Multi-agent replicator controller for sustainable vibration control of smart structures

Soto, Mariantonieta Gutierrez; Adeli, Hojjat

doi:10.21595/jve.2017.18924

Cited by 52 publications

(33 citation statements)

References 48 publications

(54 reference statements)

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“…These are active, semi-active, and hybrid systems. [57] While active systems can effectively mitigate most of the disadvantages of conventional TMDs, with considerable recent improvements in their control algorithms to improve their response, [58][59][60][61][62][63][64][65][66] they typically result in a higher cost and require a large source of external power, which makes them less reliable and practical. To overcome this last detriment, semi-active systems are devised to require only a minimum amount of external energy.…”

Section: Conventional Approachesmentioning

confidence: 99%

An integrated damping system for tall buildings

Martinez-Paneda

Elghazouli

2020

Structural Design Tall Build

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Summary This paper proposes an integrated damping system that aims at providing relatively high damping levels through the mobilization of a proportion of the structure's own mass. This offers significantly higher mass levels and, consequently, considerably more damping compared to conventional tuned mass dampers. Fluid viscous dampers are used to control accelerations in parallel with springs to resist the static loads applied to the moving mass. The advantages of employing relatively large mass levels in achieving considerable damping and reducing sensitivity to tuning are first analyzed using an idealized two degree of freedom structural representation. This is then followed by a description of the proposed “integrated damping system,” which is illustrated through a case study of a 250‐m tall building. The benefits of the proposed damping system are demonstrated through several numerical parametric assessments, as well as a selected suite of earthquake records. For the adopted case study, it is shown that, besides reducing the level of perceivable accelerations, the use of the suggested arrangement can offer an equivalent damping exceeding 50% of the critical damping, resulting in more than 40% reduction in the wind loads as well as over 60% reduction in displacement and acceleration response under seismic excitations.

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Section: Conventional Approachesmentioning

confidence: 99%

An integrated damping system for tall buildings

Martinez-Paneda

Elghazouli

2020

Structural Design Tall Build

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“…First, the definition of both the emotional and sensory signals such that they are able to represent the system's state and the control's objective. In the current problem, those stimuli signals are characterized through Equations (12) and (13). Secondly, one must be aware that the controller performance strongly depends on several parameters such as the amygdala and orbitofrontal learning rates.…”

Section: Control System Architecturementioning

confidence: 99%

“…Besides requiring less external energy, in general semi-active vibration control leads to increased overall stability compared to active control [1,2]. For those reasons, the use of semi-active control systems is a trending research theme and can be found applied in many distinct engineering areas such as vehicles suspensions and smart structures just to name a few [3][4][5][6][7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Semi-Active Vibration Control of a Non-Collocated Civil Structure Using Evolutionary-Based BELBIC

2019

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A buildings resilience to seismic activity can be increased by providing ways for the structure to dynamically counteract the effect of the Earth’s crust movements. This ability is fundamental in certain regions of the globe, where earthquakes are more frequent, and can be achieved using different strategies. State-of-the-art anti-seismic buildings have, embedded on their structure, mostly passive actuators such as base isolation, Tuned Mass Dampers (TMD) and viscous dampers that can be used to reduce the effect of seismic or even wind induced vibrations. The main disadvantage of this type of building vibration reduction strategies concerns their inability to adapt their properties in accordance to both the excitation signal or structural behaviour. This adaption capability can be promoted by adding to the building active type actuators operating under a closed-loop. However, these systems are substantially larger than passive type solutions and require a considerable amount of energy that may not be available during a severe earthquake due to power grid failure. An intermediate solution between these two extremes is the introduction of semi-active actuators such as magneto–rheological dampers. The inclusion of magneto–rheological actuators is among one of the most promising semi-active techniques. However, the overall performance of this strategy depends on several aspects such as the actuators number and location within the structure and the vibration sensors network. It can be the case where the installation leads to a non-collocated system which presents additional challenges to control. This paper proposes to tackle the problem of controlling the vibration of a non-collocated three-storey building by means of a brain–emotional controller tuned using an evolutionary algorithm. This controller will be used to adjust the stiffness coefficient of a magneto–rheological actuator such that the building’s frame oscillation under earthquake excitation, is mitigated. The obtained results suggest that, using this control strategy, it is possible to reduce the building vibration to secure levels.

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“…Recently, Gutierrez Soto and Adeli (2017a) introduced novel multiagent replicator controllers for sustainable vibration control of smart structures based on three ideas: artificial intelligence concept of agents, replicator dynamics from evolutionary game theory, and energy minimization.…”

Section: Other Adaptive Control Algorithmsmentioning

confidence: 99%

Control methodologies for vibration control of smart civil and mechanical structures

Adeli

2018

Expert Systems

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Artificial intelligence and expert system remains a key technology in the 21st century. Using active controllers, a structure can adaptively adjust its behaviour during dynamic loads. Such structures with self‐modifying capabilities are referred to as intelligent or smart structures. Smart structure technology has the potential to be a game changer in the structural engineering field. It promises to have enormous consequences in terms of preventing loss of life and damage to structure and their content especially for large structures with hundreds or thousands of components. A key element in successful implementation of smart active control technology is an effective control algorithm to compute the magnitudes of actual forces to be applied to the structure. In this paper, an overview of main active control methodologies for vibration control of smart civil and mechanical structures subjected to external dynamic loads is presented. The advantages and the disadvantages of different control algorithms are discussed. Finally, new trends in control algorithm research are pointed out including multiparadigm strategies, decentralized control, application of deep neural network machine learning techniques, control design for sustainability, and unification of the two fields of structural health monitoring and vibration control.

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Multi-agent replicator controller for sustainable vibration control of smart structures

Cited by 52 publications

References 48 publications

An integrated damping system for tall buildings

An integrated damping system for tall buildings

Semi-Active Vibration Control of a Non-Collocated Civil Structure Using Evolutionary-Based BELBIC

Control methodologies for vibration control of smart civil and mechanical structures

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