Enhanced vibrating particles system algorithm for damage identification of truss structures

Document Type : Article

Authors

1 Centre of Excellence for Fundamental Studies in Structural Engineering, School of Civil Engineering, Iran University of Science and Technology, Tehran-16, Iran

2 Department of Civil Engineering, Faculty of Engineering, University of Qom, Qom, Iran

Abstract

Vibrating particles system (VPS) optimization is a recently developed metaheuristic algorithm for optimization. This algorithm is inspired by the free vibration of freedom systems’ single degree with viscous damping. In this method, each answer is modeled as a particle that moves to its equilibrium position; new positions of the vibrating particle system are updated according to a historically best position. Enhanced Vibrating Particles system (EVPS) uses new approaches to improve the performance of the VPS algorithm. In this study, a dynamic method and modal based approach consisting of natural frequencies and mode shapes are used in the objective function formulation. To demonstrate the performance of the VPS and EVPS, different truss structures including several multiple elements scenarios with noise and without noise in modal data are considered for detecting damage problems. Additionally, all scenarios are studied with significant mutations. Results show that the EVPS algorithm has reached better answer compared to the VPS algorithm for damage detection problems.

Keywords

Main Subjects

References

Refrences:
1.Kaveh, A., Advances in Metaheuristic Algorithms for Optimal Design of Structures, Springer International Publishing, Switzerland (2017).
2. Shara_, P., Hadi, M.N., and Teh, L.H. Heuristic approach for optimum cost and layout design of 3D reinforced concrete frames", Journal of Structural Engineering, 138(7), pp. 853-863 (2011).
3. Shara_, P., Hadi, M.N., and Teh, L.H. Optimum column layout design of reinforced concrete frames under wind loading", Topics on the Dynamics of Civil Structures, 1, pp. 327-340 (2012).
4. Shara_, P., Hadi, M.N., and Teh, L.H. Cost optimization of column layout design of reinforced concrete buildings", Metaheuristic Applications in Structures and Infrastructures, pp. 129-46 (2013).
5. Holland, J.H., Adaptation in Natural and Arti_cial Systems: An Introductory Analysis with Applications to Biology, Control, and Arti_cial Intelligence, University of Michigan Press (1975).
6. Eberhart, R. and Kennedy, J. A new optimizer using particle swarm theory", In: Proceedings of the Sixth International Symposium on Micro Machine and Human Science, 43, IEEE, New York (1995).
7. Kaveh, A. and Talatahari, S. A novel heuristic optimization method: charged system search", Acta Mech., 213(3-4), pp. 267-289 (2010).
8. Gandomi, A.H. and Alavi, A.H. Krill herd: a new bioinspired optimization algorithm", Commun. Nonlinear Sci. Numer. Simul, 17(12), pp. 4831-4845 (2012).
9. Kaveh, A., Hoseini Vaez, S.R., Hosseini, P., and Fallah, N. Detection of damage in truss structures using simpli_ed dolphin echolocation algorithm based on modal data", Smart Struct. Syst., 18(5), pp. 983-1004 (2016).
10. Kaveh, A. and Mahdavi, V.R. Colliding bodies optimization: a novel meta-heuristic method", Compu. Struct., 139, pp. 18-27 (2014).
11. Kaveh, A. and Ilchi Ghazaan, M. Enhanced colliding bodies optimization for design problems with continuous and discrete variables", Adv. Eng. Softw., 77, pp. 66-75 (2014).
12. Talatahari, S., Gandomi, A.H., Yang, X.-S., and Deb, S. Optimum design of frame structures using the eagle strategy with differential evolution", Eng. Struct., 91, pp. 16-25 (2015).
13. Kaveh, A. and Khayatazad, M. A new meta-heuristic method: ray optimization", Comput. Struct., 112- 113, pp. 283-294 (2012).
14. Kaveh, A. and Bakhshpoori, T. An accelerated water evaporation optimization formulation for discrete optimization of skeletal structures", Comput. Struct., 177, pp. 218-228 (2016).
15. Kaveh, A., Hoseini Vaez, S.R., and Hosseini, P. Modi_ed Dolphin Monitoring for weight optimization of frame structures", Periodica Polytechnica. Civil Engineering, Online First (2018) paper 12544. https://doi.org/10.3311/PPci.12544 16. Kaveh, A. and Ilchi Ghazaan, M. Vibrating particles system algorithm for truss optimization with multiple natural frequency constraints", Acta Mech., 228(1), pp. 307-322 (2017).
17. Azam, S.E., Online Damage Detection in Structural Systems: Applications of Proper Orthogonal Decomposition, and Kalman and Particle Filters, Springer Science & Business Media (2014). 256 A. Kaveh et al./Scientia Iranica, Transactions A: Civil Engineering 26 (2019) 246{256
18. Chang, F.-K., Structural Health Monitoring: Current Status and Perspectives, CRC Press (1998).
19. Kaveh, A. and Mahdavi, V.R. Damage identi_cation of truss structures using CBO and ECBO algorithms", Asian J. Civil Eng., 17(1), pp. 75-89 (2016).
20. Kaveh, A. and Maniat, M. Damage detection based on MCSS and PSO using modal data", Smart Struct. Syst., Techno Press, 15(5), pp. 1253-1270 (2015).
21. Kaveh, A. and Zolghadr, A. An improved CSS for damage detection of truss structures using changes in natural frequencies and mode shapes", Adv. Eng. Softw., 80, pp. 93-100 (2015).
22. Zamani Mehian, S.H., Razavian Amiri, S.A., Maniat, M., and Nowruzpour, M. Structural health monitoring using optimising algorithms based on exibility matrix approach and combination of natural frequencies and mode shapes", International Journal of Structural Engineering, 7(4), pp. 398-411 (2016).
23. Hoseini Vaez, S.R. and Fallah, N. Damage detection of thin plates using GA-PSO algorithm based on modal data", Arabian J. Sci. Eng., pp. 1-13 (2016).
24. Kaveh, A. and Ilchi Ghazaan, M. Vibrating particles system algorithm for truss optimization with multiple natural frequency constraints", Acta Mech., Published Online, pp. 1-16 (2016).
Scientia Iranica
Volume 26, Issue 1
Transactions on Civil Engineering (A)
January and February 2019
Pages 246-256

Files

History

  • Receive Date: 17 February 2017
  • Revise Date: 23 July 2017
  • Accept Date: 14 August 2017

Share

How to cite

Statistics