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首页> 外文期刊>Geotextiles and Geomembranes >Fully coupled analysis of consolidation by prefabricated vertical drains with applications of constant strain rate tests: Case studies and an open-source program
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Fully coupled analysis of consolidation by prefabricated vertical drains with applications of constant strain rate tests: Case studies and an open-source program

机译：预制垂直排水管的固结全耦合分析与恒定应变率测试的应用：案例研究和开源程序

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摘要

The paper proposes a new approach to use measured data of the constant strain rate test (CRST) for analysis of consolidation by prefabricated vertical drains (PVDs). Each PVD has an influence zone that idealised as a unit cell. Consolidation behaviour of a unit cell is studied with an axisymmetric finite element (FE) model based on Bias theory. From a CRST data, ASTM-D4186 or the back-analysis method is used to obtain stress-dependent parameters for the model. An open-source FE software named CONAXIS was developed for these purposes. Data from two projects in Mekong Delta Vietnam were used in this study. In the first project, nine CRSTs with various depths from a borehole were conducted. Two tests were chosen to be simulated using the proposed approach implemented in CONAXIS and the soft soil model in PLAXIS for validation and comparison purposes. Comparing to the laboratory data, CONAXIS gave more accurate results than PLAXIS. Then CONAXIS was used to calculate the settlement of the ground surface during the construction process with different scenarios. For the second project, six CRSTs from three boreholes were used to set up the model in CONAXIS. Modelled results of both projects showed good agreements with field monitoring data.
机译：本文提出了一种使用恒定应变率测试（CRST）的测量数据来分析预制垂直排水管（PVD）固结的新方法。每个PVD都有一个理想化为单位单元的影响区。利用基于偏置理论的轴对称有限元（FE）模型研究了晶胞的固结行为。根据CRST数据，使用ASTM-D4186或反分析方法获得模型的应力相关参数。为此目的，开发了名为CONAXIS的开源有限元软件。这项研究使用了越南湄公河三角洲两个项目的数据。在第一个项目中，进行了9个CRST，这些CRST距井眼的深度各不相同。为了验证和比较目的，使用在CONAXIS中实施的建议方法和在PLAXIS中的软土模型选择了两个测试进行模拟。与实验室数据相比，CONAXIS提供的结果比PLAXIS更准确。然后使用CONAXIS来计算在不同情况下施工过程中地面的沉降。对于第二个项目，使用来自三个钻孔的六个CRST来在CONAXIS中建立模型。这两个项目的模型化结果都表明与现场监测数据具有良好的一致性。

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