基于连续-非连续方法的铁路隧道衬砌承压能力分析
Research on anti-water pressure capability of railway tunnel lining by continuous-discontinuous element method
查看参考文献10篇
文摘
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西南地区水文地质条件复杂,铁路隧道衬砌的抗水压能力在交通运输工程中受到广泛重视。当排水条件受限时,较高的外部水压可能导致衬砌开裂,这对隧道安全构成严重威胁。科学合理地评价衬砌抗水压能力对衬砌结构设计非常重要。文中结合理论分析和数值模拟,采用连续-非连续方法模拟不同水压条件下隧道衬砌的渐进破坏过程,分析衬砌结构位移、应力应变、界面破裂因子、界面破裂率等参数间的关系。最后,得到不同水压条件下衬砌界面破裂率和衬砌结构渐进破坏之间的关系,将隧道衬砌承压阶段分为安全阶段、相对安全阶段、临界失稳阶段和失稳阶段4个阶段,基于界面破裂率提出衬砌结构当前状态和承压能力评价方法。 |
其他语种文摘
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In transportation engineering,it has been a focus to evaluate the resistance to water pressure of railway tunnel lining,especially in the southwestern region of China,where the hydrogeological conditions are complicated.When the water around lining does not fully drain away,high water pressure may cause the tunnel lining cracking,which will be a threat to tunnel safety.Therefore,it is very important to evaluate reasonably the anti-water pressure capability of the lining.In this paper,the continuous-discontinuous element method (CDEM) is used to simulate the progressive failure process of the tunnel lining under different water pressures.The relationships among the parameters such as displacement,stress,strain,interface crack factor and interface crack ratio are analyzed.Finally,the relationship between the interface crack ratio and the instability of the lining structure is obtained under the different water pressure conditions.The loading capacity of tunnel lining can be divided into four stages,i.e.safety stage,relative safety stage,critical instability stage and instability stage.Based on the interface crack ratio,a method for evaluating the current state and the loading capacity of tunnel lining is proposed,which is particularly valuable for designing the lining structure under water pressure. |
来源
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重庆大学学报
,2019,42(11):98-107 【核心库】
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DOI
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10.11835/j.issn.1000-582x.2019.11.011
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关键词
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连续-非连续
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应力
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界面破裂因子
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界面破裂率
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结构失稳
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地址
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1.
四川叙大铁路有限责任公司, 四川, 泸州, 646000
2.
中国科学院力学研究所, 流固耦合系统力学重点实验室, 北京, 100190
3.
中国科学院大学工程科学学院, 北京, 100049
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语种
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中文 |
文献类型
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研究性论文 |
ISSN
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1000-582X |
学科
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建筑科学 |
基金
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国家重点基础研究发展计划项目课题(973课题)
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中国科学院战略性先导科技专项
;
国家自然科学基金资助项目
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文献收藏号
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CSCD:6619726
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