首页> 外文期刊>International Journal of Civil Engineering,Transaction A:Civil Engineering >Load-Displacement Behavior of Driven Piles in Sand Using CPT-Based Stress and Strain Fields
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Load-Displacement Behavior of Driven Piles in Sand Using CPT-Based Stress and Strain Fields

机译:基于CPT应力场和应变场的砂土中打入桩的荷载-位移特性

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摘要

The bearing capacity of piles is often estimated by a variety of methods such as the limit equilibrium or the limit analysis. In contrast, the load-displacement behavior, which should not be disregarded in common practices, cannot be obtained as simply as the bearing capacity. The reason is its dependency on the stress and the strain (or the displacement) fields around the pile. In the current work, attempt has been made to predict the load-displacement behavior of driven piles in sand by direct and indirect implementation of the cone penetration test (CPT) data into the displacement field. CPT often serves as a very successful in situ test which provides a close link between the soil resistance and the bearing capacity, although it brings no direct information. A rather simple procedure is presented to indirectly use the CPT data to find the stress and strain fields. While the pattern of the failure mechanism has been obtained by the method of stress characteristics, the displacement (and strain) field has been found by the kinematics of the failure mechanism. The proposed procedure has been calibrated and verified by 98 case histories including pile load test results in conjunction with CPT data. Comparisons made by this new method show that the CPT-based method of stress characteristics can be successfully used in load-displacement prediction of driven piles.
机译:通常通过各种方法(例如极限平衡或极限分析)估算桩的承载力。相反,不能像轴承承载力那样简单地获得在通常的实践中不应忽略的载荷-位移行为。原因是它取决于桩周围的应力和应变(或位移)场。在当前的工作中,已经尝试通过将锥体渗透试验(CPT)数据直接和间接地应用到位移场中来预测砂中打入桩的荷载-位移行为。 CPT通常是非常成功的原位测试,尽管没有提供直接信息,但它在耐土壤性和承载力之间提供了紧密的联系。提出了一个相当简单的程序来间接使用CPT数据来查找应力场和应变场。虽然通过应力特征方法获得了故障机制的模式,但通过故障机制的运动学发现了位移(和应变)场。该程序已通过98个案例的历史记录进行了校准和验证,包括桩荷载测试结果以及CPT数据。这种新方法的比较表明,基于CPT的应力特性方法可以成功地用于驱动桩的荷载位移预测。

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