## Abstract

Original language | English |
---|---|

Journal | Case Studies in Construction Materials |

Volume | 17 |

DOIs | |

Publication status | Published - 2022 |

## Keywords

- 2D and 3D complex truss structures
- African Vulture Optimization algorithm
- Artificial Gorilla Troops Optimizer
- Damage detection
- DOA
- Frequency response function
- GBO
- Inverse problem
- Frequency response
- Inverse problems
- Nondestructive examination
- Numerical methods
- Shape optimization
- Trusses
- 2d and 3d complex truss structure
- African vulture optimization algorithm
- Artificial gorilla troop optimizer
- Dingo optimization algorithm
- Frequency response functions
- Gradient-based optimizers
- Optimization algorithms
- Optimizers
- Truss structure

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*Case Studies in Construction Materials*,

*17*. https://doi.org/10.1016/j.cscm.2022.e01197

**A robust FRF damage indicator combined with optimization techniques for damage assessment in complex truss structures : Case Studies in Construction Materials**. In: Case Studies in Construction Materials. 2022 ; Vol. 17.

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*Case Studies in Construction Materials*, vol. 17. https://doi.org/10.1016/j.cscm.2022.e01197

**A robust FRF damage indicator combined with optimization techniques for damage assessment in complex truss structures: Case Studies in Construction Materials.**/ Khatir, S.; Tiachacht, S.; Thanh, C.-L. et al.

In: Case Studies in Construction Materials, Vol. 17, 2022.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - A robust FRF damage indicator combined with optimization techniques for damage assessment in complex truss structures

T2 - Case Studies in Construction Materials

AU - Khatir, S.

AU - Tiachacht, S.

AU - Thanh, C.-L.

AU - Tran-Ngoc, H.

AU - Mirjalili, S.

AU - Abdel Wahab, M.

N1 - Cited By :1 Export Date: 11 July 2022 Correspondence Address: Abdel Wahab, M.; Faculty of Mechanical - Electrical and Computer Engineering, Viet Nam; email: magd.a.w@vlu.edu.vn Funding details: Universiteit Gent Funding details: Quỹ Đổi mới sáng tạo Vingroup, VINIF, DA00192 Funding text 1: The first author acknowledges the funding of the postdoctoral fellowship BOF20/PDO/045 provided by Bijzonder Onderzoeksfonds (BOF), Ghent University. This work is also funded by Vingroup and supported by Innovation Foundation (VINIF) under project code VINIF.2021. DA00192. The authors wish to express their gratitude to Van Lang University, Vietnam for financial support for this research. 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Eng., 30 (5), pp. 347-358; Khatir, S., Belaidi, I., Khatir, T., Hamrani, A., Zhou, Y.-L., Abdel Wahab, M., Multiple damage detection in composite beams using particle swarm optimization and genetic algorithm (2017) Mechanika, 23 (4), pp. 514-521; Khatir, S., Belaidi, I., Serra, R., Wahab, M.A., Khatir, T., Damage detection and localization in composite beam structures based on vibration analysis (2015) Mechanics, 21 (6), pp. 472-479; Nobahari, M., Seyedpoor, S.M., An efficient method for structural damage localization based on the concepts of flexibility matrix and strain energy of a structure (2013) Struct. Eng. Mech., 46 (2), pp. 231-244; Hwang, H., Kim, C., Damage detection in structures using a few frequency response measurements (2004) J. Sound Vib., 270 (1-2), pp. 1-14; Pandey, A., Biswas, M., Damage detection in structures using changes in flexibility (1994) J. Sound Vib., 169 (1), pp. 3-17; Zenzen, R., Belaidi, I., Khatir, S., Wahab, M.A., A damage identification technique for beam-like and truss structures based on FRF and Bat Algorithm (2018) Comptes Rendus Mécanique, 346 (12), pp. 1253-1266; Cuong-Le, T., Nghia-Nguyen, T., Khatir, S., Trong-Nguyen, P., Mirjalili, S., Nguyen, K.D., An efficient approach for damage identification based on improved machine learning using PSO-SVM (2021) Eng. Comput., pp. 1-16; Seyedpoor, S.M., Nopour, M.H., A two-step method for damage identification in moment frame connections using support vector machine and differential evolution algorithm (2020) Appl. Soft Comput., 88; Le-Duc, T., Nguyen, Q.-H., Nguyen-Xuan, H., Balancing composite motion optimization (2020) Inf. Sci., 520, pp. 250-270; Khatir, S., Tiachacht, S., Le Thanh, C., Ghandourah, E., Mirjalili, S., Wahab, M.A., An improved artificial neural network using arithmetic optimization algorithm for damage assessment in FGM composite plates (2021) Compos. Struct., 273; Ding, Z., Fu, K., Deng, W., Li, J., Zhongrong, L., A modified Artificial Bee Colony algorithm for structural damage identification under varying temperature based on a novel objective function (2020) Appl. Math. Model., 88, pp. 122-141; Chen, Z.-P., Yu, L., A novel PSO-based algorithm for structural damage detection using Bayesian multi-sample objective function (2017) Struct. Eng. Mech., 63 (6), pp. 825-835; Rao, S.S., The Finite Element Method In Engineering (2017), Butterworth-heinemann; Kaveh, A., Zolghadr, A., Topology optimization of trusses considering static and dynamic constraints using the CSS (2013) Appl. Soft Comput., 13 (5), pp. 2727-2734. , 2013/05/01/; Tejani, G.G., Savsani, V.J., Bureerat, S., Patel, V.K., Savsani, P., Topology optimization of truss subjected to static and dynamic constraints by integrating simulated annealing into passing vehicle search algorithms (2019) Eng. Comput., 35 (2), pp. 499-517. , 2019/04/01; Hwang, H.Y., Kim, C., Damage detection in structures using a few frequency response measurements (2004) J. Sound Vib., 270 (1), pp. 1-14. , 2004/02/06/; Zenzen, R., Belaidi, I., Khatir, S., Abdel Wahab, M., A damage identification technique for beam-like and truss structures based on FRF and Bat Algorithm (2018) Comptes Rendus Mécanique, 346 (12), pp. 1253-1266. , 2018/12/01/; Mohan, S.C., Yadav, A., Kumar Maiti, D., Maity, D., A comparative study on crack identification of structures from the changes in natural frequencies using GA and PSO (2014) Eng. Comput., 31 (7), pp. 1514-1531; Kaveh, A., Ghazaan, M.I., Hybridized optimization algorithms for design of trusses with multiple natural frequency constraints (2015) Adv. Eng. Softw., 79, pp. 137-147. , 2015/01/01/; Lieu, Q.X., Do, D.T.T., Lee, J., An adaptive hybrid evolutionary firefly algorithm for shape and size optimization of truss structures with frequency constraints (2018) Comput. Struct., 195, pp. 99-112. , 2018/01/15/; Nguyen-Van, S., Nguyen, K.T., Luong, V.H., Lee, S., Lieu, Q.X., A novel hybrid differential evolution and symbiotic organisms search algorithm for size and shape optimization of truss structures under multiple frequency constraints (2021) Expert Syst. Appl., 184. , 2021/12/01/; Kaveh, A., Zolghadr, A., Truss optimization with natural frequency constraints using a hybridized CSS-BBBC algorithm with trap recognition capability (2012) Comput. Struct., 102-103, pp. 14-27. , 2012/07/01/; Jalili, S., Hosseinzadeh, Y., Combining migration and differential evolution strategies for optimum design of truss structures with dynamic constraints (2019) Iran. J. Sci. Technol., Trans. Civ. Eng., 43 (1), pp. 289-312. , 2019/07/01; Kaveh, A., Hamedani, K.B., Kamalinejad, M., An enhanced Forensic-based investigation algorithm and its application to optimal design of frequency-constrained dome structures (2021) Comput. Struct., 256. , 2021/11/01/; Kaveh, A., Zolghadr, A., Optimal design of cyclically symmetric trusses with frequency constraints using cyclical parthenogenesis algorithm (2018) Adv. Struct. Eng., 21 (5), pp. 739-755; Kaveh, A., Javadi, S.M., Chaos-based firefly algorithms for optimization of cyclically large-size braced steel domes with multiple frequency constraints (2019) Comput. Struct., 214, pp. 28-39. , 2019/04/01/; Benyamin, A., Farhad, S., Seyedali, M., Artificial gorilla troops optimizer: A new nature-inspired metaheuristic algorithm for global optimization problems (2021) International Journal of Intelligent Systems, 36 (10), pp. 5887-5958; Benyamin, A., Farhad, S.G., Seyedali, M., African vultures optimization algorithm: A new nature-inspired metaheuristic algorithm for global optimization problems (2021) Computers & Industrial Engineering, 158, p. 107408; Iman, A., Omid, B.-H., Xuefeng, C., Gradient-based optimizer: A new metaheuristic optimization algorithm (2020) Information Sciences, 540, pp. 131-159; Hernán, P.-V., Adrián F., P.-D., Gustavo, E.-C., Ana Beatriz, M.-C., Jonás, V.-Á., Fernando, R.-P., A Bio-Inspired Method for Engineering Design Optimization Inspired by Dingoes Hunting Strategies (2021) Mathematical Problems in Engineering, pp. 1-19

PY - 2022

Y1 - 2022

N2 - Vibration-based damage detection tools are frequently employed because of their advantages over other non-destructive techniques. This paper presents an improved Frequency Response Function (FRF) indicator for damage identification in complex structures. To verify the effectiveness of the improved damage indicator, different structures are used, namely a 20-Bar Planar Truss (2D), a 28-Bar Space Truss (3D), a 72-Bar Space Truss, and a 600-bar Space Truss. The numerical models of all these structures are built in MATLAB using Finite Element Method (FEM). The improved indicator detects and localises single and multiple damages in the first stage. Next, after eliminating the healthy elements, it is used in a new objective function to solve the damage quantification problem using recent optimization techniques, including Artificial Gorilla Troops Optimizer (GTO), Dingo Optimization Algorithm (DOA), African Vulture Optimization algorithm (AVOA), and Gradient-Based Optimizer (GBO). The results demonstrate that all optimization techniques can accurately predict the exact level of damage. However, GTO is the most efficient in terms of convergence. To study the effectiveness of this indicator in case of noisy data, different levels of noise are considered in the damage assessment exercises. © 2022 The Authors

AB - Vibration-based damage detection tools are frequently employed because of their advantages over other non-destructive techniques. This paper presents an improved Frequency Response Function (FRF) indicator for damage identification in complex structures. To verify the effectiveness of the improved damage indicator, different structures are used, namely a 20-Bar Planar Truss (2D), a 28-Bar Space Truss (3D), a 72-Bar Space Truss, and a 600-bar Space Truss. The numerical models of all these structures are built in MATLAB using Finite Element Method (FEM). The improved indicator detects and localises single and multiple damages in the first stage. Next, after eliminating the healthy elements, it is used in a new objective function to solve the damage quantification problem using recent optimization techniques, including Artificial Gorilla Troops Optimizer (GTO), Dingo Optimization Algorithm (DOA), African Vulture Optimization algorithm (AVOA), and Gradient-Based Optimizer (GBO). The results demonstrate that all optimization techniques can accurately predict the exact level of damage. However, GTO is the most efficient in terms of convergence. To study the effectiveness of this indicator in case of noisy data, different levels of noise are considered in the damage assessment exercises. © 2022 The Authors

KW - 2D and 3D complex truss structures

KW - African Vulture Optimization algorithm

KW - Artificial Gorilla Troops Optimizer

KW - Damage detection

KW - DOA

KW - Frequency response function

KW - GBO

KW - Inverse problem

KW - Frequency response

KW - Inverse problems

KW - Nondestructive examination

KW - Numerical methods

KW - Shape optimization

KW - Trusses

KW - 2d and 3d complex truss structure

KW - African vulture optimization algorithm

KW - Artificial gorilla troop optimizer

KW - Dingo optimization algorithm

KW - Frequency response functions

KW - Gradient-based optimizers

KW - Optimization algorithms

KW - Optimizers

KW - Truss structure

U2 - 10.1016/j.cscm.2022.e01197

DO - 10.1016/j.cscm.2022.e01197

M3 - Article

SN - 2214-5095

VL - 17

JO - Case Studies in Construction Materials

JF - Case Studies in Construction Materials

ER -