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Dynamic Inversion for the Mechanical Parameters of Tunnel Surrounding Rock Based on UBPSO Algorithm
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Lin Luo1, Pengfei Li2, Zhenhua Xing2, Qian Zhou1, Hu Yang3
Chinese Journal of Underground Space and Engineering | 2026, 22(2) : 437 - 447
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Chinese Journal of Underground Space and Engineering | 2026, 22(2): 437-447
Dynamic Inversion for the Mechanical Parameters of Tunnel Surrounding Rock Based on UBPSO Algorithm
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Lin Luo1, Pengfei Li2, Zhenhua Xing2, Qian Zhou1, Hu Yang3
Affiliations
  • 1.College of Civil Engineering, Chongqing Jiaotong University, Chongqing 400047, P. R. China
  • 2.China Construction Third Engineering Bureau Group Co., Ltd., Wuhan 430000, P. R. China
  • 3.China State Construction Railway Investment & Engineering Group Co., Ltd., Beijing 100053, P. R. China
Published: 2026-04-20 doi: 10.20174/j.JUSE.2026.02.06
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With the excavation of tunnels, the surrounding rock is disturbed and damaged, resulting in changes in its geotechnical parameters. To obtain dynamic variation laws of geotechnical parameters accurately, an inversion method for mechanical parameters of tunnel surrounding rock based on updated boundaries particle swarm optimization (UBPSO) algorithm is proposed. Due to the large fluctuation of optimization results with the particle swarm algorithm, an updated boundaries particle swarm algorithm is proposed. By updating the upper and lower limits of search boundaries dynamically, performing reversal and mutation operations on individual historical optimal values, and updating inertia weights adaptively, the updated boundaries particle swarm algorithm achieves high-precision and fast optimization. The stability test of the Ackley function indicates that compared to the particle swarm optimization algorithm, the updated boundaries particle swarm algorithm has the following advantages, fast optimization speed, high accuracy of results, small fluctuation of outcomes, and less sensitivity to getting stuck in local optima. Based on the updated boundaries particle swarm optimization algorithm, a reverse analysis model for mechanical parameters of tunnel surrounding rock using MATLAB-PYTHON-ABAQUS and on-site monitoring data is established. Taking the YK76+470 to YK76+502.5 section of the Tongluoshan tunnel as an example, the model was used to analyze the on-site monitoring data of the tunnel arch settlement. It was found that the elastic modulus of the colluvial soil layer decreased from 0.200 GPa to 0.106 GPa, the internal friction angle dropped from 14° to 12.072°, and the cohesion value fell from 22 kPa to 19.373 kPa.

tunnel engineering  /  updated boundaries particle swarm optimization algorithm  /  geotechnical parameters  /  dynamic inversion  /  inversion analysis model
Lin Luo, Pengfei Li, Zhenhua Xing, Qian Zhou, Hu Yang. Dynamic Inversion for the Mechanical Parameters of Tunnel Surrounding Rock Based on UBPSO Algorithm[J]. Chinese Journal of Underground Space and Engineering, 2026 , 22 (2) : 437 -447 . DOI: 10.20174/j.JUSE.2026.02.06
Year 2026 volume 22 Issue 2
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doi: 10.20174/j.JUSE.2026.02.06
  • Receive Date:2025-05-22
  • Online Date:2026-06-17
  • Published:2026-04-20
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  • Received:2025-05-22
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Affiliations
    1.College of Civil Engineering, Chongqing Jiaotong University, Chongqing 400047, P. R. China
    2.China Construction Third Engineering Bureau Group Co., Ltd., Wuhan 430000, P. R. China
    3.China State Construction Railway Investment & Engineering Group Co., Ltd., Beijing 100053, P. R. China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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