Skip to main content
SpringerLink
Log in

Waste Lime Earthwork Management Using Drone and BIM Technology for Construction Projects: The Case Study of Urban Development Project

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

Abstract

Recently, there has been a recognized need to use waste lime landfills for land reclamation projects. Waste lime earthwork is more challenging than general earthwork operations due to potential health and safety hazards and significant changes in earthwork volume. There has been substantial research undertaken on the role of advanced construction technologies in general earthwork; however, their potential in hazardous waste lime environments for earthwork management is yet to be explored. This research proposes a methodology that integrates drone and BIM construction technology for effective and efficient hazardous waste lime earthwork management for construction projects. Drones are used for surveying, providing as-built information, and BIM to model, process, and evaluate the progress of waste lime earthwork. Volume change analyses are conducted using BIM to calculate dehydration time due to the ripple effect of waste lime for cost-efficient earthwork haulage. The case study provides evidence that the proposed method using advanced construction technologies improves productivity, safety, cost control, and better project management for earthwork related to hazardous waste materials.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Ameri B, Meger D, Power K, Gao Y (2009) UAS applications: Disaster & emergency management. ASPRS 2009 Annual Conference, American Society for Photogrammetry and Remote Sensing, March 9–13, Baltimore, Maryland, USA

  • Azhar S (2011) Building information modeling (BIM): Trends, benefits, risks, and challenges for the AEC industry. Leadership and Management in Engineering 11(3):241–252, DOI: https://doi.org/10.1061/(ASCE)LM.1943-5630.0000127

    Article  Google Scholar 

  • Cheng ML, Matsuoka M, Liu W, Yamazaki F (2022) Near-real-time gradually expanding 3D land surface reconstruction in disaster areas by sequential drone imagery. Automation in Construction 135:104105, DOI: https://doi.org/10.1016/j.autcon.2021.104105

    Article  Google Scholar 

  • Colomina I, Molina P (2014) Unmanned aerial systems for photogrammetry and remote sensing: A review. ISPRS Journal of Photogrammetry and Remote Sensing 92:79–97, DOI: https://doi.org/10.1016/j.isprsjprs.2014.02.013

    Article  Google Scholar 

  • Deng T, Sharafat A, Wie YM, Lee KG, Lee E, Lee KH (2023) A geospatial analysis-based method for railway route selection in marine glaciers: A case study of the sichuan-tibet railway network. Remote Sensing 15(17):4175, DOI: https://doi.org/10.3390/rs15174175

    Article  Google Scholar 

  • Du JC, Teng HC (2007) 3D laser scanning and GPS technology for landslide earthwork volume estimation. Automation in Construction 16(5):657–663, DOI: https://doi.org/10.1016/j.autcon.2006.11.002

    Article  Google Scholar 

  • Edirisinghe R (2019) Digital skin of the construction site: Smart sensor technologies towards the future smart construction site. Engineering, Construction and Architectural Management 26(2):184–223, DOI: https://doi.org/10.1108/ECAM-04-2017-0066

    Article  Google Scholar 

  • Eisenbeiss H (2009) UAV photogrammetry. PhD Thesis, ETH Zurich, Zurich, Switzerland

    Google Scholar 

  • Esposito G, Mastrorocco G, Salvini R, Oliveti M, Starita P (2017) Application of UAV photogrammetry for the multi-temporal estimation of surface extent and volumetric excavation in the Sa Pigada Bianca open-pit mine, Sardinia, Italy. Environmental Earth Sciences 76(3):103, DOI: https://doi.org/10.1007/s12665-017-6409-z

    Article  Google Scholar 

  • Farhadmanesh M, Cross C, Mashhadi AH, Rashidi A, Wempen J (2021) Highway asset and pavement condition management using mobile photogrammetry. Transportation Research Record: Journal of the Transportation Research Board 2675(9):296–307, DOI: https://doi.org/10.1177/03611981211001855

    Article  Google Scholar 

  • Fitzpatrick BP (2016) Unmanned aerial systems for surveying and mapping: Cost comparison of UAS versus traditional methods of data acquisition. PhD Thesis, University of Southern California, Los Angeles, CA, USA

    Google Scholar 

  • Freimuth H, König M (2018) Planning and executing construction inspections with unmanned aerial vehicles. Automation in Construction 96:540–553, DOI: https://doi.org/10.1016/j.autcon.2018.10.016

    Article  Google Scholar 

  • Furukawa Y, Ponce J (2010) Accurate, dense, robust multiview stereopsis. IEEE Transactions on Pattern Analysis and Machine Intelligence 32(8):1362–1376, DOI: https://doi.org/10.1109/TPAMI.2009.161

    Article  Google Scholar 

  • Fys M, Yurkiv M, Lozynskyi V (2021) Modeling of 3-D objects using geodetic and cartographic data and determining their volumes with an accuracy assessment. Remote Sensing Applications: Society and Environment 22:100506, DOI: https://doi.org/10.1016/j.rsase.2021.100506

    Article  Google Scholar 

  • Gao J, Yan Y, Wang C (2011) Research on the application of UAV remote sensing in geologic hazards investigation for oil and gas pipelines. Proceedings of the International Conference on Pipelines and Trenchless Technology, October 26–29, Beijing, China

  • Gehrke S, Morin K, Downey M, Boehrer N, Fuchs T (2010) Semiglobal matching: An alternative to LIDAR for DSM generation. Proceedings of Canadian Geomatics Conference, June 15–18, Calgary, Alberta, Canada

  • Hausamann D, Zirnig W, Schreier G, Strobl P (2005) Monitoring of gas pipelines–a civil UAV application. Aircraft Engineering and Aerospace Technology 77(5):352–360, DOI: https://doi.org/10.1108/00022660510617077

    Article  Google Scholar 

  • Heintz F, Rudol P, Doherty P (2007) From images to traffic behavior - A UAV tracking and monitoring application. Proceedings of 10th International Conference on Information Fusion, July 9–12, Québec, Canada

  • Hudzietz, BP, Saripalli S (2012) An experimental evaluation of 3D terrain mapping with an autonomous helicopter. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XXXVIII-1/C22:137–142, DOI: https://doi.org/10.5194/isprsarchives-XXXVIII-1-C22-137-2011

    Article  Google Scholar 

  • Incekara A, Delen A, Seker D, Goksel C (2019) Investigating the utility potential of low-cost unmanned aerial vehicles in the temporal monitoring of a landfill. ISPRS International Journal of Geo-Information 8(1):22, DOI: https://doi.org/10.3390/ijgi8010022

    Article  Google Scholar 

  • James MR, Robson S (2012) Straightforward reconstruction of 3D surfaces and topography with a camera: Accuracy and geoscience application. Journal of Geophysical Research: Earth Surface 117(F3):1–17, DOI: https://doi.org/10.1029/2011JF002289

    Article  Google Scholar 

  • Kardasz P, Doskocz J (2016) Drones and possibilities of their using. Journal of Civil & Environmental Engineering 6(3):1–7, DOI: https://doi.org/10.4172/2165-784X.1000233

    Article  Google Scholar 

  • Kim IS, Latif K, Kim J, Sharafat A, Lee DE, Seo J (2022) Vision-based activity classification of excavators by bidirectional LSTM. Applied Sciences 13(1):272, DOI: https://doi.org/10.3390/app13010272

    Article  Google Scholar 

  • Kontitsis M, Valavanis KP, Tsourveloudis N (2004) A UAV vision system for airborne surveillance. Proceedings of IEEE International Conference on Robotics and Automation, April 26–May 01, New Orleans, LA, USA

  • Lee SB, Kim T, Ahn YJ, Lee JO (2019) Comparison of digital maps created by stereo plotting and vectorization based on images acquired by unmanned aerial vehicle. Sensors and Materials 31(11):3797, DOI: https://doi.org/10.18494/SAM.2019.2553

    Article  Google Scholar 

  • Lee SB, Song M, Kim S, Won JH (2020) Change monitoring at expressway infrastructure construction sites using drone. Sensors and Materials 32(11):3923, DOI: https://doi.org/10.18494/SAM.2020.2971

    Article  Google Scholar 

  • Li K, Voicu RC, Kanhere SS, Ni W, Tovar E (2019) Energy efficient legitimate wireless surveillance of UAV communications. IEEE Transactions on Vehicular Technology 68(3):2283–2293, DOI: https://doi.org/10.1109/TVT.2019.2890999

    Article  Google Scholar 

  • Lin JJ, Han KK, Golparvar-Fard M (2015) A framework for model-driven acquisition and analytics of visual data using uavs for automated construction progress monitoring. Proceedings of the 2015 International Workshop on Computing in Civil Engineering, June 21–23, Austin, Texas, USA

  • Matsimbe J (2020) Optimization of shovel-truck productivity in quarries. International Journal of Research in Advent Technology 8(10):1–9, DOI: https://doi.org/10.32622/ijrat.810202008

    Article  Google Scholar 

  • Matsimbe J (2021) Comparative application of photogrammetry, handmapping and android smartphone for geotechnical mapping and slope stability analysis. Open Geosciences 13(1):148–165, DOI: https://doi.org/10.1515/geo-2020-0213

    Article  Google Scholar 

  • Matsimbe J, Mdolo W, Kapachika C, Musonda I, Dinka M (2022) Comparative utilization of drone technology vs traditional methods in open pit stockpile volumetric computation: A case of njuli quarry, Malawi. Frontiers in Built Environment (8):1037487, DOI: https://doi.org/10.3389/fbuil.2022.1037487

  • Metni N, Hamel T (2007) A UAV for bridge inspection: Visual servoing control law with orientation limits. Automation in Construction 17(1):3–10, DOI: https://doi.org/10.1016/j.autcon.2006.12.010

    Article  Google Scholar 

  • Moon D, Chung S, Kwon S, Seo J, Shin J (2019) Comparison and utilization of point cloud generated from photogrammetry and laser scanning: 3D world model for smart heavy equipment planning. Automation in Construction 98:322–331, DOI: https://doi.org/10.1016/j.autcon.2018.07.020

    Article  Google Scholar 

  • Moon S, Ock J (2023) Developing the framework of drone curriculum to educate the drone beginners in the korean construction industry. Drones 7(6):356, DOI: https://doi.org/10.3390/drones7060356

    Article  Google Scholar 

  • Musonda I, Pillay N (2019) Using UAV’s and BIM integration to improve infrastructure delivery–a case of gauteng department of infrastructure development, South Africa. Proceedings of the Creative Construction Conference, June 29–July 2, Budapest University of Technology and Economics, Budapest, Hungary

    Google Scholar 

  • Nex F, Remondino F (2014) UAV for 3D mapping applications: A review. Applied Geomatics 6(1):1–15, DOI: https://doi.org/10.1007/s12518-013-0120-x

    Article  Google Scholar 

  • Noruwa BI, Arewa AO, Merschbrock C (2022) Effects of emerging technologies in minimizing variations in construction projects in the UK. International Journal of Construction Management 22(11):2199–2206, DOI: https://doi.org/10.1080/15623599.2020.1772530

    Article  Google Scholar 

  • Saari H, Pellikka I, Pesonen L, Tuominen S, Heikkilä J, Holmlund C, Mäkynen J, Ojala K, Antila T (2011) Unmanned aerial vehicle (UAV) operated spectral camera system for forest and agriculture applications. Proceedings of Remote Sensing for Agriculture, Ecosystems, and Hydrology XIII, 19–22 September, Prague, Czech Republic

  • Semsch E, Jakob M, Pavlicek D, Pechoucek M (2009) Autonomous UAV surveillance in complex urban environments. Proceedings of International Joint Conference on Web Intelligence and Intelligent Agent Technology, 15–18 September, Milan, Italy

  • Sharafat A, Khan MS, Latif K, Seo J (2021a) BIM-Based Tunnel information modeling framework for visualization, Management, and simulation of drill-and-blast tunneling projects. Journal of Computing in Civil Engineering 35(2):04020068, DOI: https://doi.org/10.1061/(ASCE)CP.1943-5487.0000955

    Article  Google Scholar 

  • Sharafat A, Khan MS, Latif K, Tanoli WA, Park W, Seo J (2021b) BIM-GIS-Based integrated framework for underground utility management system for earthwork operations. Applied Sciences 11(12):5721, DOI: https://doi.org/10.3390/app11125721

    Article  Google Scholar 

  • Sharafat A, Kim J, Park S, Seo J (2019) Accuracy and error analysis of 3d mapping using unmanned aerial vehicle (UAV) for earthwork project. Proceedings of KSCE 2019 Convention Conference and Civil Expo, October 16–18, Pyeong Chang Alpensia, Pyeong Chang, Korea

  • Shin EC, Kim SH, Kim GH (2009) Consolidation characteristics of waste lime in landfill construction. Proceedings of 2nd International Conference on New Developments in Soil Mechanics and Geotechnical Engineering, 28–30 May 2009, Near East University, Nicosia, North Cyprus

    Google Scholar 

  • Shin EC, Lee AY (2016) Geotechnical engineering characteristics and consolidation settlement estimation of waste lime landfill. Journal of the Korean Geosynthetic Society 15(4):1–8, DOI: https://doi.org/10.12814/jkgss.2016.15.4.001 (in Korean)

    Article  Google Scholar 

  • Shin EC, Oh YI (1999) Development of landfill material by utilizing waste lime. Journal of the Korean Geotechnical Society 15(3):17–25

    Google Scholar 

  • Shin EC, Oh YI, Das BM (1999) Feasibility of waste lime used in land reclamation projects in Korea. Proceedings of The Ninth International Offshore and Polar Engineering Conference, May 30–June 4, Brest, France

  • Siebert S, Teizer J (2014) Mobile 3D mapping for surveying earthwork projects using an unmanned aerial vehicle (UAV) system. Automation in Construction 41:1–14, DOI: https://doi.org/10.1016/j.autcon.2014.01.004

    Article  Google Scholar 

  • Sliusar N, Filkin T, Huber-Humer M, Ritzkowski M (2022) Drone technology in municipal solid waste management and landfilling: A comprehensive review. Waste Management 139:1–16, DOI: https://doi.org/10.1016/j.wasman.2021.12.006

    Article  Google Scholar 

  • Sung DH, Hee MP (2008) A study on engineering characteristics of asphalt concrete using filler with recycled waste lime. Waste Management 28(1):191–199, DOI: https://doi.org/10.1016/j.wasman.2006.11.011

    Article  Google Scholar 

  • Tanoli WA, Seo JW, Sharafat A, Lee SS (2018) 3D Design modeling application in machine guidance system for earthwork operations. KSCE Journal of Civil Engineering 22(12):4779–4790, DOI: https://doi.org/10.1007/s12205-018-0309-y

    Article  Google Scholar 

  • Tanoli WA, Sharafat A, Park J, Seo JW (2019) Damage prevention for underground utilities using machine guidance. Automation in Construction 107:102893, DOI: https://doi.org/10.1016/j.autcon.2019.102893

    Article  Google Scholar 

  • Tchounwou PB, Yedjou CG, Patlolla AK, Sutton DJ (2012) Heavy metal toxicity and the environment. In: Luch A (eds) Molecular, Clinical and Environmental Toxicology. Experientia Supplementum, vol 101. Springer, New York, USA, 133–164

    Chapter  Google Scholar 

  • Tucci G, Gebbia A, Conti A, Fiorini L, Lubello C (2019) Monitoring and computation of the volumes of stockpiles of bulk material by means of UAV photogrammetric surveying. Remote Sensing 11(12):1471, DOI: https://doi.org/10.3390/rs11121471

    Article  Google Scholar 

  • Umair M, Sharafat A, Lee DE, Seo J (2022) Impact of virtual reality-based design review system on user’s performance and cognitive behavior for building design review tasks. Applied Sciences 12(14):7249, DOI: https://doi.org/10.3390/app12147249

    Article  Google Scholar 

  • Umar T (2021) Applications of drones for safety inspection in the Gulf Cooperation Council construction. Engineering, Construction and Architectural Management 28(9):2337–2360, DOI: https://doi.org/10.1108/ECAM-05-2020-0369

    Article  Google Scholar 

  • Williams T, Bernold L, Lu H (2007) Adoption patterns of advanced information technologies in the construction industries of the United States and Korea. Journal of Construction Engineering and Management 133(10):780–790, DOI: https://doi.org/10.1061/(ASCE)0733-9364(2007)133:10(780)

    Article  Google Scholar 

Download references

Acknowledgments

This work is supported by the Korea Agency for Infrastructure Technology Advancement (KAIA) grant funded by the Ministry of Land, Infrastructure and Transport (National Research for Smart Construction Technology: Grant RS-2020-KA157089).

Author information

Authors and Affiliations

  1. Dept. of Civil & Environmental Engineering, Hanyang University, Seoul, 04763, Korea

    Soomin Lee, Jung Yeoul Bae & Jongwon Seo

  2. School of Architectural, Civil, Environment and Energy Engineering, Kyungpook National University, Daegu, 41566, Korea

    Abubakar Sharafat

Authors
  1. Soomin Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jung Yeoul Bae
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Abubakar Sharafat
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jongwon Seo
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jongwon Seo.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lee, S., Bae, J.Y., Sharafat, A. et al. Waste Lime Earthwork Management Using Drone and BIM Technology for Construction Projects: The Case Study of Urban Development Project. KSCE J Civ Eng 28, 517–531 (2024). https://doi.org/10.1007/s12205-023-1245-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12205-023-1245-z

Keywords

Search

Navigation