Vibration Control on Smart Civil Structures: A Review

Amezquita-Sanchez, Juan P.; Domínguez-González, Aurelio; Romero-Troncoso, René de Jesús; Osornio-Ríos, Roque Alfredo

doi:10.1080/15376494.2012.677103

Cited by 63 publications

(41 citation statements)

References 88 publications

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“…29 For this purpose, according to equation (3) and for plane stress condition, the stress-strain If considering that the material is transversely isotropic for PZT-4 i.e. C 13 ¼ C 23 and g 13 ¼ g 23 , the relationship between applied electric filed and stress are given as…”

Section: Resultsmentioning

confidence: 99%

Optimum pattern of piezoelectric actuator placement for stress concentration reduction in a plate with a hole using particle swarm optimization algorithm

Fesharaki

Golabi

2014

Proceedings of the Institution of Mechanical Engineers, Part C:

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This paper focuses on pattern recognition of the best position of piezoelectric patches around the hole in a plate under tension to attain the maximum reduction in stress concentration factor. For this purpose, using particle swarm optimization algorithm, the area and the best location of piezoelectric patches are investigated and the optimum pattern recognition around the hole is presented. Then, the effect of increasing the area of piezoelectric patches and voltage on stress concentration reduction are investigated for all percentage area of piezoelectric patches. To confirm the results, by considering two experimental tests, the results are compared with those reported in presented paper.

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Section: Resultsmentioning

confidence: 99%

Optimum pattern of piezoelectric actuator placement for stress concentration reduction in a plate with a hole using particle swarm optimization algorithm

Fesharaki

Golabi

2014

Proceedings of the Institution of Mechanical Engineers, Part C:

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“…For instance, Pnevmatikos and Gantes [2010] proposed a control strategy to increase damping using active stiffness devices, incorporating a design phase wherein braces are designed based on the relative range of frequencies of the anticipated earthquake. On the one hand, the possibility of embedding devices within the load-bearing structure may be supported by the use of the so-called smart materials [Amezquita-Sanchez et al, 2012]; for example, by piezoelectric actuators installed at the bottom of columns for active seismic control of tall buildings [Fallah and Ebrahimnejad, 2013], by piezoelectric friction dampers [Pardo-Varela and De La Llera, 2015] in base isolation systems [Etedali et al, 2013], or as piezoelectric-based variable stiffness systems [Duerr et al, 2013]. On the other hand, some structural systems seems to be more suitable for integrating control devices because of either the geometric fit between load-bearing and force-control paths, such as tensegrities and active tendons, or the high level of response control effectiveness they achieve when subjected to seismic motion, such as mega-sub controlled structures [Xia, 2012] and controllable outriggers.…”

Section: Integrated Design Of Structure and Control Schemementioning

confidence: 99%

Technical Note: Active and Semi-Active Strategies to Control Building Structures Under Large Earthquake Motion

Morales‐Beltran

Paul

2015

Journal of Earthquake Engineering

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Structural Design, Architectural Engineering and Technology, Faculty of Architecture and the Built Environment, TU Delft, Delft, the NetherlandsAs of today, about 80 buildings equipped with active or semi-active devices for wind and earthquake-induced motion control have been reported. In the first part of this technical note, full-scale applications are reviewed to investigate whether large and severe earthquake levels were targeted as control objectives. In the second part, not yet implemented research studies (2011 -2014) are reviewed. The main conclusion is that strategies integrating control and structural design are the key for implementing large earthquake-target control devices in buildings.

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“…It senses and reacts to the environment in a predictable way in order to compensation all the undesirable external perturbations [3]. Smart structures, especially piezoelectric smart structures, have been used extensively for active vibration control of space structure for years.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Fuzzy Vibration Control of Smart Structure with VFIFE Modeling

Jiang

et al. 2015

J. mech.

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The vibration control of smart structure is considered in this paper. Membrane SAR antenna structure with piezoelectric sensors and actuators is taken as an example. The dynamic model is build up based on vector form intrinsic finite element (VFIFE) method. The four nodes membrane element, sensor element and actuator element for VFIFE are presented. By decentralized control stratagem, the bending and torsional vibrations of the membrane SAR antenna can be decoupled on measurement and driving control. The fuzzy control and adaptive fuzzy control are applied to suppress the bending and torsional vibrations of the membrane SAR structure. In the numerical experiment section, form finding is first carried out, then vibration control simulations are studied. The results demonstrate that adaptive fuzzy control algorithm can suppress the vibrations more effectively than the fuzzy control algorithm.

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Vibration Control on Smart Civil Structures: A Review

Cited by 63 publications

References 88 publications

Optimum pattern of piezoelectric actuator placement for stress concentration reduction in a plate with a hole using particle swarm optimization algorithm

Optimum pattern of piezoelectric actuator placement for stress concentration reduction in a plate with a hole using particle swarm optimization algorithm

Technical Note: Active and Semi-Active Strategies to Control Building Structures Under Large Earthquake Motion

Adaptive Fuzzy Vibration Control of Smart Structure with VFIFE Modeling

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