Skip to main content

Advertisement

Log in

The BIM-enabled geotechnical information management of a construction project

  • Published:
Computing Aims and scope Submit manuscript

Abstract

For the convenience of collaborative design, virtual construction, construction process simulation and management, Building Information Modeling (BIM) is becoming an important tool in civil engineering. The current BIM team seems to neglect the geotechnical aspect of the model, which can result in costly mistakes, especially when the project is infrastructure based. The barrier between the BIM team and the geotechnical data provider is the difficulty in extracting and assimilating data from the archived geotechnical data, which is mainly in the form of geotechnical investigation reports and geological sections. Furthermore, the geotechnical data exposed from the construction can not be linked to the original data conveniently to correct the interpretated errors in the geotechnical data, and the monitoring data cannot be combined with the original geotechnical data to find the development trend of the monitoring variables. All of this indicates that current management strategy of geotechnical data should be improved upon. Therefore, a management strategy that focuses on the full life cycle management of geotechnical data together with the BIM model to improve the accuracy of decision making in the design, construction, operation and management stages of a construction project is particularly important. In this paper, we put forward a management strategy of geotechnical data that can help to integrate geotechnical information into the BIM of a construction project in order to realize the full life cycle management of geotechnical information. In this strategy, the geotechnical data from the geotechnical investigation is archived in the form of a centralized geotechnical database and an informative geotechnical model. The centralized geotechnical database is targeted to manage the factual data, base data, result data, and metadata. The informative geotechnical model can facilitate the geotechnical being used in the three-dimensional visualization environment where the collaborative design and virtual construction are accomplished. We discuss the specific workflow of building a centralized geotechnical database and an informative geotechnical model. Finally, we use the management of the geotechnical data in a hydropower station for experimental studies to verify the proposed management strategy. The result shows that it is advantageous to manage the geotechnical data in the proposed management strategy for the BIM of a construction project.

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

Access this article

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. Singh V, Gu N, Wang X (2011) A theoretical framework of a bim-based multi-disciplinary collaboration platform. Autom Constr 20(2):134–144

    Article  Google Scholar 

  2. Chandler RJ, McGregor ID, Morin GR (2012) The role of geotechnical data in building information modelling. In: Australian–New Zealand Conference on Geomechanics (ANZ 2012)

  3. Becerik-Gerber B, Jazizadeh F, Li N, Calis G (2011) Application areas and data requirements for bim-enabled facilities management. J Constr Eng Manag 138(3):431–442

    Article  Google Scholar 

  4. Lee G, Sacks R, Eastman CM (2006) Specifying parametric building object behavior (bob) for a building information modeling system. Autom Constr 15(6):758–776

    Article  Google Scholar 

  5. Xie X, Teci T (2014) Research for framework of bim-based platform on facility maintenance management on the operating stage in metro station. Appl Mech Mater 743:702

    Article  Google Scholar 

  6. Eastman CM, Jeong Y-S, Sacks R, Kaner I (2009) Exchange model and exchange object concepts for implementation of national bim standards. J Comput Civil Eng 24(1):25–34

    Article  Google Scholar 

  7. Parry S (2009) Introduction to engineering geology in geotechnical risk management. Q J Eng Geol Hydrogeol 42(4):443–444

    Article  Google Scholar 

  8. Bonsor HC, Entwisle DC, Watson S, Lawrie K, Bricker S, Campbell S, Lawrence D, Barron H, Hall I, Dochartaigh BEO (2013) Maximising past investment in subsurface data in urban areas for sustainable resource management: a pilot in glasgow, uk. technical note. Ground Eng 46(2):25–28

    Google Scholar 

  9. Khoshkbarforoushha A, Jamshidi P, Gholami MF, Wang L, Ranjan R (2016) Metrics for BPEL process reusability analysis in a workflow system. IEEE Syst J 10(1):36–45

    Article  Google Scholar 

  10. Wang Lizhe, Ke Lu, Liu Peng (2015) Compressed sensing of a remote sensing image based on the priors of the reference image. IEEE Geosci. Remote Sensing Lett. 12(4):736–740

    Article  Google Scholar 

  11. Moon S, Son J, Hong S (2015) Development of a prototype for an earthwork bim environment. J Korean Soc Civil Eng 35(3):707–714

    Article  Google Scholar 

  12. Miao Y, Wang L, Liu D, Ma Y, Zhang W, Chen L (2015) A web 2.0-based science gateway for massive remote sensing image processing. Concurr Comput Pract Exp 27(9):2489–2501

    Article  Google Scholar 

  13. Sun S, Wang L, Ranjan R, Aizhi W (2015) Semantic analysis and retrieval of spatial data based on the uncertain ontology model in digital earth. Int J Digit Earth 8(1):1–14

    Article  Google Scholar 

  14. Kessler H, Mathers S, Sobisch H-G (2009) The capture and dissemination of integrated 3d geospatial knowledge at the british geological survey using gsi3d software and methodology. Comput Geosci 35(6):1311–1321

    Article  Google Scholar 

  15. Chandler D (2011) Geotechnical data transfer and management for large construction projects and national archives. In: International symposium on advances in ground technology and geo-Information (IS-AGTG), vol 1, p 2

  16. Ranjan R, Georgakopoulos D, Wang L (2016) A note on software tools and technologies for delivering smart media-optimized big data applications in the cloud. Computing 98(1–2):1–5

    Article  MathSciNet  MATH  Google Scholar 

  17. Wang L, Geng H, Liu P, Ke L, Kolodziej Joanna, Ranjan Rajiv, Zomaya Albert Y (2015) Particle swarm optimization based dictionary learning for remote sensing big data. Knowl-Based Syst 79:43–50

    Article  Google Scholar 

  18. Michael J (2000) Factors of safety and reliability in geotechnical engineering. J Geotech Geoenviron Eng 126(4):307–316

    Article  Google Scholar 

  19. Stoter J, Vosselman G, Goos J, Zlatanova S, Verbree E, Klooster R, Reuvers M (2011) Towards a national 3d spatial data infrastructure: case of the Netherlands. Photogrammetrie-Fernerkundung-Geoinformation 2011(6):405–420

    Article  Google Scholar 

  20. Liu Z, Xilin LU, Zhang H (2010) Bim-based integrated information framework for architectural and structural design model. J Tongji Univ (Nat Sci) 7:001

    Google Scholar 

  21. Wang L, Song W, Liu P (2016) Link the remote sensing big data to the image features via wavelet transformation. Clust Comput 19(2):793–810

    Article  Google Scholar 

  22. Huang F, Liu D, Li X, Wang L, Wenbo Xu (2011) Preliminary study of a cluster-based open-source parallel GIS based on the GRASS GIS. Int J Digit Earth 4(5):402–420

    Article  Google Scholar 

  23. Wang R, Sun WX, Xiang Z (2013) Realization method of the bim-based mingqing ancient architecture model system. J Donghua Univ (Nat Sci) 4:006

    Google Scholar 

  24. Walthall S, Palmer MJ (2006) The development, implementation and future of the ags data formats for the transfer of geotechnical and geoenvironmental data by electronic means. In: ASCE conference

  25. Obergrießer M, Euringer T, Borrmann A, Rank E (2011) Integration of geotechnical design and analysis processes using a parametric and 3d-model based approach. In: Proceedings of the 2011 ASCE international workshop on computing in civil engineering. Miami, FL, USA

  26. Wang J, Zhang S, Teizer J (2015) Geotechnical and safety protective equipment planning using range point cloud data and rule checking in building information modeling. Autom Constr 49:250–261

    Article  Google Scholar 

  27. Chen J, Bulbul T, Tay;lor J, Olgun G (2014) A case study of embedding real-time infrastructure sensor data to bim. In: Construction research congress

  28. Obergriesser M, Borrmann A (2012) Infrastructural bim standards–development of an information delivery manual for the geotechnical infrastructural design and analysis process. In: ework and ebusiness in architecture. Engineering and Construction (ECPPM 2012). Gudnason & Scherer (Eds)

  29. Child P, Grice C, Chandler R (2014) The geotechnical data journey–how the way we view data is being transformed. In: Information technology in geo-engineering: proceedings of the 2nd international conference (ICITG) IOS Press, Durham

  30. El Meouche R, Rezoug M, Hijazi Ihab (2013) Integrating and managing bim in gis, software review. Int Arch Photogramm Remote Sens Spat Inf Sci 2:W2

    Google Scholar 

Download references

Acknowledgements

This work is supported by National Natural Science Foundation of China (No. 61602477), China Postdoctoral Science Foundation (No. 2016M601158), and National Key Research and Development Program of China (No. 2016YFB0200800).

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Yuzhu Wang or Yan Ma.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, J., Wu, C., Wang, Y. et al. The BIM-enabled geotechnical information management of a construction project. Computing 100, 47–63 (2018). https://doi.org/10.1007/s00607-017-0571-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00607-017-0571-8

Keywords

Mathematics Subject Classification

Navigation