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岩石非定常Cvisc蠕变模型及其参数反演方法

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岩石蠕变在应力的长期作用下可能会有衰减蠕变、稳态蠕变、加速蠕变3个阶段,FLAC 3D软件中的Cvisc模型可以较好地模拟岩石在衰减蠕变和稳态蠕变阶段的表现,但在描述加速蠕变阶段时存在明显不足.鉴于此,通过调整Cvisc模型的黏滞系数对其进行非定常化处理,使其具备描述岩石加速蠕变特性的能力,并推导相应的三维蠕变方程.同时,为了获取非定常Cvisc模型的围岩蠕变参数,利用BP-PSO算法建立蠕变参数反演神经网络模型,根据现场隧道拱顶沉降监测数据验证该算法的合理性,并对非定常Cvisc模型与原Cvisc模型在预测拱顶沉降时的表现进行对比分析.结果显示,非定常Cvisc模型对岩石加速蠕变阶段的拟合效果显著优于原Cvisc模型,能够更精确地描述岩石包括加速蠕变阶段在内的整个蠕变过程.
Non-Steady Cvisc Creep Model for Rock and Its Parameter Inversion Method
Rock creep under long-term stress may exhibit three stages:decay creep,steady-state creep,and accelerated creep.The Cvisc model in FLAC 3D software can effectively simulate the decay and steady-state creep stages of rocks but shows significant limitations in describing the accelerated creep stage.To address this,the viscosity coeffi-cient of the Cvisc model was modified to create a non-steady version capable of capturing the characteristics of ac-celerated creep.A corresponding three-dimensional creep equation was derived.To obtain the creep parameters of the non-steady Cvisc model for surrounding rock,a BP-PSO algorithm-based neural network inversion model was established.This algorithm was validated using monitored vault settlement data from field tunnels.A comparative analysis of the vault settlement prediction performance of the non-steady Cvisc model and the original Cvisc model was conducted.The results demonstrate that the non-steady Cvisc model significantly outperforms the original model in fitting the accelerated creep stage,enabling a more accurate description of the entire creep process,including the accelerated stage.

Rock mechanicsNon-steady Cvisc modelThree-dimensional creep equationTime-dependent damageParameter inversion

王岩岩、申玉生、常铭宇、潘笑海、张昕阳、滕孔先

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西南交通大学交通隧道工程教育部重点实验室,成都 610031

西南交通大学陆地交通地质灾害防治技术国家工程研究中心,成都 610031

国家石油天然气管网集团有限公司工程技术创新公司,天津 300450

岩石力学 非定常Cvisc模型 三维蠕变方程 时效损伤 参数反演

2024

现代隧道技术
中铁西南科学研究院有限公司 中国土木工程学会隧道及地下工程分会

现代隧道技术

CSTPCD北大核心
影响因子:1.493
ISSN:1009-6582
年,卷(期):2024.61(6)