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Automatic safety evaluation and visualization of subway station excavation based on BIM-FEM/FDM integrated technology

    Ping Xie Affiliation
    ; Rongjun Zhang Affiliation
    ; Junjie Zheng Affiliation
    ; Ziqian Li Affiliation

Abstract

With the progressive promotion of BIM technology in collaborative design and engineering data management, there are large amounts of project information available for intelligent construction, engineering computation and design optimization. In the construction of subway station, BIM technology is still not mature and the engineering design is generally separate from the engineering safety evaluation. Thus, this paper proposed a technology that integrates BIM and numerical simulation (BIM-FEM/FDM integrated technology) to solve the problem of separation between engineering design and computation. A three-dimensional parametric modeling of subway station excavation was first carried out using the Revit® modeling software. Afterward, a FEM/FDM-process oriented data conversion interface was developed to extract and process the critical information from the parametric BIM model for numerical simulation. Then, under the impetus of an auto-simulation interface, the safety evaluation of subway station excavation was realized automatically and visualized graphically. The research of the BIM-FEM/FDM integrated technology presented in this paper has established a supporting platform to achieve the integration of BIM-based design and safety evaluation for subway station excavation.

Keyword : deep excavation, safety, automatic evaluation, building information modeling, numerical simulation, subway station

How to Cite
Xie, P., Zhang, R., Zheng, J., & Li, Z. (2022). Automatic safety evaluation and visualization of subway station excavation based on BIM-FEM/FDM integrated technology. Journal of Civil Engineering and Management, 28(4), 320–336. https://doi.org/10.3846/jcem.2022.16727
Published in Issue
Apr 7, 2022
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This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Afsari, K., Eastman, C. M., & Castro-Lacouture, D. (2017). JavaScript Object Notation (JSON) data serialization for IFC schema in web-based BIM data exchange. Automation in Construction, 77, 24–51. https://doi.org/10.1016/j.autcon.2017.01.011

Ajayi, S. O., Oyedele, L. O., & Ilori, O. M. (2019). Changing significance of embodied energy: A comparative study of material specifications and building energy sources. Journal of Building Engineering, 23, 324–333. https://doi.org/10.1016/j.jobe.2019.02.008

Alsahly, A., Hegemann, F., König, M., & Meschke, G. (2020). Integrated BIM-to-FEM approach in mechanised tunnelling. Geomechanik Und Tunnelbau, 13(2), 212–220. https://doi.org/10.1002/geot.202000002

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. https://doi.org/10.1061/(ASCE)LM.1943-5630.0000127

Chang, C. T., Gorissen, B., & Melchior, S. (2011). Fast oriented bounding box optimization on the rotation group SO(3,ℝ). ACM Transactions on Graphics, 30(5), 1–16. https://doi.org/10.1145/2019627.2019641

Chheng, C., & Likitlersuang, S. (2018). Underground excavation behaviour in Bangkok using three-dimensional finite element method. Computers and Geotechnics, 95, 68–81. https://doi.org/10.1016/j.compgeo.2017.09.016

De Matteis, F., Orci, C., Bilosi, S., & Benedetti, G. (2019). The 3D-BIM-FEM modeling of the mairie des Lilas Paris metro station line 11 – from design to execution. In Tunnels and Underground Cities: Engineering and Innovation meet Archaeology, Architecture and Art – Proceedings of the WTC 2019 ITA-AITES World Tunnel Congress (pp. 1998–2007). CRC Press. https://doi.org/10.1201/9780429424441-211

Ding, L. Y., & Zhou, C. (2012). Development of web-based system for safety risk early warning in urban metro construction. Automation in Construction, 34, 45–55. https://doi.org/10.1016/j.autcon.2012.11.001

Do, T. N., Ou, C. Y., & Chen, R. P. (2016). A study of failure mechanisms of deep excavations in soft clay using the finite element method. Computers and Geotechnics, 73, 153–163. https://doi.org/10.1016/j.compgeo.2015.12.009

Dong, Y. P., Burd, H. J., & Houlsby, G. T. (2018). Finite element parametric study of the performance of a deep excavation. Soils and Foundations, 58(3), 729–743. https://doi.org/10.1016/j.sandf.2018.03.006

Dossick, C. S., & Neff, G. (2010). Organizational divisions in bim-enabled commercial construction. Journal of Construction Engineering and Management, 136(4), 459–467. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000109

Fabozzi, S., Biancardo, S. A., Veropalumbo, R., & Bilotta, E. (2021). I-BIM based approach for geotechnical and numerical modelling of a conventional tunnel excavation. Tunnelling and Underground Space Technology, 108, 103723. https://doi.org/10.1016/j.tust.2020.103723

Goedert, J. D., & Meadati, P. (2008). Integrating construction process documentation into building information modeling. Journal of Construction Engineering and Management, 134(7), 509–516. https://doi.org/10.1061/(ASCE)0733-9364(2008)134:7(509)

Guo, Y., Huang, X., Ma, Z., Hai, Y., Zhao, R., & Sun, K. (2021). An improved advancing-front-delaunay method for triangular mesh generation. In N. Magnenat-Thalmann, V. Interrante, D. Thalmann, G. Papagiannakis, B. Sheng, J. Kim, & M. Gavrilova (Eds.), Lecture notes in computer science: Vol. 13002. Advances in computer graphics (CGI 2021) (pp. 477–487). Springer. https://doi.org/10.1007/978-3-030-89029-2_37

Hou, Y. M., Wang, J. H., & Zhang, L. L. (2009). Finite-element modeling of a complex deep excavation in Shanghai. Acta Geotechnica, 4(1), 7–16. https://doi.org/10.1007/s11440-008-0062-3

Jeong, S., Hou, R., Lynch, J. P., Sohn, H., & Law, K. H. (2017). An information modeling framework for bridge monitoring. Advances in Engineering Software, 114, 11–31. https://doi.org/10.1016/j.advengsoft.2017.05.009

Jung, Y., & Joo, M. (2011). Building information modelling (BIM) framework for practical implementation. Automation in Construction, 20(2), 126–133. https://doi.org/10.1016/j.autcon.2010.09.010

Kirby, L., Krygiel, E., & Kim, M. (2018). Autodesk® Revit® 2018. John Wiley & Sons.

Kung, G. T. C., Juang, C. H., Hsiao, E. C. L., & Hashash Y. M. A. (2007). Simplified model for wall deflection and ground-surface settlement caused by braced excavation in clays. Journal of Geotechnical and Geoenvironmental Engineering, 133(6), 731–747. https://doi.org/10.1061/(ASCE)1090-0241(2007)133:6(731)

Lee, P. C., Zheng, L. L., Lo, T. P., & Long, D. B. (2020). A risk management system for deep excavation based on BIM-3DGIS framework and optimized Grey Verhulst model. KSCE Journal of Civil Engineering, 24(3), 715–726. https://doi.org/10.1007/s12205-020-1462-7

Li, M., Yu, H., Jin, H., & Liu, P. (2018). Methodologies of safety risk control for China’s metro construction based on BIM. Safety Science, 110, 418–426. https://doi.org/10.1016/j.ssci.2018.03.026

Liu, Y., van Nederveen, S., & Hertogh, M. (2017). Understanding effects of BIM on collaborative design and construction: An empirical study in China. International Journal of Project Management, 35(4), 686–698. https://doi.org/10.1016/j.ijproman.2016.06.007

Löhner, R., & Parikh, P. (1988). Generation of three‐dimensional unstructured grids by the advancing‐front method. International Journal for Numerical Methods in Fluids, 8(10), 1135–1149. https://doi.org/10.1002/fld.1650081003

Ma, J. (2019). BIM technology for deep foundation pit support of subway station [Dissertation]. Shijiazhuang Tiedao University, Shijiazhuang, China.

McHenry, K., & Bajcsy, P. (2008). An overview of 3D data content, file formats and viewers (Technical Report isda08-002). Image Spatial Data Analysis Group, National Center for Supercomputing Applications. http://isda.ncsa.illinois.edu/peter/publications/techreports/2008/NCSA-ISDA-2008-002.pdf

Ninić, J., Koch, C., Vonthron, A., Tizani, W., & König, M. (2020). Integrated parametric multi-level information and numerical modelling of mechanised tunnelling projects. Advanced Engineering Informatics, 43, 101011. https://doi.org/10.1016/j.aei.2019.101011

Ninić, J., Alsahly, A., Vonthron, A., Bui, H. G., Koch, C., König, M., & Meschke, G. (2021). From digital models to numerical analysis for mechanised tunnelling: A fully automated design-through-analysis workflow. Tunnelling and Underground Space Technology, 107, 103622. https://doi.org/10.1016/j.tust.2020.103622

Pakbaz, M. S., Imanzadeh, S., & Bagherinia, K. H. (2013). Characteristics of diaphragm wall lateral deformations and ground surface settlements: Case study in Iran-Ahwaz metro. Tunnelling and Underground Space Technology, 35, 109–121. https://doi.org/10.1016/j.tust.2012.12.008

Pezeshki, Z., & Ivari, S. A. S. (2018). Applications of BIM: A brief review and future outline. Archives of Computational Methods in Engineering, 25(2), 273–312. https://doi.org/10.1007/s11831-016-9204-1

Porwal, A., & Hewage, K. N. (2013). Building Information Modeling (BIM) partnering framework for public construction projects. Automation in Construction, 31, 204–214. https://doi.org/10.1016/j.autcon.2012.12.004

Qian, Q., & Lin, P. (2016). Safety risk management of underground engineering in China: Progress, challenges and strategies. Journal of Rock Mechanics and Geotechnical Engineering, 8(4), 423–442. https://doi.org/10.1016/j.jrmge.2016.04.001

Ren, X., Fan, W., Li, J., & Chen, J. (2019). Building Information Model–based finite element analysis of high-rise building community subjected to extreme earthquakes. Advances in Structural Engineering, 22(4), 971–981. https://doi.org/10.1177/1369433218780484

Schanz, T., Vermeer, P. A., & Bonnier, P. G. (1999). The hardening soil model: Formulation and verification. In Beyond 2000 in computational geotechnics (pp. 281–296). Taylor & Francis Group. https://doi.org/10.1201/9781315138206-27

Schöberl, J. (1997). An advancing front 2D/3D-mesh generator based on abstract rules. Computing and Visualization in Science, 1(1), 41–52. https://doi.org/10.1007/s007910050004

Sharafat, A., Khan, M. S., Latif, K., & Seo, J. (2021). 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. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000955

Tang, F., Ma, T., Guan, Y., & Zhang, Z. (2020). Parametric modeling and structure verification of asphalt pavement based on BIM-ABAQUS. Automation in Construction, 111, 103066. https://doi.org/10.1016/j.autcon.2019.103066

Wang, W., Fan, H., & Xi, G. (2018). An extension of advancing front technique on new target surface after virtual topology operations. Advances in Engineering Software, 124, 42–52. https://doi.org/10.1016/j.advengsoft.2018.08.009

Wu, J., Chen, J., & Chen, G. (2018). Research on BIM-based subway foundation pit engineering simulation method. In D. Huang, H. Xu, H. Yu, & H. Zhang (Eds.), Conference Proceedings of the 6th International Symposium on Project Management (ISPM 2018) (pp. 338–345). Aussino Acad Publishing House.

Xu, W., Liu, B., Fu, C., Han, Y., & Ren, X. (2019). Risk management for Beijing subway tunnel construction using the New Austrian tunneling method: A case study. In International Conference on Transportation and Development 2019: Smarter and Safer Mobility and Cities – Selected Papers from the International Conference on Transportation and Development 2019 (pp. 423–435). https://doi.org/10.1061/9780784482575.040

Xue, X., Zhang, R., Zhang, X., Yang, R. J., & Li, H. (2015). Environmental and social challenges for urban subway construction: An empirical study in China. International Journal of Project Management, 33(3), 576–588. https://doi.org/10.1016/j.ijproman.2014.09.003

Yan, W., Culp, C., & Graf, R. (2011). Integrating BIM and gaming for real-time interactive architectural visualization. Automation in Construction, 20(4), 446–458. https://doi.org/10.1016/j.autcon.2010.11.013

Yao, X. (2018). Uncertainty analysis of mechanical behavior of deep excavations in soft soil area based on BIM technology and engineering computation [Dissertation]. Huazhong University of Science and Technology, Wuhan, China.

Ying, H.-W., Cheng, K., Zhang, L.-S., Ou, C.-Y., & Yang, Y.-W. (2020). Evaluation of excavation-induced movements through case histories in Hangzhou. Engineering Computations, 37(6), 1993–2016. https://doi.org/10.1108/EC-06-2019-0256

Zhu, C., Yan, Z., Lin, Y., Xiong, F., & Tao, Z. (2019). Design and application of a monitoring system for a deep railway foundation pit project. IEEE Access, 7, 107591–107601. https://doi.org/10.1109/ACCESS.2019.2932113

Zienkiewicz, O., Taylor, R., & Zhu, J. Z. (2013). The finite element method: its basis and fundamentals (7th ed.). Elsevier. https://doi.org/10.1016/C2009-0-24909-9