Analysis of a Benchmark Building Installed with Tuned Mass Dampers under Wind and Earthquake Loads

Elias, Said; Rupakhety, Rajesh; Ólafsson, Stefán

doi:10.1155/2019/7091819

Cited by 15 publications

(11 citation statements)

References 45 publications

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“…0 T . Notice that equation (1) has been widely employed to model diverse engineering systems such as dynamic vibration absorbers [22,23] and flexible structures [24].…”

Section: An Output Feedback Dynamic Control Approachmentioning

confidence: 99%

“…Figure 13 shows the time histories of the quadrotor pitch and roll tracking. e references θ * and ϕ * were computed online accordingly to equation (22) in order to regulate the displacements in X and Y directions adequately. In both cases the tracking of the computed references is achieved due to the robust structure of the proposed control scheme, where the virtual control stage depends on the regulation and tracking of this variables for ensuring the planned path following.…”

Section: Case Studies On Dynamic Performance Assessmentmentioning

confidence: 99%

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A Dynamic Motion Tracking Control Approach for a Quadrotor Aerial Mechanical System

Yañez-Badillo

Beltrán-Carbajal

Tapia‐Olvera

et al. 2020

Shock and Vibration

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This paper deals with the reference trajectory tracking problem and simultaneous active disturbance suppression on a class of controlled aerial mechanical systems by processing measurable output signals. A novel dynamic control method for desired motion reference trajectory tracking for quadrotor helicopters is introduced. Measurements of position output signals for efficient and robust tracking of motion profiles specified for the unmanned aerial vehicle are only required. Thus, differentiation of signals and real-time estimation of disturbances affecting the multi-input multioutput, underactuated nonlinear dynamic system are unnecessary. The presented active control approach can be directly extended for a class of vibrating mechanical systems. Analytical, experimental, and numerical results are presented to prove the satisfactory performance of the proposed trajectory tracking control approach for considerably perturbed operating scenarios.

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“…0 T . Notice that equation (1) has been widely employed to model diverse engineering systems such as dynamic vibration absorbers [22,23] and flexible structures [24].…”

Section: An Output Feedback Dynamic Control Approachmentioning

confidence: 99%

Section: Case Studies On Dynamic Performance Assessmentmentioning

confidence: 99%

A Dynamic Motion Tracking Control Approach for a Quadrotor Aerial Mechanical System

Yañez-Badillo

Beltrán-Carbajal

Tapia‐Olvera

et al. 2020

Shock and Vibration

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“…The TMD is required to be optimized to be effective under a certain loading condition; however, the structure may experience various strong dynamic loads throughout its lifetime. To cater to this problem, researchers are now also interested in multi‐hazard control of structures using the TMD 23,24 . The present investigation has been inspired from need to optimize the parameters of the response control device installed on a tall building experiencing multiple hazards.…”

Section: Introductionmentioning

confidence: 99%

“…To cater to this problem, researchers are now also interested in multi-hazard control of structures using the TMD. 23,24 The present investigation has been inspired from need to optimize the parameters of the response control device installed on a tall building experiencing multiple hazards.…”

Section: Introductionmentioning

confidence: 99%

Optimum design of nonlinear tuned mass damper for dynamic response control under earthquake and wind excitations

Banerjee

Ghosh

Matsagar

2022

Structural Contr & Hlth

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Summary Urban cities worldwide are filled with low‐rise to high‐rise buildings which may be vulnerable to both earthquake and wind excitations depending on their locations. Here, the performance of optimally designed nonlinear tuned mass dampers (TMDs) is evaluated for the vibration control of multi‐story structures under the multi‐hazard scenario. The functionality of the linear dashpot deteriorates with age; therefore, in this paper, nonlinearity is introduced in the damping element of the passive TMD. Two nonlinear TMDs are investigated, one with Bingham‐type damping element and another comprising viscous power law damping. The optimally designed TMDs are attached to five multi‐story structures with the number of stories ranging from 5 stories to 25 stories. Subsequently, the performances of the various TMD designs are evaluated when the structures are subjected to an ensemble of nonconcurrent earthquake and wind‐borne loads. Also, the efficacy of the equivalent pulse‐type ground acceleration in the prediction of structural response under near fault earthquake‐induced loads is studied. The degradation in the performance of the TMDs is discussed when the structures are subjected to earthquake‐induced loads, but the TMDs are designed to be effective against wind‐imparted loads, and vice versa. It is observed that the nonlinear TMDs could achieve reductions in the structural response comparable to that achieved by an optimally designed linear TMD, at the same time negating the shortcomings of the linear viscous damper.

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“…Previously civil structures were designed by conventional codes along with Passive Vibration Control (PVC) system, that is unable to adjust structural characteristics (i.e., mass, stiffness, or damping) dynamically under the environmental loads (i.e., earthquakes and strong winds). [1][2][3][4][5][6][7] However, with the developing trend of high-rise buildings and long-span bridges, the need for smart structures ascends that can adapt towards their changing environment and keep up their serviceability progressively. Through the escalation of Active Vibration Control (AVC) and Semi-active Vibration Control (SVC) systems since 1980, 8,9 the concept of smart structures is acknowledged 10 as an intelligent machine that can change and adapt to its environment dynamically working on a few components: sensors, actuators, signal processors, and power sources.…”

Section: Introductionmentioning

confidence: 99%

Research developments in adaptive intelligent vibration control of smart civil structures

Saeed

Sun

Elias

2021

Journal of Low Frequency Noise, Vibration and Active Control

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Control algorithms are the most critical aspects in the successful control of civil structures subjected to earthquake and wind forces. In recent years, adaptive intelligent control algorithms are emerging as an acceptable substitute method to conventional model-based control algorithms. These algorithms mainly work on the principles of artificial intelligence (AI) and soft computing (SC) methods that make them highly efficient in controlling highly nonlinear, time-varying, and time-delayed complex civil structures. The current research probes to control algorithms, that this article set forth an inclusive state-of-the-art review of adaptive intelligent control (AIC) algorithms for vibration control of smart civil structures. First, a general introduction to adaptive intelligent control is presented along with its advantages over conventional control algorithms. Second, their classification concerning artificial intelligence and soft computing methods is provided that mainly consists of artificial neural network-based controller, brain emotional learning-based intelligent controller, replicator dynamics-based controller, multi-agent system-based controller, support vector machine-based controller, fuzzy logic control, adaptive neuro-fuzzy inference system-based controller, adaptive filters-base controller, and meta-heuristic algorithms-based hybrid controllers. Third, a brief review of these algorithms with their developments on the theory and applications is provided. Fourth, we demonstrate a summarized overview of the cited literature with a brief trend analysis is presented. Finally, this study presents an overview of these innovative AIC methods that can demonstrate future directions. The contribution of this article is the anticipation of detailed and in-depth discussion into the perspective of AI and SC-based AIC method advances that enabled practical applications in attenuating vibration response of smart civil structures. Moreover, the review demonstrates the computing advantages of AIC over conventional controllers that are important in creating the next generation of smart civil structures.

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Analysis of a Benchmark Building Installed with Tuned Mass Dampers under Wind and Earthquake Loads

Cited by 15 publications

References 45 publications

A Dynamic Motion Tracking Control Approach for a Quadrotor Aerial Mechanical System

A Dynamic Motion Tracking Control Approach for a Quadrotor Aerial Mechanical System

Optimum design of nonlinear tuned mass damper for dynamic response control under earthquake and wind excitations

Research developments in adaptive intelligent vibration control of smart civil structures

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