EVALUATION OF SEGMENT UPLIFT RISK DURING SHIELD TUNNELLING BASED ON CLOUD MODEL

АУТОР(И) / AUTHOR(S): Haoze Wu, Shuilong Shen, Annan Zhou

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DOI:  10.46793/ACUUS2025.2.7.146

САЖЕТАК / ABSTRACT:

Tunnel segment uplift during shield tunneling involves dynamic and uncertain factors, posing significant challenges to accurate risk evaluation. Conventional static assessment methods typically overlook the changing importance of influencing factors as tunnelling progresses. To address this issue, this paper proposes a novel dynamic risk assessment framework combining entropy-based constant weight determination, variable weight theory, and cloud model analysis. Initially, a comprehensive risk evaluation index system is established, encompassing geological, construction, design, material, and management factors. Subsequently, the entropy weight method is employed to objectively determine constant weights, highlighting the inherent variability among factors based on measured data. These constant weights are dynamically adjusted using variable weight theory, thereby capturing real-time changes during tunnel construction. Furthermore, cloud model theory is utilized to quantify uncertainties and translate quantitative assessment data into probabilistic risk levels. A case study from the Guangzhou-Foshan metro line demonstrates that the proposed method yields more accurate and adaptive risk predictions compared to traditional static methods, effectively supporting safer decision-making in shield tunnelling operations.

КЉУЧНЕ РЕЧИ / KEYWORDS:

Shield tunnel, lining uplift, risk evaluation, cloud model

ПРОЈЕКАТ / ACKNOWLEDGEMENT:

The research work was funded by Guangdong Province and Guangdong Provincial Basic and Applied Basic Research Fund Committee (2022A1515240073).

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