A supervised approach for improving the dimensionless frequency estimation for time-domain simulations of building structures on embedded foundations

IF 4.3 2区 工程技术 Q1 ENGINEERING, CIVIL
Danilo Kusanovic, Peyman Ayoubi, Elnaz Seylabi, Domniki Asimaki
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引用次数: 0

Abstract

The analysis of soil–structure interaction (SSI) problems has been established successfully in recent decades. In particular, the solution in the frequency domain provides an exact and efficient method for computing the response of the coupled system. Despite this, the state of practice as a first attempt to incentivize time domain analyses compatible with standard finite element packages introduces the so-called dimensionless flexible-base frequency. This frequency, which depends solely on the structure-to-soil-period ratio, allows transforming the frequency domain analyses into time domain analyses using frequency-independent soil impedance values. However, if such frequency exists for the combined system, it must depend on several physical variables. In this work, we propose a supervised approach to obtain the flexible-base dimensionless frequency at which the frequency-independent soil impedance should be used. The analysis is carried out using five dimensionless parameters, and the importance of each one to the estimation of the dimensionless flexible-base frequency is investigated. We use an inverse problem based on ensemble Kalman inversion (EnKI) to obtain the optimal frequency of the interaction. The data obtained are then employed in a machine-learning framework to map a set of dimensionless parameters to such a frequency. The generated mapping is finally verified, and a significant improvement in time-domain simulations is shown compared to the state of practice.

改进嵌入式地基上建筑结构时域模拟的无量纲频率估计的监督方法
近几十年来,对土壤-结构相互作用(SSI)问题的分析已经取得了成功。其中,频域求解为计算耦合系统的响应提供了一种精确而高效的方法。尽管如此,作为与标准有限元软件包兼容的时域分析的首次尝试,实践中引入了所谓的无量纲柔性基频。该频率完全取决于结构与土壤的周期比,可以使用与频率无关的土壤阻抗值将频域分析转换为时域分析。然而,如果组合系统存在这种频率,它必须取决于多个物理变量。在这项工作中,我们提出了一种有监督的方法,以获得应使用与频率无关的土壤阻抗的柔性基底无量纲频率。分析使用了五个无量纲参数,并研究了每个参数对估算无量纲柔性基底频率的重要性。我们使用基于集合卡尔曼反演(EnKI)的逆问题来获得最佳相互作用频率。然后将获得的数据应用于机器学习框架,将一组无量纲参数映射到该频率。最后对生成的映射进行验证,结果表明时域模拟比实际情况有显著改善。
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来源期刊
Earthquake Engineering & Structural Dynamics
Earthquake Engineering & Structural Dynamics 工程技术-工程:地质
CiteScore
7.20
自引率
13.30%
发文量
180
审稿时长
4.8 months
期刊介绍: Earthquake Engineering and Structural Dynamics provides a forum for the publication of papers on several aspects of engineering related to earthquakes. The problems in this field, and their solutions, are international in character and require knowledge of several traditional disciplines; the Journal will reflect this. Papers that may be relevant but do not emphasize earthquake engineering and related structural dynamics are not suitable for the Journal. Relevant topics include the following: ground motions for analysis and design geotechnical earthquake engineering probabilistic and deterministic methods of dynamic analysis experimental behaviour of structures seismic protective systems system identification risk assessment seismic code requirements methods for earthquake-resistant design and retrofit of structures.
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