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Lateral soil pile structure interaction assessment for semi active tuned mass damper buildings
Structures ( IF 4.1 ) Pub Date : 2020-12-25 , DOI: 10.1016/j.istruc.2020.12.020
Mohammad Ghorbanzadeh , Eris Uygar , Serhan Sensoy

Using Lateral load-displacement curves (p-y curves) which is recommended by American Petroleum Institute (API) guideline, is typically used as a design approach for analysis of soil-pile-structure interaction due to its simplicity. The soil-pile structure interface has two separate parts of interaction; kinematic and inertial interaction. Both types of interaction must be measured accurately for the structures with dampers to determine the optimum parameters for design. For structures equipped with semi active tuned mass damper (STMD) on deep foundation, determination of the optimum STMD characterizations are completely related to the dynamic attitude of the structure. Hence, in this study, first the accuracy of general p-y equation for buildings with STMD which have short period on deep foundations are evaluated. Then, three dimensional continuum method (finite element method) is used and the general equation of API are updated to provide compatibility. The results showed that the accuracy of spring method (p-y curves method) is very poor in estimation of dynamic response of the structure. A modified API equation is proposed to improve the accuracy and reduce the degree of error for the data set provided. However, it is concluded that the three dimensional continuum method is still a more trustworthy approach for the type of problem investigated in this paper.



中文翻译:

半主动调谐质量阻尼器建筑物的侧向土桩结构相互作用评估

使用美国石油协会(API)指南推荐的横向荷载-位移曲线(py曲线),由于其简单性,通常用作分析土-桩-结构相互作用的设计方法。土-桩结构的界面有两个相互独立的部分。运动和惯性相互作用。对于带有阻尼器的结构,必须精确测量两种类型的相互作用,以确定设计的最佳参数。对于在深层基础上装有半主动调谐质量阻尼器(STMD)的结构,确定最佳STMD特性与结构的动态姿态完全相关。因此,在这项研究中,首先要评估深基坑上具有短周期的STMD建筑物的一般py方程的准确性。然后,使用三维连续体方法(有限元方法),并更新了API的通用公式以提供兼容性。结果表明,弹簧法(py曲线法)的精度在评估结构动力响应方面非常差。提出了一种改进的API方程,以提高准确性并减少所提供数据集的错误程度。但是,可以得出结论,对于本文研究的问题类型,三维连续体方法仍然是一种更值得信赖的方法。提出了一种改进的API方程,以提高准确性并减少所提供数据集的错误程度。但是,可以得出结论,对于本文研究的问题类型,三维连续体方法仍然是一种更值得信赖的方法。提出了一种改进的API方程,以提高准确性并减少所提供数据集的错误程度。但是,可以得出结论,对于本文研究的问题类型,三维连续体方法仍然是一种更值得信赖的方法。

更新日期:2020-12-25
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