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Data‐Driven Two‐Level Performance Evaluation of Eddy‐Current Tuned Mass Damper for Building Structures Using Shaking Table and Field Testing
Author(s) -
Lu Xilin,
Zhang Qi,
Wu Weichao,
Shan Jiazeng
Publication year - 2019
Publication title -
computer‐aided civil and infrastructure engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.773
H-Index - 82
eISSN - 1467-8667
pISSN - 1093-9687
DOI - 10.1111/mice.12373
Subject(s) - earthquake shaking table , dissipation , damper , tuned mass damper , eddy current , field (mathematics) , test data , sensitivity (control systems) , time domain , computer science , engineering , control theory (sociology) , structural engineering , simulation , control (management) , mathematics , physics , electronic engineering , artificial intelligence , electrical engineering , pure mathematics , thermodynamics , programming language , computer vision
A computational framework with a two‐level performance evaluation is proposed for the tuned mass damper (TMD)‐structure system and is implemented for a new eddy‐current (EC) TMD in a data‐driven manner by incorporating the measurements from a shaking table test and real‐world field tests. The first level of evaluation corresponds to the data analysis with classical performance indices, whereas the second level focuses on the energy dissipation and exchange behavior in the time domain. Accordingly, two key steps of physical modeling and unmeasured response estimation are sequentially presented, and the steps adopt two types of energy balance formulations and state–space descriptions for the primary structure and the TMD, respectively. In the case of shaking table test, the momentary and cumulative behavior of energy dissipation and exchange at the second level is systematically revealed, and several key issues are identified for explaining the observed performance variation and excitation‐sensitivity. In the case of field test, the damping and control performance of the EC‐TMD at the real‐world scale is investigated with informative results using the first level evaluation.