Artículos
Supervisión de salud estructural mediante algoritmos de optimización Firefly y elementos finitos
Octavio Andrés González-Estrada- Heller Guillermo Sánchez-Acevedo
Publicado 2020-09-08
Palabras clave
- Algoritmo firefly,
- optimización,
- método de elementos finitos,
- análisis modal,
- monitoreo de salud estructural
Cómo citar
González-Estrada, O. A., Manrique-Escobar, C. A., & Sánchez-Acevedo, H. G. (2020). Supervisión de salud estructural mediante algoritmos de optimización Firefly y elementos finitos. Revista UIS Ingenierías, 19(4), 251–262. https://doi.org/10.18273/revuin.v19n4-2020021
Derechos de autor 2020 Revista UIS Ingenierías
Esta obra está bajo una licencia internacional Creative Commons Atribución-SinDerivadas 4.0.
Resumen
En este estudio, se investiga una técnica novedosa para la detección de daños múltiples de estructuras mediante la caracterización modal para evaluar la respuesta dinámica de la estructura dado un modelo de daño. El problema de identificación de daños se plantea como un problema de optimización que se resuelve utilizando un algoritmo de optimización tipo firefly. La función objetivo se basa en un modelo de daño numérico que considera la respuesta modal de las estructuras. Mostramos algunos detalles de implementación y discutimos los resultados obtenidos para un problema de referencia utilizado para evaluar el rendimiento del método y sus ventajas para el monitoreo de la salud estructural.
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Referencias
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[2] O. A. González-Estrada, J. Leal Enciso, J. D. Reyes, J. D. Reyes Herrera, “Análisis de integridad estructural de tuberías de material compuesto para el transporte de hidrocarburos por elementos finitos,” Rev. UIS Ing., vol. 15, no. 2, pp. 105–116, Jan. 2016, doi: 10.18273/revuin.v15n2-2016009
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[5] H. G. Sánchez-Acevedo, F. R. Nova, O. A. González-Estrada, “Implementation of the Operational Modal Analysis technique in a power transmission shaft,” J. Phys. Conf. Ser., vol. 1247, p. 12032, 2019, doi: 10.1088/1742-6596/1247/1/012032
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[8] S. A. Ardila Parra, H. G. Sánchez-Acevedo, O. A. González-Estrada, “Evaluation of damage to the lumbar spine vertebrae L5 by finite element analysis,” Respuestas, vol. 24, no. 1, pp. 50–55, 2019, doi: 10.22463/0122820X.1804
[9] H. G. Sánchez-Acevedo, D. M. C. Marulanda, E. G. Florez, “Application of vibration based damage identification techniques on metallic structures,” Adv. Mater. Res., vol. 875–877, pp. 875–879, Feb. 2014, doi: 10.4028/www.scientific.net/AMR.875-877.875
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[11] J. M. Pachón, O. A. González-Estrada, H. G. Sánchez Acevedo, “Detección de daños en una armadura unidimensional por medio del algoritmo de optimización de la luciérnaga y elementos finitos,” Av. Investig. en Ing., vol. 13, no. 1, pp. 1–7, 2016.
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[17] S. M. Bland, R. K. Kapania, “Damage Identification of Plate Structures Using a Hybrid Genetic-Sensitivity Approach,” AIAA J., vol. 43, no. 2, pp. 439–442, May 2005, [Online]. Available: http://arc.aiaa.org/doi/abs/10.2514/1.3857?journalCode=aiaaj.
[18] G.-D. Zhou, T.-H. Yi, H.-N. Li, “Sensor placement optimization in structural health monitoring using cluster-in-cluster firefly algorithm,” Adv. Struct. Eng., vol. 17, no. 8, pp. 1103–1115, 2014.
[19] Á. Viviescas Jaimes, L. A. Vargas Carvajal, C. A. Riveros Jerez, “Identificación modal de un puente viga cajón usando mediciones óptimamente seleccionadas de ensayosde excitación ambiental,” Rev. UIS Ing., vol. 18, no. 2, pp. 31–40, 2019, doi: 10.18273/revuin.v18n2-2019003
[20] J. E. Laier, J. D. V Morales, “Computational Structural Engineering: Proceedings of the International Symposium on Computational Structural Engineering, held in Shanghai, China, June 22--24, 2009,” Y. Yuan, J. Cui, and H. A. Mang, Eds. Dordrecht: Springer Netherlands, 2009, pp. 833–839.
[21] M. I. I. Friswell, J. E. T. E. T. Penny, “Crack Modeling for Structural Health Monitoring,” Struct. Heal. Monit. An Int. J., vol. 1, no. 2, pp. 139–148, Jun. 2002, doi: 10.1177/1475921702001002002
[22] W. B. Krätzig, Y. S. Petryna, “Structural damage and life-time estimates by nonlinear FE simulation,” Eng. Struct., vol. 27, no. 12 SPEC. ISS., pp. 1726–1740, Oct. 2005, doi: 10.1016/j.engstruct.2005.04.015
[23] D. Hartmann, K. Smarsly, K. Law, “Coupling sensor-based structural health monitoring with finite element model updating for probabilistic lifetime estimation of wind energy converter structures,” in Proceedings of the 8th international workshop on structural health monitoring, 2011, pp. 13–15, [Online]. Available: http://www.inf.bi.uni-bochum.de/intern/aigaion/documents/smarsly2011f.pdf-b6da891bb21981e77144d6893b1a52c3.pdf
[24] K. Smarsly, K. H. Law, D. Hartmann, “Towards life-cycle management of wind turbines based on structural health monitoring,” in Proceedings of the First International Conference on Performance-based Life-cycle Structural Engineering, 2012, [Online]. Available: http://eil.stanford.edu/publications/kay_smarsly/smarsly2012d.pdf
[25] X. Yang, Nature-Inspired Metaheuristic Algorithms, 1st ed. Frome: Luniver Press, 2008.
[26] X. Yang, X. He, “Firefly algorithm: recent advances and applications,” Int. J. Swarm Intell., vol. 1, no. 1, p. 36, Aug. 2013, doi: 10.1504/IJSI.2013.055801
[27] B. H. Koh, S. J. Dyke, “Structural health monitoring for flexible bridge structures using correlation and sensitivity of modal data,” Comput. Struct., vol. 85, no. 3–4, pp. 117–130, 2007, doi: 10.1016/j.compstruc.2006.09.005.
[28] S. C. Mohan, D. K. Maiti, D. Maity, “Structural damage assessment using FRF employing particle swarm optimization,” Appl. Math. Comput., vol. 219, no. 20, pp. 10387–10400, 2013, doi: 10.1016/j.amc.2013.04.016
[29] T. Nguyen-Thoi, A. Tran-Viet, N. Nguyen-Minh, T. Vo-Duy, V. Ho-Huu, “A combination of damage locating vector method (DLV) and differential evolution algorithm (DE) for structural damage assessment,” Front. Struct. Civ. Eng., vol. 12, no. 1, pp. 92–108, 2018, doi: 10.1007/s11709-016-0379-1
[30] Z. T. Wei, J. K. Liu, Z. R. Lu, “Damage identification in plates based on the ratio of modal strain energy change and sensitivity analysis,” Inverse Probl. Sci. Eng., vol. 24, no. 2, pp. 265–283, 2016, doi: 10.1080/17415977.2015.1017489
[31] Y. Z. Fu, J. K. Liu, Z. T. Wei, Z. R. Lu, “A two-step approach for damage Identification in plates,” JVC/Journal Vib. Control, vol. 22, no. 13, pp. 3018–3031, 2016, doi: 10.1177/1077546314557689
[32] Z. Y. Shi, S. S. Law, L. M. Zhang, “Structural Damage Detection from Modal Strain Energy Change,” J. Eng. Mech., vol. 126, no. 12, pp. 1216–1223, 2000, doi: 10.1061/(ASCE)0733-9399(2000)126:12(1216)
[33] J. Xiang, M. Liang, Y. He, “Experimental investigation of frequency-based multi-damage detection for beams using support vector regression,” Eng. Fract. Mech., vol. 131, pp. 257–268, 2014, doi: 10.1016/j.engfracmech.2014.08.001
[34] D. Montgomery, Design and Analysis of Experiments, 9th ed. Hoboken, NJ: John Wiley & Sons, 2017.
[35] Y. L. Zhou, M. Abdel Wahab, “Cosine based and extended transmissibility damage indicators for structural damage detection,” Eng. Struct., vol. 141, pp. 175–183, 2017, doi: 10.1016/j.engstruct.2017.03.030
[2] O. A. González-Estrada, J. Leal Enciso, J. D. Reyes, J. D. Reyes Herrera, “Análisis de integridad estructural de tuberías de material compuesto para el transporte de hidrocarburos por elementos finitos,” Rev. UIS Ing., vol. 15, no. 2, pp. 105–116, Jan. 2016, doi: 10.18273/revuin.v15n2-2016009
[3] A. M. Agredo Chávez, S. J. Sarmiento Nova, Á. Viviescas Jaimes, A. Viviescas Jaimes, “Evaluación de la rigidez a flexión de puentes de viga-losa en concreto presforzado a partir de pruebas de carga. Caso de estudio: puente La Parroquia, vía La Renta - San Vicente de Chucurí,” Rev. UIS Ing., vol. 15, no. 2, pp. 145–159, 2016, doi: 10.18273/revuin.v15n2-2016013
[4] D. A. Rodríguez-Caro, E. Vera-López, H. M. Muñoz-Barajas, “Diseño e implementación de un sistema de adquisición y monitoreo de datos (shm) para un rectificador de protección catódica usado en ductos,” Respuestas, vol. 21, no. 1, p. 45, 2016, doi: 10.22463/0122820X.633
[5] H. G. Sánchez-Acevedo, F. R. Nova, O. A. González-Estrada, “Implementation of the Operational Modal Analysis technique in a power transmission shaft,” J. Phys. Conf. Ser., vol. 1247, p. 12032, 2019, doi: 10.1088/1742-6596/1247/1/012032
[6] J. M. Ko, Y. Q. Ni, “Technology developments in structural health monitoring of large-scale bridges,” Eng. Struct., vol. 27, pp. 1715–1725, Oct. 2005, doi: 10.1016/j.engstruct.2005.02.021
[7] F. Bakhtiari-Nejad, A. Rahai, A. Esfandiari, “A structural damage detection method using static noisy data,” Eng. Struct., vol. 27, pp. 1784–1793, Oct. 2005, doi: 10.1016/j.engstruct.2005.04.019
[8] S. A. Ardila Parra, H. G. Sánchez-Acevedo, O. A. González-Estrada, “Evaluation of damage to the lumbar spine vertebrae L5 by finite element analysis,” Respuestas, vol. 24, no. 1, pp. 50–55, 2019, doi: 10.22463/0122820X.1804
[9] H. G. Sánchez-Acevedo, D. M. C. Marulanda, E. G. Florez, “Application of vibration based damage identification techniques on metallic structures,” Adv. Mater. Res., vol. 875–877, pp. 875–879, Feb. 2014, doi: 10.4028/www.scientific.net/AMR.875-877.875
[10] H. G. Sánchez Acevedo, J. Uscátegui, S. Gómez, “Metodología para la detección de fallas en una estructura entramada metálica empleando las técnicas de análisis modal y PSO,” Rev. UIS Ing., vol. 16, no. 2, pp. 43–50, 2017, doi: 10.18273/revuin.v16n2-2017004
[11] J. M. Pachón, O. A. González-Estrada, H. G. Sánchez Acevedo, “Detección de daños en una armadura unidimensional por medio del algoritmo de optimización de la luciérnaga y elementos finitos,” Av. Investig. en Ing., vol. 13, no. 1, pp. 1–7, 2016.
[12] Y. Zou, L. Tong, G. P. Steven, “Vibration-based model-dependent damage (delamination) identification and health monitoring for composite structures — a review,” J. Sound Vib., vol. 230, no. 2, pp. 357–378, 2000, doi: 10.1006/jsvi.1999.2624
[13] C. R. R. Farrar, K. Worden, “An introduction to structural health monitoring,” Philos. Trans. R. Soc. A Math. Phys. Eng. Sci., vol. 365, no. 1851, pp. 303–315, 2007, doi: 10.1098/rsta.2006.1928
[14] M. M. M. Reda Taha, J. Lucero, “Damage identification for structural health monitoring using fuzzy pattern recognition,” Eng. Struct., vol. 27, no. 12 SPEC. ISS., pp. 1774–1783, Oct. 2005, doi: 10.1016/j.engstruct.2005.04.018
[15] A. Rytter, “Vibration Based Inspection of Civil Engineering,” Aalborg University, 1993.
[16] J. F. Schutte and A. A. Groenwold, “Sizing design of truss structures using particle swarms,” Struct. Multidiscip. Optim., vol. 25, no. 4, pp. 261–269, Oct. 2003, doi: 10.1007/s00158-003-0316-5
[17] S. M. Bland, R. K. Kapania, “Damage Identification of Plate Structures Using a Hybrid Genetic-Sensitivity Approach,” AIAA J., vol. 43, no. 2, pp. 439–442, May 2005, [Online]. Available: http://arc.aiaa.org/doi/abs/10.2514/1.3857?journalCode=aiaaj.
[18] G.-D. Zhou, T.-H. Yi, H.-N. Li, “Sensor placement optimization in structural health monitoring using cluster-in-cluster firefly algorithm,” Adv. Struct. Eng., vol. 17, no. 8, pp. 1103–1115, 2014.
[19] Á. Viviescas Jaimes, L. A. Vargas Carvajal, C. A. Riveros Jerez, “Identificación modal de un puente viga cajón usando mediciones óptimamente seleccionadas de ensayosde excitación ambiental,” Rev. UIS Ing., vol. 18, no. 2, pp. 31–40, 2019, doi: 10.18273/revuin.v18n2-2019003
[20] J. E. Laier, J. D. V Morales, “Computational Structural Engineering: Proceedings of the International Symposium on Computational Structural Engineering, held in Shanghai, China, June 22--24, 2009,” Y. Yuan, J. Cui, and H. A. Mang, Eds. Dordrecht: Springer Netherlands, 2009, pp. 833–839.
[21] M. I. I. Friswell, J. E. T. E. T. Penny, “Crack Modeling for Structural Health Monitoring,” Struct. Heal. Monit. An Int. J., vol. 1, no. 2, pp. 139–148, Jun. 2002, doi: 10.1177/1475921702001002002
[22] W. B. Krätzig, Y. S. Petryna, “Structural damage and life-time estimates by nonlinear FE simulation,” Eng. Struct., vol. 27, no. 12 SPEC. ISS., pp. 1726–1740, Oct. 2005, doi: 10.1016/j.engstruct.2005.04.015
[23] D. Hartmann, K. Smarsly, K. Law, “Coupling sensor-based structural health monitoring with finite element model updating for probabilistic lifetime estimation of wind energy converter structures,” in Proceedings of the 8th international workshop on structural health monitoring, 2011, pp. 13–15, [Online]. Available: http://www.inf.bi.uni-bochum.de/intern/aigaion/documents/smarsly2011f.pdf-b6da891bb21981e77144d6893b1a52c3.pdf
[24] K. Smarsly, K. H. Law, D. Hartmann, “Towards life-cycle management of wind turbines based on structural health monitoring,” in Proceedings of the First International Conference on Performance-based Life-cycle Structural Engineering, 2012, [Online]. Available: http://eil.stanford.edu/publications/kay_smarsly/smarsly2012d.pdf
[25] X. Yang, Nature-Inspired Metaheuristic Algorithms, 1st ed. Frome: Luniver Press, 2008.
[26] X. Yang, X. He, “Firefly algorithm: recent advances and applications,” Int. J. Swarm Intell., vol. 1, no. 1, p. 36, Aug. 2013, doi: 10.1504/IJSI.2013.055801
[27] B. H. Koh, S. J. Dyke, “Structural health monitoring for flexible bridge structures using correlation and sensitivity of modal data,” Comput. Struct., vol. 85, no. 3–4, pp. 117–130, 2007, doi: 10.1016/j.compstruc.2006.09.005.
[28] S. C. Mohan, D. K. Maiti, D. Maity, “Structural damage assessment using FRF employing particle swarm optimization,” Appl. Math. Comput., vol. 219, no. 20, pp. 10387–10400, 2013, doi: 10.1016/j.amc.2013.04.016
[29] T. Nguyen-Thoi, A. Tran-Viet, N. Nguyen-Minh, T. Vo-Duy, V. Ho-Huu, “A combination of damage locating vector method (DLV) and differential evolution algorithm (DE) for structural damage assessment,” Front. Struct. Civ. Eng., vol. 12, no. 1, pp. 92–108, 2018, doi: 10.1007/s11709-016-0379-1
[30] Z. T. Wei, J. K. Liu, Z. R. Lu, “Damage identification in plates based on the ratio of modal strain energy change and sensitivity analysis,” Inverse Probl. Sci. Eng., vol. 24, no. 2, pp. 265–283, 2016, doi: 10.1080/17415977.2015.1017489
[31] Y. Z. Fu, J. K. Liu, Z. T. Wei, Z. R. Lu, “A two-step approach for damage Identification in plates,” JVC/Journal Vib. Control, vol. 22, no. 13, pp. 3018–3031, 2016, doi: 10.1177/1077546314557689
[32] Z. Y. Shi, S. S. Law, L. M. Zhang, “Structural Damage Detection from Modal Strain Energy Change,” J. Eng. Mech., vol. 126, no. 12, pp. 1216–1223, 2000, doi: 10.1061/(ASCE)0733-9399(2000)126:12(1216)
[33] J. Xiang, M. Liang, Y. He, “Experimental investigation of frequency-based multi-damage detection for beams using support vector regression,” Eng. Fract. Mech., vol. 131, pp. 257–268, 2014, doi: 10.1016/j.engfracmech.2014.08.001
[34] D. Montgomery, Design and Analysis of Experiments, 9th ed. Hoboken, NJ: John Wiley & Sons, 2017.
[35] Y. L. Zhou, M. Abdel Wahab, “Cosine based and extended transmissibility damage indicators for structural damage detection,” Eng. Struct., vol. 141, pp. 175–183, 2017, doi: 10.1016/j.engstruct.2017.03.030