Re-tuning tuned mass dampers using ambient vibration measurements

Hazra, Budhaditya; Sadhu, Ayan; Lourenco, Richard; Narasimhan, Sriram

doi:10.1088/0964-1726/19/11/115002

Cited by 43 publications

(37 citation statements)

References 38 publications

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“…System identification techniques are not only useful for condition assessment, but also for improving future designs, validating predictive models, and verifying retrofit procedures [5]. Active and semi-active control systems that are now being frequently employed in important structures throughout the world also make use of system identification techniques, which provide intelligent feedback from the structure so that the active and passive (damping) forces supplied to the system can be properly controlled [6]. Although the diversity of applications continue to flourish, a major part of system identification research remains focused on model validation and damage assessment.…”

Section: Introductionmentioning

confidence: 99%

Response‐only modal identification of structures using strong motion data

Ghahari

Abazarsa

Ghannad

et al. 2012

Earthq Engng Struct Dyn

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SUMMARY Dynamic characteristics of structures — viz. natural frequencies, damping ratios, and mode shapes — are central to earthquake‐resistant design. These values identified from field measurements are useful for model validation and health‐monitoring. Most system identification methods require input excitations motions to be measured and the structural response; however, the true input motions are seldom recordable. For example, when soil–structure interaction effects are non‐negligible, neither the free‐field motions nor the recorded responses of the foundations may be assumed as ‘input’. Even in the absence of soil–structure interaction, in many instances, the foundation responses are not recorded (or are recorded with a low signal‐to‐noise ratio). Unfortunately, existing output‐only methods are limited to free vibration data, or weak stationary ambient excitations. However, it is well‐known that the dynamic characteristics of most civil structures are amplitude‐dependent; thus, parameters identified from low‐amplitude responses do not match well with those from strong excitations, which arguably are more pertinent to seismic design. In this study, we present a new identification method through which a structure's dynamic characteristics can be extracted using only seismic response (output) signals. In this method, first, the response signals’ spatial time‐frequency distributions are used for blindly identifying the classical mode shapes and the modal coordinate signals. Second, cross‐relations among the modal coordinates are employed to determine the system's natural frequencies and damping ratios on the premise of linear behavior for the system. We use simulated (but realistic) data to verify the method, and also apply it to a real‐life data set to demonstrate its utility. Copyright © 2012 John Wiley & Sons, Ltd.

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Section: Introductionmentioning

confidence: 99%

Response‐only modal identification of structures using strong motion data

Ghahari

Abazarsa

Ghannad

et al. 2012

Earthq Engng Struct Dyn

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“…Lu and Chen obtained the optimum control parameters of TMD for wind vibration control of Shanghai Center Tower with 632 m high. Hazra et al proposed a novel identification and retuning algorithm based on blind source separation to overcome the presence of closely spaced modes and a relatively large amount of damping in the dominant modes. The optimal TMD parameters will reduce the acceleration and the displacement of wind‐induced vibration at utmost.…”

Section: Introductionmentioning

confidence: 99%

Effects of tuned mass damper on correlation of wind‐induced responses and combination coefficients of equivalent static wind loads of high‐rise buildings

Wang

Garg

et al. 2019

Structural Design Tall Build

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Summary Tuned mass dampers (TMDs) are employed to control the wind‐induced responses of tall buildings. In the meantime, TMD may have an impact on the correlation of wind‐induced responses and combination coefficients of equivalent static wind loads (ESWLs). First, the mass matrix and stiffness matrix were extracted in this paper in accordance with the structural analysis model of two high‐rise buildings, and on that basis, the wind‐induced vibration responses analysis model with and without TMD was established. Second, the synchronous multipoint wind tunnel test to measure the pressure was performed for two high‐rise buildings, and the time history of wind‐induced vibration responses with and without TMD was studied. Finally, the impact of TMD on the correlation of wind‐induced responses and combination coefficients of ESWLs was discussed. The results of two examples suggest that after the installation of TMD, the increase of ρxy was 2.1% to 35.0% and ρyz was 2.8% to 45.6% at all wind directions for Building 1, and the increase of ρxy was 3.9% to 17.1% and ρyz was 6.8% to 38.3% for Building 2. The combination coefficients of ESWLs of two buildings were 3% to 6% larger than that of the original structure. The conclusion of this paper can be referenced by the wind resistant design of high‐rise buildings with TMD.

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“…In reality, it is inevitable because of various reasons (viz. change in structural properties over time, structural damage, inefficient estimation of soil–structure interaction, underestimation or overestimation of structural parameters like mass and stiffness) . Detuning leads to inefficient controller performance to achieve their optimal output for vibration control.…”

Section: Introductionmentioning

confidence: 99%

Reliability-based performance optimization of TMD for vibration control of structures with uncertainty in parameters and excitation

Rathi

Chakraborty

2016

Struct. Control Health Monit.

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Summary Recent development of system identification using Bayesian models or stochastic filtering provides probabilistic descriptions (i.e., probability density function or statistical parameters like mean and variance) of the identified model parameters (e.g., mass, stiffness, and damping). Optimal design of passive controllers for these systems whose parameters are uncertain has remained an open problem. With this in view, the present study aims to develop numerical solution scheme for the optimal design of tuned mass damper (TMD) operating in uncertain environment. Deterministic design of TMD in these cases suffers detuning as the system parameters are random. Thus, a reliability‐based design optimization (RBDO) scheme is presented in this paper for better performance of the TMD when exposed to uncertainties. To solve the RBDO problem, response surface methodology is used along with the moving least squares technique. Dual response surfaces are used for separate handling of optimization and reliability analysis. First response surface performs optimization of the design variables of TMD, while the second response surfaces are used for the estimation of the statistical properties like mean and variance to satisfy the constrained conditions. Numerical analysis is presented to show the effectiveness of the proposed algorithm for RBDO of single degree of freedom‐TMD system as a proof of concept. The proposed meta‐model‐based algorithm can be applied for the optimal design of controller for large structures where conventional technique may face difficulty to handle both optimization and uncertainty quantification simultaneously. Copyright © 2016 John Wiley & Sons, Ltd.

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Re-tuning tuned mass dampers using ambient vibration measurements

Cited by 43 publications

References 38 publications

Response‐only modal identification of structures using strong motion data

Response‐only modal identification of structures using strong motion data

Effects of tuned mass damper on correlation of wind‐induced responses and combination coefficients of equivalent static wind loads of high‐rise buildings

Reliability-based performance optimization of TMD for vibration control of structures with uncertainty in parameters and excitation

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