2018
Camacho-Gómez, C.; Wang, X.; Pereira, E.; Díaz, I. M.; Salcedo-Sanz, Sancho
Active vibration control design using the Coral Reefs Optimization with Substrate Layer algorithm Journal Article
In: Engineering Structures, vol. 157, pp. 14-26, 2018, ISSN: 0141-0296.
Abstract | Links | BibTeX | Tags: Active vibration control, Bio-inspired Metaheuristics, Co-evolution, Coral Reefs Optimization, Human-induced vibrations, MIMO control, Single-objective Optimization
@article{CAMACHOGOMEZ201814,
title = {Active vibration control design using the Coral Reefs Optimization with Substrate Layer algorithm},
author = {C. Camacho-Gómez and X. Wang and E. Pereira and I. M. Díaz and Sancho Salcedo-Sanz},
url = {https://www.sciencedirect.com/science/article/pii/S0141029617311719},
doi = {https://doi.org/10.1016/j.engstruct.2017.12.002},
issn = {0141-0296},
year = {2018},
date = {2018-01-01},
urldate = {2018-01-01},
journal = {Engineering Structures},
volume = {157},
pages = {14-26},
abstract = {Active vibration control (AVC) via inertial-mass actuators is a viable technique to mitigate human-induced vibrations in civil structures. A multi-input multi-output (MIMO) AVC has been previously proposed in the literature to simultaneously find the sensor/actuator pairs’ optimal placements and tune the control gains. However, the method involved local gradient-based methods, which is not affordable when the number of possible locations of actuators is large. In this case, the computation time to obtain a local solution may be huge and unaffordable, which limits the number of test points and/or actuators/sensors considered. This paper proposes an alternative approach based on a recently proposed meta-heuristic, the Coral Reefs Optimization (CRO) algorithm. More concretely, an enhanced version of the CRO is considered, the Coral Reefs Optimization with Substrate Layer (CRO-SL). The CRO-SL is a competitive co-evolution algorithm in which different exploration procedures are jointly evolved within a single population of potential solutions to the problem. The proposed algorithm is thus able to promote competition among different search methods to solve hard optimization problems. In terms of structural design, this work provides an important step to improve the applicability of AVC systems to real complex structures (with a large number of vibration modes and/or with a large number of test points) by achieving global optimum designs with affordable computation time. A finite element model of a real complex floor structure is used to illustrate the contributions of this paper.},
keywords = {Active vibration control, Bio-inspired Metaheuristics, Co-evolution, Coral Reefs Optimization, Human-induced vibrations, MIMO control, Single-objective Optimization},
pubstate = {published},
tppubtype = {article}
}
2017
Salcedo-Sanz, Sancho; Camacho-Gómez, C.; Magdaleno, A.; Pereira, E.; Lorenzana, A.
Structures vibration control via Tuned Mass Dampers using a co-evolution Coral Reefs Optimization algorithm Journal Article
In: Journal of Sound and Vibration, vol. 393, pp. 62-75, 2017, ISSN: 0022-460X.
Abstract | Links | BibTeX | Tags: Bio-inspired Metaheuristics, Co-evolution, Coral Reefs Optimization, Structural vibration control, Tuned Mass Dampers
@article{SALCEDOSANZ201762,
title = {Structures vibration control via Tuned Mass Dampers using a co-evolution Coral Reefs Optimization algorithm},
author = {Sancho Salcedo-Sanz and C. Camacho-Gómez and A. Magdaleno and E. Pereira and A. Lorenzana},
url = {https://www.sciencedirect.com/science/article/pii/S0022460X17300391},
doi = {https://doi.org/10.1016/j.jsv.2017.01.019},
issn = {0022-460X},
year = {2017},
date = {2017-01-01},
urldate = {2017-01-01},
journal = {Journal of Sound and Vibration},
volume = {393},
pages = {62-75},
abstract = {In this paper we tackle a problem of optimal design and location of Tuned Mass Dampers (TMDs) for structures subjected to earthquake ground motions, using a novel meta-heuristic algorithm. Specifically, the Coral Reefs Optimization (CRO) with Substrate Layer (CRO-SL) is proposed as a competitive co-evolution algorithm with different exploration procedures within a single population of solutions. The proposed approach is able to solve the TMD design and location problem, by exploiting the combination of different types of searching mechanisms. This promotes a powerful evolutionary-like algorithm for optimization problems, which is shown to be very effective in this particular problem of TMDs tuning. The proposed algorithm's performance has been evaluated and compared with several reference algorithms in two building models with two and four floors, respectively.},
keywords = {Bio-inspired Metaheuristics, Co-evolution, Coral Reefs Optimization, Structural vibration control, Tuned Mass Dampers},
pubstate = {published},
tppubtype = {article}
}