CrossRef Open Access 2024 1 sitasi

Theoretical Optimization Method of Tunnel Lining in Fractured Rock Mass Based on Rock Classification and Hoek–Brown Criterion

Caihua Shen Zhikang Zeng Jun Zhu

Abstrak

Considering the effect of surrounding rock on lining in the design of tunnel lining within fractured rock masses is challenging, particularly in accurately predicting the reserved deformation of the tunnel. This study bases a rock mass classification method and the established Hoek–Brown (H-B) strength criterion to assess the deformation characteristics of the surrounding rock. It establishes a more scientifically rigorous theoretical calculation method for the reserved deformation of tunnel linings that accounts for the rock–lining interaction. An optimization design approach for the lining structure, based on the synergistic effect and considering the stress safety of the concrete lining and the rock’s displacement release rate, is proposed. Case analysis is utilized to validate the safety of the lining design in the study section through computational verification. The recommended optimized lining parameters are identified: the support time is initiated when the tunnel wall’s surrounding rock deforms by 9 mm, and the lining thickness is optimized to 47 cm, which is approximately 36.5% less than the pre-optimization thickness. This precise optimization of support timing and lining thickness enhances both the safety and economic efficiency of the Wufengshan Tunnel. The method allows for the calculation of the optimal combination of support time and lining thickness tailored to different surrounding rock conditions, offering significant reference value for tunnel lining optimization.

Penulis (3)

C

Caihua Shen

Z

Zhikang Zeng

J

Jun Zhu

Format Sitasi

Shen, C., Zeng, Z., Zhu, J. (2024). Theoretical Optimization Method of Tunnel Lining in Fractured Rock Mass Based on Rock Classification and Hoek–Brown Criterion. https://doi.org/10.3390/app142210227

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Informasi Jurnal
Tahun Terbit
2024
Bahasa
en
Total Sitasi
Sumber Database
CrossRef
DOI
10.3390/app142210227
Akses
Open Access ✓