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磁流变阻尼器附振动台:结构工程的模拟与实验。

Shaking Table Attached to Magnetorheological Damper: Simulation and Experiments for Structural Engineering.

机构信息

Electronics Department, Universidade Tecnológica Federal do Paraná, UTFPR, Av. Alberto Carazzai 1640, Cornelio Procópio 86300-000, Brazil.

Centro de Ciências Exatas e Tecnologia, Faculdade de Engenharia Mecânica, Universidade Federal de Uberlândia, UFU, Av. João Naves de Ávila 2121, Uberlândia 38408-144, Brazil.

出版信息

Sensors (Basel). 2022 May 10;22(10):3644. doi: 10.3390/s22103644.

Abstract

This paper details how to construct a small-scale shaking table attached to a magnetorheological (MR) damper. The motivation for this construction relies on the increasing interest in modeling the dynamics of MR dampers-MR dampers have been used in structures for safety reasons. To model the MR damper, we use the so-called 'Dahl model', which is useful to represent systems with a hysteresis. The Dahl model, validated through experimental data collected in a laboratory, was combined with a linear model to represent a two-story building. This two-story building model allows us to simulate the dynamics of that building when its floors are attached to MR dampers. By doing so, we can assess-through simulation-to what extent MR dampers can protect structures from vibrations. Using data from the 'El Centro' earthquake (1940), we can conclude that MR dampers have the potential to reduce the impact of earthquakes upon structures. This finding emphasizes the potential benefits of MR dampers for the safety of structures, which is a conclusion taken from the apparatus detailed in this paper.

摘要

本文详细介绍了如何构建一个小型振动台,该振动台附带有磁流变(MR)阻尼器。这种构建的动机依赖于对 MR 阻尼器动力学建模的日益关注——出于安全原因,MR 阻尼器已被用于结构中。为了对 MR 阻尼器进行建模,我们使用了所谓的“达尔模型”,该模型对于表示具有滞后的系统很有用。通过在实验室中收集的实验数据验证的达尔模型与线性模型相结合,用于表示两层建筑。这个两层建筑模型允许我们在其地板连接到 MR 阻尼器时模拟该建筑的动态。通过这样做,我们可以通过模拟来评估 MR 阻尼器在多大程度上可以保护结构免受振动的影响。使用来自“埃尔森特罗”地震(1940 年)的数据,我们可以得出结论,MR 阻尼器有可能减轻地震对结构的影响。这一发现强调了 MR 阻尼器对结构安全的潜在好处,这是从本文详细介绍的仪器中得出的结论。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8c4/9144269/00bafdf37ee2/sensors-22-03644-g001.jpg

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