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基于地层变异性的大直径盾构隧道鲁棒性设计

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大直径盾构隧道面临着复杂地层带来的挑战,传统的设计方法往往选择钻孔揭示的最不利地层断面或者采用平均化的地层,无法准确反映掘进面临的真实地层情况.因此,利用现有钻孔勘察信息建立耦合马尔可夫链模型,确定盾构掘进过程中最可能穿越的典型地层断面.采用不同设计参数展开数值模拟,以盾构隧道收敛变形相关指标的标准差作为鲁棒性指标,提出了一种基于地层变异性的大直径盾构隧道鲁棒性设计方法.研究结果表明,耦合马尔可夫链模型的最典型断面为盾构隧道提供了更准确的地层条件,使得鲁棒性设计更具适用性.最后,对现阶段常用的地层设计方法进行了优化,确保掘进过程中地层选择更接近实际情况,在有效降低隧道建设成本的同时,使得隧道具备更好的鲁棒性.
Robust Design of a Large Diameter Shield Tunnel Based on Stratigraphic Variability
The design of large-diameter shield tunnels is challenging due to the complex stratigraphy.Conventional design methods relied on borehole data to identify favorable stratigraphic sections or averaged stratigraphy.However,these methods failed to depict accurately during the tunnel excavation.To address the issue,this study first proposes a new approach by constructing a coupled Markov chain model using existing borehole data to determine the most possibly crossed dominant strata during shield tunneling.Subsequently,numerical simulations with various design parameters are conducted,the standard deviation related to convergence deformation of large-diameter shield tunnels is used as the robustness index,and a robust design of large-diameter shield tunnels based on stratigraphic variability.Study results show that the dominant strata of the coupled Markov chain model provide a more precise assessment of stratigraphy for shield tunnels.Moreover,the robust design based on the refined stratigraphic condition is more suitable for practical implementation.The commonly used strata design approaches at present are optimized to guarantee that the strata chosen are close to the actual situation during tunneling,which can effectively reduce the tunnel construction cost and enable the tunnel to have better robustness.

stratigraphic variabilitygeotechnical parameter variabilitycoupled Markov chain modelrobustness

张冬梅、李海云、黄忠凯、谭飞、朱美恒、杨光、高俊华

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同济大学 地下建筑与工程系,上海 200092

同济大学 岩土及地下工程教育部重点实验室,上海 200092

中国地质大学(武汉)工程学院,湖北 武汉 430074

中交隧道工程局有限公司 上海机场联络线项目部,江苏 南京 211106

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地层变异性 岩土参数变异性 耦合马尔可夫链模型 鲁棒性

2024

湖南大学学报(自然科学版)
湖南大学

湖南大学学报(自然科学版)

CSTPCD北大核心
影响因子:0.651
ISSN:1674-2974
年,卷(期):2024.51(9)