Technical Papers
Jan 19, 2024

Employing an Interpretive Structural Modeling–System Dynamics Approach for Deep Foundation Pit Risk Assessment Model

Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 10, Issue 2

Abstract

Deep foundation construction is characterized by significant unpredictability and growing uncertainty, which creates dynamic risks. Given that deep foundation construction is vulnerable to extreme weather conditions and intense human activity, the assessment of its hazards is of utmost relevance for construction safety management. To do so, this research used a powerful interpretive structural model (ISM) as a foundational framework to analyze the safety risk factors in deep foundation pits; the study also revealed the dynamic properties of the system by utilizing the special benefits of system dynamics (SD), which enabled a deeper comprehension of the system’s complex behavior over time. To aid in successful risk assessment, a novel risk causal feedback diagram model that is adept at navigating the system’s complexity and temporal fluctuations was established. The suggested model combines the advantages of SD and ISM to produce a solid and trustworthy framework for thoroughly evaluating hazards in deep foundation projects. Its all-encompassing methodology provides a more thorough and precise investigation, giving building experts useful information to strengthen safety measures. This study conducts a case simulation experiment on a resettlement housing project in Tong’an District, Xiamen City, to show the model’s applicability. Additionally, this research suggests matching risk control strategies and develops plans to maximize risk management and raise the deep foundation pit’s level of safety.

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Data Availability Statement

All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

References

Badakhshan, N., K. Shahriar, S. Afraei, and E. Bakhtavar. 2023. “Determining the environmental costs of mining projects: A comprehensive quantitative assessment.” Resour. Policy 82 (May): 103561. https://doi.org/10.1016/j.resourpol.2023.103561.
Brown, E. T. 2012. “Risk assessment and management in underground rock engineering—An overview.” J. Rock Mech. Geotech. Eng. 4 (3): 193–204. https://doi.org/10.3724/SP.J.1235.2012.00193.
Cai, Y., J. Cai, L. Xu, Q. Tan, and Q. Xu. 2019. “Integrated risk analysis of water-energy nexus systems based on systems dynamics, orthogonal design and copula analysis.” Renewable Sustainable Energy Rev. 99 (Jan): 125–137. https://doi.org/10.1016/j.rser.2018.10.001.
Chen, D., J. Zhou, P. Duan, and J. Zhang. 2023. “Integrating knowledge management and BIM for safety risk identification of deep foundation pit construction.” Eng. Constr. Archit. Manage. 30 (8): 3242–3258. https://doi.org/10.1108/ECAM-10-2021-0934.
Chen, F., H. Wang, G. Xu, H. Ji, S. Ding, and Y. Wei. 2020. “Data-driven safety enhancing strategies for risk networks in construction engineering.” Reliab. Eng. Syst. Saf. 197 (May): 106806. https://doi.org/10.1016/j.ress.2020.106806.
Forrester, J. W. 1958. “Industrial dynamics—A major breakthrough for decision makers.” Harv. Bus. Rev. 36 (4): 37–66.
Gonzalez-Navarro, M., and M. A. Turner. 2018. “Subways and urban growth: Evidence from earth.” J. Urban Econ. 108 (Nov): 85–106. https://doi.org/10.1016/j.jue.2018.09.002.
Jiang, J., G. Liu, and X. Ou. 2022. “Risk coupling analysis of deep foundation pits adjacent to existing underpass tunnels based on dynamic Bayesian network and N–K model.” Appl. Sci. 12 (20): 10467. https://doi.org/10.3390/app122010467.
Kaushik, M., and M. Kumar. 2023. “An integrated approach of intuitionistic fuzzy fault tree and Bayesian network analysis applicable to risk analysis of ship mooring operations.” Ocean Eng. 269 (Feb): 113411. https://doi.org/10.1016/J.OCEANENG.2022.113411.
Khakzad, N., F. Khan, and N. Paltrinieri. 2014. “On the application of near accident data to risk analysis of major accidents.” Reliab. Eng. Syst. Saf. 126 (Jun): 116–125. https://doi.org/10.1016/j.ress.2014.01.015.
Lin, D., J. D. Nelson, and J. Cui. 2021. “Exploring influencing factors on metro development in China from urban and economic perspectives.” Tunnelling Underground Space Technol. 112 (Jun): 103877. https://doi.org/10.1016/j.tust.2021.103877.
Liu, S.-C., F.-L. Peng, Y.-K. Qiao, and J.-B. Zhang. 2021. “Evaluating disaster prevention benefits of underground space from the perspective of urban resilience.” Int. J. Disaster Risk Reduct. 58 (May): 102206. https://doi.org/10.1016/j.ijdrr.2021.102206.
Mahdevari, S., H. Shirzad Haghighat, and S. R. Torabi. 2013. “A dynamically approach based on SVM algorithm for prediction of tunnel convergence during excavation.” Tunnelling Underground Space Technol. 38 (Sep): 59–68. https://doi.org/10.1016/j.tust.2013.05.002.
Meng, G. W., J. S. Huang, B. Wu, Y. P. Zhu, S. X. Xu, and J. H. Hao. 2020. “Risk assessment of deep foundation pit construction based on analytic hierarchy process and fuzzy mathematics.” Adv. Civ. Eng. 2020: 8840043. https://doi.org/10.1155/2020/8840043.
Onososen, A., I. Musonda, and M. M. Tjebane. 2022. “Drivers of BIM-based life cycle sustainability assessment of buildings: An interpretive structural modelling approach.” Sustainability 14 (17): 11052. https://doi.org/10.3390/su141711052.
Park, J., and J. S. Jeong. 2021. “An estimation of ship collision risk based on relevance vector machine.” J. Mar. Sci. Eng. 9 (5): 538. https://doi.org/10.3390/jmse9050538.
Pei, L., C. Chen, K. He, and X. Lu. 2022. “System reliability of a gravity dam-foundation system using Bayesian networks.” Reliab. Eng. Syst. Saf. 218 (Feb): 108178. https://doi.org/10.1016/j.ress.2021.108178.
Saber, M., T. Boulmaiz, M. Guermoui, K. I. Abdrabo, S. A. Kantoush, T. Sumi, and E. Mabrouk. 2023. “Enhancing flood risk assessment through integration of ensemble learning approaches and physical-based hydrological modeling.” Geomatics Nat. Hazards Risk 14 (1): 2203798. https://doi.org/10.1080/19475705.2023.2203798.
Sun, S., S. Yan, X. Cao, and X. Li. 2022. “Deformation characteristics of the foundation pit of the underpass viaduct and grey relational analysis of the maximum horizontal deflection of the retaining wall.” Math. Probl. Eng. 2022: 1543698. https://doi.org/10.1155/2022/1543698.
Tuncel, A. L., E. B. Besikci, E. Akyuz, and O. Arslan. 2023. “Safety analysis of fire and explosion (F&E) accidents risk in bulk carrier ships under fuzzy fault tree approach.” Saf. Sci. 158 (Feb): 105972. https://doi.org/10.1016/j.ssci.2022.105972.
Walls, L., M. Revie, and T. Bedford. 2016. “Qualitative versus quantitative risk assessment.” In Proc., Risk, Reliability and Safety: Innovating Theory and Practice. London: CRC Press. https://doi.org/10.1201/9781315374987.
Wei, D., D. Xu, and Y. Zhang. 2020. “A fuzzy evidential reasoning-based approach for risk assessment of deep foundation pit.” Tunnelling Underground Space Technol. 97 (Mar): 103232. https://doi.org/10.1016/j.tust.2019.103232.
Wu, H., and J. Wang. 2020. “Assessment of waterlogging risk in the deep foundation pit projects based on projection pursuit model.” Adv. Civ. Eng. 2020 (May): 1–11. https://doi.org/10.1155/2020/2569531.
Wu, W.-S., C.-F. Yang, J.-C. Chang, P.-A. Château, and Y.-C. Chang. 2015. “Risk assessment by integrating interpretive structural modeling and Bayesian network, case of offshore pipeline project.” Reliab. Eng. Syst. Saf. 142 (Oct): 515–524. https://doi.org/10.1016/j.ress.2015.06.013.
Xu, J., F. Jiang, Z. Xie, and G. Wang. 2023. “Risk assessment method for the safe operation of long-distance pipeline stations in high-consequence areas based on fault tree construction: Case study of China–Myanmar natural gas pipeline branch station.” ASCE-ASME J. Risk Uncertainty Eng. Syst. Part A: Civ. Eng. 9 (1): 05022003. https://doi.org/10.1061/AJRUA6.RUENG-960.
Yu, K., Q. Cao, C. Xie, N. Qu, and L. Zhou. 2019. “Analysis of intervention strategies for coal miners’ unsafe behaviors based on analytic network process and system dynamics.” Saf. Sci. 118 (Oct): 145–157. https://doi.org/10.1016/j.ssci.2019.05.002.
Yu, W., T. Zhang, Y. Lu, F. Han, Y. Zhou, and D. Hu. 2020. “Engineering risk analysis in cold regions: State of the art and perspectives.” Cold Reg. Sci. Technol. 171 (Mar): 102963. https://doi.org/10.1016/j.coldregions.2019.102963.
Yuan, M., C. Yuan, F. Chen, L. Li, Y. Hong, G. Yu, and J. Lei. 2022. “BIM digital shadow technology and risk assessment method of the deep foundation pit’s behavior for Zibo light rail.” Front. Earth Sci. 10 (Jun): 908032. https://doi.org/10.3389/feart.2022.908032.
Zarghami, S. A., and J. Dumrak. 2021. “A system dynamics model for social vulnerability to natural disasters: Disaster risk assessment of an Australian city.” Int. J. Disaster Risk Reduct. 60 (Jun): 102258. https://doi.org/10.1016/j.ijdrr.2021.102258.
Zhang, G., C. Wang, Y. Jiao, H. Wang, W. Qin, W. Chen, and G. Zhong. 2020. “Collapse risk analysis of deep foundation pits in metro stations using a fuzzy Bayesian network and a fuzzy AHP.” Math. Probl. Eng. 2020 (Apr): 1–18. https://doi.org/10.1155/2020/4214379.
Zhang, M., X. Wang, M. S. Mannan, C. Qian, and J. Wang. 2017. “A system dynamics model for risk perception of lay people in communication regarding risk of chemical incident.” J. Loss Prev. Process Ind. 50 (Nov): 101–111. https://doi.org/10.1016/j.jlp.2017.09.005.
Zhang, W., Z. Huang, J. B. Zhang, R. F. Zhang, and S. K. Ma. 2022. “Multifactor uncertainty analysis of construction risk for deep foundation pits.” Appl. Sci. 12 (16): 8122. https://doi.org/10.3390/app12168122.
Zhao, Y., and S. Tian. 2021. “Hazard identification and early warning system based on stochastic forest algorithm in underground coal mine.” J. Intell. Fuzzy Syst. 41 (1): 1193–1202. https://doi.org/10.3233/JIFS-210105.
Zhong, Y. 2018. “Technical innovation for Sanyang Road cross-river tunnel project.” Front. Eng. Manage. 5 (3): 411–415. https://doi.org/10.15302/j-fem-2018206.
Zhou, Y., W. Su, L. Ding, H. Luo, and P. E. D. Love. 2017. “Predicting safety risks in deep foundation pits in subway infrastructure projects: Support vector machine approach.” J. Comput. Civ. Eng. 31 (5): 04017052. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000700.
Zhu, Y., J. Zhou, B. Zhang, H. Wang, and M. Huang. 2022. “Statistical analysis of major tunnel construction accidents in China from 2010 to 2020.” Tunnelling Underground Space Technol. 124 (Jun): 104460. https://doi.org/10.1016/J.TUST.2022.104460.

Information & Authors

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Published In

Go to ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 10Issue 2June 2024

History

Received: Jul 21, 2023
Accepted: Oct 29, 2023
Published online: Jan 19, 2024
Published in print: Jun 1, 2024
Discussion open until: Jun 19, 2024

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Authors

Affiliations

Liping Huang [email protected]
Graduate Student, Higher-Educational Engineering Research Centre for Intelligence and Automation in Construction of Fujian Province, College of Civil Engineering, Huaqiao Univ., Xiamen 361021, China. Email: [email protected]
Distinguished Professor and Head, Higher-Educational Engineering Research Centre for Intelligence and Automation in Construction of Fujian Province, College of Civil Engineering, Huaqiao Univ., Xiamen 361021, China (corresponding author). Email: [email protected]
Graduate Student, Higher-Educational Engineering Research Centre for Intelligence and Automation in Construction of Fujian Province, College of Civil Engineering, Huaqiao Univ., Xiamen 361021, China. Email: [email protected]
Haimin Zhou [email protected]
Senior Engineer, Eighth Engineering Bureau of China City Investment Group Co., Ltd., 1302 Chuangye Bldg., Jimei Ave., Jimei District, Xiamen 361021, China. Email: [email protected]
Senior Engineer, Fujian Baichuan Construction Technology Co., Ltd., No. 617, Sishui Rd., Huli District, Xiamen 361000, China. Email: [email protected]
Changtai Li [email protected]
Senior Engineer, Haoqi (Xiamen) Construction Technology Co., Ltd., No. 899, Haicang Ave., Haicang District, Xiamen 361026, China. Email: [email protected]

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