考虑近断层脉冲与地形效应的山岭隧道地震响应跨尺度模拟分析

刘佳乔, 刘中宪, 孟思博

刘佳乔,刘中宪,孟思博. 2025. 考虑近断层脉冲与地形效应的山岭隧道地震响应跨尺度模拟分析. 地震学报,47(0):1−16. DOI: 10.11939/jass.20250011
引用本文: 刘佳乔,刘中宪,孟思博. 2025. 考虑近断层脉冲与地形效应的山岭隧道地震响应跨尺度模拟分析. 地震学报,47(0):1−16. DOI: 10.11939/jass.20250011
Liu J Q,Liu Z X,Meng S B. 2025. Multiscale simulation analysis of seismic response of mountain tunnels considering near-fault pulses and topographic effects. Acta Seismologica Sinica47(0):1−16. DOI: 10.11939/jass.20250011
Citation: Liu J Q,Liu Z X,Meng S B. 2025. Multiscale simulation analysis of seismic response of mountain tunnels considering near-fault pulses and topographic effects. Acta Seismologica Sinica47(0):1−16. DOI: 10.11939/jass.20250011

考虑近断层脉冲与地形效应的山岭隧道地震响应跨尺度模拟分析

基金项目: 国家自然科学基金项目(2278516和 52208497)
详细信息
    通讯作者:

    刘中宪,男,1982年生,博士,博士后,教授,主要从事地震工程、工程防护等方面的研究。e-mail:zhongxian1212@163.com

  • 中图分类号: P315.9

Multiscale simulation analysis of seismic response of mountain tunnels considering near-fault pulses and topographic effects

  • 摘要:

    针对近断层山岭隧道地震响应,基于一种间接边界元-有限元耦合(IBEM-FEM)方法,实现了千米尺度复杂场地放大效应到厘米尺度隧道截面动态损伤的跨尺度高效分析和规律揭示。采用基于等效脉冲模型的合成方法获取具有不同脉冲特性的近断层地震动,验证了地震动合成方法和结构响应耦合模拟方法的有效性和准确性;开展精细化数值模拟研究,重点分析了近断层脉冲型地震动的速度脉冲特性和脉冲参数对地形效应下山岭隧道地震响应的影响规律。结果表明:隧道衬砌结构的损伤程度随着脉冲幅值的增加而增大,相比于方向性效应,滑冲效应对脉冲幅值的变化更为敏感,在斜入射和高幅值脉冲下会引发更严重的结构破坏;隧道结构的损伤程度随着脉冲周期的增加而减小,方向性效应对脉冲周期变化更为敏感;在脉冲斜入射条件下,隧道结构损伤程度随着脉冲个数增加而增大。

    Abstract:

    Mountain tunnels in western China are mostly located in regions with high seismic intensity and complex geological and topographic conditions, where active faults are densely distributed. Many tunnels are constructed in near-fault strong earthquake zones. For example, in the ongoing construction of the Sichuan-Tibet Railway, tunnels account for as much as 70% of the total route, and 54 active faults are distributed along and near the alignment. Numerous seismic investigations have shown that near-fault ground motions have a significant destructive impact on tunnel structures. Notable cases include the 1999 Chi-Chi earthquake in Taiwan, the 2008 Wenchuan earthquake in Sichuan, the 2016 Kumamoto earthquake in Japan, and the 2022 Menyuan earthquake in Qinghai, all of which resulted in severe tunnel damage.

    The long-period velocity pulses commonly present in near-fault ground motions are considered key factors contributing to structural damage. However, due to the limited availability of strong earthquake observation records, especially near engineered structures, near-fault pulse-type ground motion records remain scarce. As a result, many existing studies have relied on synthetic ground motion methods to generate seismic time histories for analysis. Currently, research on the seismic response of mountain tunnels under near-fault pulse-type ground motions remains limited, particularly concerning the mechanisms through which pulse characteristics influence tunnel seismic responses, which are still not well understood.

    On the other hand, topographic amplification effects induced by mountain terrain also significantly affect tunnel seismic responses. Studies have shown that mountain topography can amplify peak ground velocity (PGV) due to multiple reflections of seismic waves on the surface, leading to localized wave focusing effects and significant spatial variability within the mountain. However, most existing studies on mountain tunnel seismic responses commonly adopt full-space or half-space site models, neglecting topographic effects. Additionally, variations in the incident wave angle can alter the propagation path and energy distribution of seismic waves, further increasing the spatial variability of seismic damage.

    This study comprehensively considers the coupled effects of near-fault ground motion characteristics and topographic amplification and proposes a systematic research framework. First, artificial synthesis techniques are employed to generate near-fault pulse-type ground motions. The high-frequency components of two representative recorded ground motions serve as the basis, while the low-frequency components are fitted using an equivalent pulse model. By adjusting pulse parameters, ground motions with different spectral characteristics are synthesized. Second, based on an indirect boundary element method-finite element method(IBEM-FEM)coupled method, a cross-scale efficient analysis was achieved, bridging the amplification effects in kilometer-scale complex sites to the dynamic damage of tunnel cross-sections at the centimeter scale, thereby revealing underlying seismic response patterns. Finally, taking pulse amplitude, pulse period, and pulse number as key parameters, the influence of near-fault pulse-type ground motions with different incident angles on tunnel seismic responses is examined, revealing the damage and failure patterns of tunnel linings.

    The results indicate that tunnel lining damage severity increases with pulse amplitude. Compared with directivity effects, fling-step effects are more sensitive to changes in pulse amplitude, and oblique incidence combined with high-amplitude pulses can cause more severe structural damage. Tunnel damage severity decreases as pulse period increases, with directivity effects being more sensitive to pulse period variations. Under oblique incidence conditions, tunnel structural damage severity increases with the number of pulses.

    For seismic design of mountain tunnels in near-fault regions, the combined impact of near-fault pulse effects and topographic amplification should be carefully considered, and tunnel seismic strategies should be optimized. Firstly, the locations of seismic wave focusing and amplification within the mountain should be identified and avoided to reduce the adverse effects of localized seismic motion amplification on tunnel structures. Secondly, for high-amplitude pulse effects, it is recommended to strengthen the seismic design of tunnel linings, particularly in areas where fling-step effects are prominent, to mitigate the damage caused by extreme ground motions. Additionally, during the design process, the influence of seismic wave incidence angle should be fully considered, and reinforcement measures for tunnel linings should be implemented accordingly to enhance tunnel seismic performance under complex wave propagation conditions.

  • 图  1   计算模型示意图

    (a) 数值模型;(b) 隧道模型详图 (单位:cm)

    Figure  1.   Schematic diagram of calculation model

    (a) Numerical model;(b) Tunnel model detail (unit:cm)

    图  2   IBEM-FEM耦合方法求解示意图

    Figure  2.   Schematic diagram of solving IBEM-FEM coupled method

    图  3   图3 IBEM与DBEM计算的斜入射SV波作用下(α=30°)山体地表位移响应对比

    (a) 水平位移;(b) 竖向位移

    Figure  3.   Comparison of mountain displacement response under obliquely incident SV waves(α=30°)calculated by IBEM and DBEM

    (a) Horizontal displacement;(b) Vertical displacement

    图  4   IBEM与IBEM-FEM耦合法计算的斜入射SV波激励下(α=30°)山岭隧道拱顶位移时程对比

    (a) 水平位移 ;(b) 竖向位移

    Figure  4.   Comparison of arch displacement of mountain tunnel under oblique incident SV wave excitation (α=30 °) calculated by IBEM and IBEM-FEM coupling method

    (a) Horizontal displacement;(b) Vertical displacement

    图  5   合成波和实测波时程和反应谱的结果对比

    (a) TCU-068;(b) EI-Centro Array#6

    Figure  5.   Comparison of synthetic wave and measured wave time history and response spectrum results

    图  6   不同脉冲幅值下山岭隧道衬砌结构受拉损伤云图

    (a) 方向性效应脉冲;(b) 滑冲效应脉冲

    Figure  6.   Cloud map of tensile damage to the lining structure of mountain tunnel with different pulse amplitudes

    (a) Directional effect pulse;(b) Sliding impulse effect pulse

    图  7   不同脉冲幅值下山岭隧道衬砌结构受拉损伤体积比

    (a) 方向性效应脉冲;(b) 滑冲效应脉冲

    Figure  7.   Volume ratio of tensile damage to the lining structure of mountain tunnel under different pulse amplitudes

    (a) Directional effect pulse;(b) Sliding impulse effect pulse

    图  8   不同脉冲周期下山岭隧道衬砌结构受拉损伤云图

    (a) 方向性效应脉冲;(b) 滑冲效应脉冲

    Figure  8.   Cloud map of tensile damage to the lining structure of mountain tunnel with different pulse periods

    (a) Directional effect pulse;(b) Sliding impulse effect pulse

    图  9   不同脉冲周期下山岭隧道衬砌结构损伤体积比

    (a) 方向性效应脉冲;(b) 滑冲效应脉冲

    Figure  9.   Volume ratio of damage to the lining structure of mountain tunnel with different pulse periods

    (a) Directional effect pulse;(b) Sliding impulse effect pulse

    图  10   不同脉冲个数下隧道衬砌受拉损伤云图

    Figure  10.   Cloud map of tensile damage to the lining structure of the mountain tunnel with different numbers of pulses

    图  11   不同脉冲个数下山岭隧道衬砌损伤体积比

    Figure  11.   Volume ratio of damage to the lining structure of the mountain tunnel with different numbers of pulses

    表  1   各材料的本构模型和参数

    Table  1   The constitutive models and parameters of each material

    材料本构模型输入参数
    围岩M-C密度ρ弹性模量 E泊松比 ζ内摩擦角 φ粘聚力c
    2200 kg/m33 GPa0.335°1 MPa
    混凝土衬砌CDP密度ρ弹性模量 E泊松比 ζ抗压强度fc抗拉强度ft
    2500 kg/m330 GPa0.221.20 MPa2.43 MPa
    钢筋双折线本构密度ρ弹性模量 E泊松比 ζ抗压强度fc抗拉强度ft
    7850 kg/m3200 GPa0.28400 MPa400 MPa
    下载: 导出CSV

    表  2   近断层地震动基本信息

    Table  2   Basic information of near fault seismic ground motion

    近断层地震动类型 地震名称 台站 断层距/km 峰值速度/ (cm·s−1 Tp/s
    向前方向性效应脉冲 帝王谷地震 El Centro Array #6 1.35 67.02 3.77
    滑冲效应脉冲 集集地震 TCU-068 0.32 249.59 12.28
    下载: 导出CSV

    表  3   近断层地震动脉冲参数

    Table  3   Arterial parameters of near fault earthquakes

    近断层地震动类型台站A/(cm·s−1Tp/sφ/(°)γt0/s
    向前方向性效应脉冲El Centro Array #6703.77801.36.8
    滑冲效应脉冲TCU-06828911.50-2001.0237.4
    下载: 导出CSV

    表  4   特征点加速度峰值

    Table  4   Peak acceleration of characteristic points

    特征点位置实测地震动峰值加速度(m/s2合成地震动峰值加速度(m/s2误差(%)
    EI-Centro Array#6TCU-068EI-Centro Array#6TCU-068EI-Centro Array#6TCU-068
    拱顶5.718.955.128.9610.330.11
    左拱肩5.579.305.249.395.920.97
    左边墙5.088.834.648.958.661.36
    左拱脚5.338.214.978.866.757.91
    仰拱5.388.395.018.656.873.09
    下载: 导出CSV

    表  6   特征点Mises应力峰值

    Table  6   Mises stress peak values at characteristic points

    特征点位置 实测地震动Mises应力峰值(Mpa) 合成地震动Mises应力峰值(Mpa) 误差(%)
    EI-Centro Array#6 TCU-068 EI-Centro Array#6 TCU-068 EI-Centro Array#6 TCU-068
    拱顶 7.91 10.64 7.42 10.42 6.19 2.07
    左拱肩 21.47 22.17 19.42 22.3 9.55 0.58
    左边墙 10.06 12.61 9.84 12.89 2.18 2.22
    左拱脚 28.88 29.57 27.91 29.62 3.35 0.17
    仰拱 3.61 5.09 3.54 4.63 1.94 9.03
    下载: 导出CSV

    表  5   特征点位移峰值

    Table  5   Peak displacement of characteristic points

    特征点位置实测地震动峰值位移(m)合成地震动峰值位移(m)误差(%)
    EI-Centro Array#6TCU-068EI-Centro Array#6TCU-068EI-Centro Array#6TCU-068
    拱顶0.86213.40.83113.153.593.59
    左拱肩0.8613.410.82913.143.63.6
    左边墙0.85213.380.82313.133.43.4
    左拱脚0.84713.360.81913.123.313.31
    仰拱0.84413.340.81813.123.083.08
    下载: 导出CSV

    表  7   脉冲参数分析工况

    Table  7   Pulse parameter analysis working conditions

    地震波脉冲幅值A/(cm/s)脉冲周期T/s脉冲数量N
    TCU-0681001、2、3、4、5原地震动
    EI-Centro Array#61001、2、3、4、5原地震动
    TCU-06850、100、1503原地震动
    EI-Centro Array#650、100、1503原地震动
    EI-Centro Array#610032、3、4、5
    下载: 导出CSV

    表  8   不同脉冲幅值下山岭隧道衬砌结构特征点水平位移(单位:m)

    Table  8   Horizontal displacement of characteristic points in the lining structure of mountain tunnel with different pulse amplitudes (unit:m)

    工况方向性效应脉冲幅值滑冲效应脉冲幅值
    50 cm/s100 cm/s150 cm/s50 cm/s100 cm/s150 cm/s
    仰拱0.5271.0491.5670.8221.6392.450
    左边墙0.5311.0561.5740.8311.6532.480
    拱顶0.5391.0741.6110.8371.6672.500
    右边墙0.5321.0611.5920.8241.6462.458
    注:数据为监测点时程曲线最大绝对值。
    下载: 导出CSV

    表  9   不同脉冲周期下山岭隧道衬砌结构特征点水平位移 (单位:m)

    Table  9   Horizontal Displacement of Characteristic Points in the Lining Structure of mountain tunnel with Different Pulse Cycles (unit:m)

    工况 方向性效应脉冲周期 滑冲效应脉冲周期
    1 s 2 s 3 s 4 s 5 s 1 s 2 s 3 s 4 s 5 s
    仰拱 0.246 0.737 1.049 1.206 1.419 0.519 1.111 1.639 2.028 2.359
    左边墙 0.250 0.746 1.056 1.210 1.425 0.536 1.128 1.653 2.036 2.363
    拱顶 0.261 0.774 1.074 1.220 1.426 0.544 1.145 1.667 2.045 2.367
    右边墙 0.254 0.755 1.061 1.212 1.418 0.524 1.118 1.646 2.033 2.361
    注:数据为监测点时程曲线最大绝对值。
    下载: 导出CSV

    表  10   不同脉冲个数下山岭隧道衬砌结构特征点水平位移

    Table  10   Horizontal displacement of characteristic points in the lining structure of mountain tunnel with different numbers of pulses (unit:m)

    特征点位置 不同脉冲个数下特征点的水平位移/m
    2 3 4 5
    仰拱 0.246 0.737 1.049 1.206
    左边墙 0.250 0.746 1.056 1.210
    拱顶 0.261 0.774 1.074 1.220
    右边墙 0.254 0.755 1.061 1.212
    注:数据为监测点时程曲线最大绝对值。
    下载: 导出CSV
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  • 收稿日期:  2025-02-01
  • 修回日期:  2025-03-13
  • 录用日期:  2025-03-16
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