Trans Tech Publications Ltd., 773-774, 933–937.
Liu, H., Al-Hussein, M., and Lu, M. (2015). “BIM-based integrated approach for detailed construction scheduling under resource constraints.” Autom. Constr., 53, 29–43.
Moselhi, O., Bardareh, H., and Zhu, Z. (2020). “Automated data acquisition in construction with remote sensing technologies.” Appl. Sci, MDPI, 10(8), 2846.
Omar, T., and Nehdi, M. L. (2016). “Data acquisition technologies for construction progress tracking.” Autom. Constr., 70, 143–155.
Porwal, A., and Hewage, K. N. (2013). “Building Information Modeling (BIM) partnering framework for public construction projects.” Autom. Constr., 31, 204–214.
Pučko, Z., Šuman, N., and Rebolj, D. (2018). “Automated continuous construction progress monitoring using multiple workplace real time 3D scans.” Adv. Eng. Inf., 38, 27–40.
Srivastava, A., and Thomson, S. B. (2009). “Framework analysis: a qualitative methodology for applied policy research.” J. Administration Governance, 72–79.
Tang, P., Huber, D., Akinci, B., Lipman, R., and Lytle, A. (2010). “Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniques.” Autom. Constr., 19(7), 829–843.
Tuttas, S., Braun, A., Borrmann, A., and Stilla, U. (2017). “Acquisition and consecutive registration of photogrammetric point clouds for construction progress monitoring using a 4D BIM.” PFG- J. Photogramm. Remote Sens. Geoinf. Sci., 85(1), 3–15.
Wang, K. C., Wang, W. C., Wang, H. H., Hsu, P. Y., Wu, W. H., and Kung, C. J. (2016). “Applying building information modeling to integrate schedule and cost for establishing construction progress curves.” Autom. Constr., 72, 397–410.

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Go to Construction Research Congress 2022
Construction Research Congress 2022
Pages: 651 - 660

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Published online: Mar 7, 2022

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Negar Mansouri Asl [email protected]
1Ph.D. Student, Dept. of Civil and Environmental Engineering, Univ. of Alberta. Email: [email protected]
Ahmed Hammad, Ph.D. [email protected]
2Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of Alberta. Email: [email protected]

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