article

A sunflower optimization (SFO) algorithm applied to damage identification on laminated composite plates

Authors:

Guilherme Ferreira Gomes,

Sebastiao Simões Cunha, Jr.,

Antonio Carlos Ancelotti, Jr.Authors Info & Claims

Engineering with Computers, Volume 35, Issue 2

Pages 619 - 626

https://doi.org/10.1007/s00366-018-0620-8

Published: 01 April 2019 Publication History

Abstract

The need for global damage detection methods that can be applied in complex structures has led to the development of methods that examine the structural dynamic behavior. The damage detection problem can be considered as a inverse problem with minimization of a objective function. For those reasons, a new nature-inspired optimization method based on sunflowers' motion is introduced. The proposed sunflower optimization algorithm (SFO) technique is a population-based iterative heuristic global optimization algorithm for multi-modal problems. Compared to traditional algorithms, SFO employs terms as root velocity and pollination providing robustness. The new method is then applied in an inverse problem of structural damage detection in composite laminated plates.

References

[1]

APDL AM (2010) Mechanical applications theory reference. ANSYS Release 13

[2]

Bayraktar Z, Komurcu M, Bossard JA, Werner DH (2013) The wind driven optimization technique and its application in electromagnetics. IEEE Trans Antennas Propag 61(5):2745---2757

[3]

Chou J-H, Ghaboussi J (2001) Genetic algorithm in structural damage detection. Comput Struct 79(14):1335---1353

[4]

Daei M, Mirmohammadi SH (2015) A flexibility method for structural damage identification using continuous ant colony optimization. Multidiscip Model Mater Struct 11(2):186---201

[5]

Gerist S, Maheri MR (2016) Multi-stage approach for structural damage detection problem using basis pursuit and particle swarm optimization. J Sound Vib 384:210---226

[6]

Gomes GF (2016) Damage detection in laminated composite materials via optimization techniques and dynamic parameter. Master thesis, Federal University of Itajubá

[7]

Gomes GF, Diniz CA, da Cunha SS, Ancelotti AC (2017) Design optimization of composite prosthetic tubes using GA-ANN algorithm considering Tsai-Wu fail criteria. J Fail Anal Prev 17(4):740---749

[8]

Gomes GF, Mendéz YAD, Alexandrino PDSL, da Cunha, SS, Ancelotti AC 2018. The use of intelligent computational tools for damage detection and identification with an emphasis on composites--a review. Compos Struct 196:44---54

[9]

Gomes GF, Mendéz YAD, da Cunha SS, Ancelotti AC (2018) A numerical---experimental study for structural damage detection in CFRP plates using remote vibration measurements. J Civil Struct Health Monit 8(1):33---47

[10]

Gomes GF, Mendez YAD, Alexandrino PDSL, da Cunha, SS, Ancelotti AC 2018. A review of vibration based inverse methods for damage detection and identification in mechanical structures using optimization algorithms and ANN. Arch Comput Methods Eng.

[11]

Hao H, Xia Y (2002) Vibration-based damage detection of structures by genetic algorithm. J Comput Civil Eng 16(3):222---229

[12]

Kang F, Li J (2015) Artificial bee colony algorithm optimized support vector regression for system reliability analysis of slopes. J Comput Civil Eng 30(3):04015040

[13]

Kang F, Li J-J, Xu Q (2012) Damage detection based on improved particle swarm optimization using vibration data. Appl Soft Comput 12(8):2329---2335

Digital Library

[14]

Kang F, Li J, Liu S (2013) Combined data with particle swarm optimization for structural damage detection. Math Probl Eng 2013:1---10

[15]

Kang F, Xu Q, Li J (2016) Slope reliability analysis using surrogate models via new support vector machines with swarm intelligence. Appl Math Model 40(11---12):6105---6120

[16]

Li X, Zhang X, Li C, Zhang L et al (2013) Rolling element bearing fault detection using support vector machine with improved ant colony optimization. Measurement 46(8):2726---2734

[17]

Majumdar A, Maiti DK, Maity D (2012) Damage assessment of truss structures from changes in natural frequencies using ant colony optimization. Appl Math Comput 218(19):9759---9772

[18]

McInnes CR (1999) Solar radiation pressure. In: Solar sailing. Springer, London, pp 32---55.

[19]

Mehrjoo M, Khaji N, Ghafory-Ashtiany M (2013) Application of genetic algorithm in crack detection of beam-like structures using a new cracked Euler---Bernoulli beam element. Appl Soft Comput 13(2):867---880

Digital Library

[20]

Mitchell M (1998) An introduction to genetic algorithms. MIT press

Digital Library

[21]

Rao SS, Rao SS (2009) Engineering optimization: theory and practice. Wiley, Hoboken

[22]

Santos A, Silva M, Santos R, Figueiredo E, Sales C, Costa JC (2016) A global expectation-maximization based on memetic swarm optimization for structural damage detection. Struct Health Monit 15(5):610---625

[23]

Shirazi MN, Mollamahmoudi H, Seyedpoor S (2014) Structural damage identification using an adaptive multi-stage optimization method based on a modified particle swarm algorithm. J Optim Theory Appl 160(3):1009---1019

[24]

Silva M, Santos A, Figueiredo E, Santos R, Sales C, Costa JC (2016) A novel unsupervised approach based on a genetic algorithm for structural damage detection in bridges. Eng Appl Artif Intell 52:168---180

Digital Library

[25]

Yang X-S (2010) Engineering optimization: an introduction with metaheuristic applications. Wiley, Hoboken

Digital Library

[26]

Yang X-S (2012) Flower pollination algorithm for global optimization. In: International conference on unconventional computing and natural computation. Springer, Berlin, pp 240---249

Digital Library

[27]

Zhao X, Gao H, Zhang G, Ayhan B, Yan F, Kwan C, Rose JL (2007) Active health monitoring of an aircraft wing with embedded piezoelectric sensor/actuator network: I. Defect detection, localization and growth monitoring. Smart Mater Struct 16(4):1208

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cover image Engineering with Computers

Engineering with Computers Volume 35, Issue 2

April 2019

379 pages

ISSN:0177-0667

EISSN:1435-5663

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Copyright © Copyright © 2019 Springer-Verlag London Ltd., part of Springer Nature.

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 April 2019

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