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Applications of Firefly Algorithm and its Variants pp 75–97Cite as

Structural Damage Identification Using Adaptive Hybrid Evolutionary Firefly Algorithm

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Part of the book series: Springer Tracts in Nature-Inspired Computing ((STNIC))

Abstract

A recently developed adaptive hybrid evolutionary firefly algorithm (AHEFA) as a cross-breed of differential evolution (DE) approach and firefly algorithm (FA) is utilized to address inverse optimization problems in two-stage damage detection of truss structures. In the first step, the most potentially damaged elements are recognized utilizing a modal strain energy-based index (MSEBI). In the remaining one, the AHEFA is employed as an optimizer to estimate the real damage severity relied on the afore-collected information in the first stage. The effectiveness and correctness of the present algorithm are demonstrated via three numerical examples. Results given by the current paradigm are validated with those solved by the DE and the FA. The outcomes indicate that the AHEFA can perform well in precisely recognizing the locations and extents of multidamage trusses with a lower computational attempt.

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References

  1. Seyedpoor SM (2010) Structural damage detection using a multi-stage particle swarm optimization. Adva Struct Eng 14:533–549

    Article  Google Scholar 

  2. Seyedpoor SM (2012) A two stage method for structural damage detection using a modal strain energy based index and particle swarm optimization. Int J Non-Linear Mech 47:1–8

    Article  Google Scholar 

  3. Seyedpoor SM (2015) An efficient method for structural damage detection using a differential evolution algorithm-based optimisation approach. Civ Eng Environ Syst 32:230–250

    Article  Google Scholar 

  4. Kim NI, Kim S, Lee J (2019) Vibration-based damage detection of planar and space trusses using differential evolution algorithm. Appl Acoustic 148:308–321

    Article  Google Scholar 

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

    MATH  Google Scholar 

  6. Kim NI, Kim H, Lee J (2014) Damage detection of truss structures using two-stage optimization based on micro genetic algorithm. J Mech Sci Tech 28:3687–3695

    Article  Google Scholar 

  7. Guo HY, Li ZL (2009) A two-stage method to identify structural damage sites and extents by using evidence theory and micro-search genetic algorithm. Mech Syst Sig Proc 23:769–782

    Article  Google Scholar 

  8. Masoumi M, Jamshidi E, Bamdad M (2015) Application of generalized flexibility matrix in damage identification using imperialist competitive algorithm. KSCE J Civ Eng 19:994–1001

    Article  Google Scholar 

  9. Kaveh A, Zolghadr A (2015) An improved CSS for damage detection of truss structures using changes in natural frequencies and mode shapes. Adv Eng Soft 80:93–100

    Article  Google Scholar 

  10. Xu HJ, Liu JK, Lu ZR (2016) Structural damage identification based on cuckoo search algorithm. Adva Struct Eng 19:849–859

    Article  Google Scholar 

  11. Dinh-Cong D, Vo-Duy T, Nguyen-Thoi T (2018) Damage assessment in truss structures with limited sensors using a two-stage method and model reduction. Appl Soft Comput 66:264–277

    Article  Google Scholar 

  12. Khatir S, Wahab MA, Boutchicha D, Khatir T (2019) Structural health monitoring using modal strain energy damage indicator coupled with teaching-learning-based optimization algorithm and isogeometric analysis. J Sound Vib 448:230–246

    Article  Google Scholar 

  13. Dinh-Cong D, Ho-Huu V, Vo-Duy T, Ngo-Thi HQ, Nguyen-Thoi T (2018) Efficiency of Jaya algorithm for solving the optimization-based structural damage identification problem based on a hybrid objective function. Eng Optim 50:1233–1251

    Article  MathSciNet  Google Scholar 

  14. Lieu QX, Do DTT, Lee J (2018) An adaptive hybrid evolutionary firefly algorithm for shape and size optimization of truss structures with frequency constraints. Comput Struct 195:99–112

    Article  Google Scholar 

  15. Lieu QX, Lee J (2017) Modeling and optimization of functionally graded plates under thermo-mechanical load using isogeometric analysis and adaptive hybrid evolutionary firefly algorithm. Compos Struct 179:89–106

    Article  Google Scholar 

  16. Lieu QX, Lee J, Lee D, Lee S, Kim D, Lee J (2018) Shape and size optimization of functionally graded sandwich plates using isogeometric analysis and adaptive hybrid evolutionary firefly algorithm. Thin-Walled Struct 124:588–604

    Article  Google Scholar 

  17. Lieu QX, Lee J (2019) An isogeometric multimesh design approach for size and shape optimization of multidirectional functionally graded plates. Comput Methods Appl Mech Eng 343:407–437

    Article  MathSciNet  Google Scholar 

  18. Lieu QX, Lee J (2019) A reliability-based optimization approach for material and thickness composition of multidirectional functionally graded plates. Compos B Eng 164:599–611

    Article  Google Scholar 

  19. Reddy J (2005) An introduction to the finite element method. McGrawHill, New York

    Google Scholar 

  20. Messina A, Williams EJ, Contursi T (1998) Structural damage detection by a sensitivity and statistical-based method. J Sound Vib 216:791–808

    Article  Google Scholar 

  21. Zhao J, DeWolf JT (1999) Sensitivity study for vibrational parameters used in damage detection. J Struct Eng 125:410–416

    Article  Google Scholar 

  22. Storn R, Price K (1997) Differential evolution–a simple and efficient heuristic for global optimization over continuous spaces. J Glob Optim 11:341–359

    Article  MathSciNet  Google Scholar 

  23. Das S, Mullick SS, Suganthan PN (2016) Recent advances in differential evolution—an updated survey. Swarm Evol Comput 27:1–30

    Article  Google Scholar 

  24. Yang XS (2010) Firefly algorithm, stochastic test functions and design optimisation. Int J Bio-Insp Comput 2:78–84

    Article  Google Scholar 

  25. Yang XS (2014) Nature-inspired optimization algorithms. Elsevier Science Publishers B.V, The Netherlands

    MATH  Google Scholar 

  26. Dey N (2017) Advancements in applied metaheuristic computing. IGI Global

    Google Scholar 

  27. Jagatheesan K, Anand B, Samanta S, Dey N, Ashour AS, Balas VE (2017) Design of a proportional-integral-derivative controller for an automatic generation control of multi-area power thermal systems using firefly algorithm. IEEE/CAA J Automatica Sinica 6(2):503–515

    Article  Google Scholar 

  28. Padhye N, Bhardawaj P, Deb K (2013) Improving differential evolution through a unified approach. J Glob Optim 55:771–799

    Article  MathSciNet  Google Scholar 

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Acknowledgements

This research was supported by a grant (NRF-2018R1A2A1A05018287) from NRF (National Research Foundation of Korea) funded by MEST (Ministry of Education and Science Technology) of Korean government.

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Authors and Affiliations

  1. Department of Architectural Engineering, Sejong University, 209 Neungdong-ro, Gwangjin-gu, Seoul, 05006, Republic of Korea

    Qui X. Lieu & Jaehong Lee

  2. Faculty of Civil Engineering, Ho Chi Minh City University of Technology (HCMUT)-Vietnam National University (VNU), 268 Ly Thuong Kiet Street, District 10, Ho Chi Minh City, 700000, Vietnam

    Qui X. Lieu & Van Hai Luong

Authors
  1. Qui X. Lieu
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  2. Van Hai Luong
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  3. Jaehong Lee
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Corresponding author

Correspondence to Jaehong Lee .

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Editors and Affiliations

  1. Department of Information Technology, Techno India College of Technology, Kolkata, West Bengal, India

    Nilanjan Dey

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Lieu, Q.X., Luong, V.H., Lee, J. (2020). Structural Damage Identification Using Adaptive Hybrid Evolutionary Firefly Algorithm. In: Dey, N. (eds) Applications of Firefly Algorithm and its Variants. Springer Tracts in Nature-Inspired Computing. Springer, Singapore. https://doi.org/10.1007/978-981-15-0306-1_4

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