A Two-Stage Approach to Solve Structural Damage Detection Problem in Plate Structures

Belhadj, Kamel; Guedria, Najeh Ben; Helali, Ali; Bouraoui, Chokri

doi:10.1007/978-3-030-84958-0_7

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…Besides, Negri et al obtained the natural frequencies and mode shapes by using the simulational model updating method that utilized PSO optimization [9]. In [10], the researchers used an improved PSO algorithm with a two-stage optimization approach to efficiently accelerate particle swarm optimization (EAPSO) for estimating the localization and quantification of the damaged elements in plate structures. Meanwhile, Wang et al utilized PSO optimization to calculate the optimum combination of parameters of arc length for the curve interpolation method for interpolating the stress field of a wind tunnel flexible plate [11].…”

Section: Introductionmentioning

confidence: 99%

Implementation of Evolutionary Algorithms to Parametric Identification of Gradient Flexible Plate Structure

Jamali,

Hassan,

Roslan

et al. 2023

Int. J. Automot. Mech. Eng.

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This paper focused on modelling of a gradient flexible plate system utilizing an evolutionary algorithm, namely particle swarm optimization (PSO) and cuckoo search (CS) algorithm. A square aluminium plate experimental rig with a gradient of 30° and all edges clamped were designed and fabricated to acquire input-output vibration data experimentally. This input-output data was then applied in a system identification method, which used an evolutionary algorithm with a linear autoregressive with exogenous (ARX) model structure to generate a dynamic model of the system. The obtained results were then compared with the conventional method that is recursive least square (RLS). The developed models were evaluated based on the lowest mean square error (MSE), within the 95% confidence level of both auto and cross-correlation tests as well as high stability in the pole-zero diagram. Investigation of results indicates that both evolutionary algorithms provide lower MSE than RLS. It is demonstrated that intelligence algorithms, PSO and CS outperformed the conventional algorithm by 85% and 89%, respectively. However, in terms of the overall assessment, model order 4 by the CS algorithm was selected to be the ideal model in representing the dynamic modelling of the system since it had the lowest MSE value, which fell inside the 95% confidence threshold, indicating unbiasedness and stability.

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Section: Introductionmentioning

confidence: 99%

Implementation of Evolutionary Algorithms to Parametric Identification of Gradient Flexible Plate Structure

Jamali,

Hassan,

Roslan

et al. 2023

Int. J. Automot. Mech. Eng.

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Damage assessment in plate structures using an enhanced Jaya algorithm

Belhadj,

Helali,

Guedria

et al. 2024

Engineering Optimization

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Structural Damage Localization in Plates Using Global and Local Modal Strain Energy Method

Nguyen

et al. 2022

Advances in Civil Engineering

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This paper presents an improvement to the modal strain energy (MSE) method for identifying structural damages in plate-type structures. A two-step MSE-based damage localization procedure, including a global step and a local step, is newly proposed to enhance the accuracy of detecting the location of structural damage. Firstly, the global step uses the mode shape data on the whole plate to locate the potentially damaged areas. Then, MSE is applied with a more dense mesh size on these local areas to detect damage in more detail. The proposed procedure’s feasibility is verified by analyzing an aluminum plate with various damaged scenarios. This study uses finite element analysis to acquire the plate's natural frequencies and mode shapes in intact and damaged states. A set of two damage detection capacity indicators are also newly presented to evaluate the precision of the proposed procedure. The diagnostic results demonstrate that the proposed approach uses less modal data than the original MSE method and accurately identifies the damage's locations in the plates with various edge conditions. Moreover, the combination of three first mode shapes and a damage threshold of 40% of the maximum normalized damage index gives the best results of damage localization.

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A Two-Stage Approach to Solve Structural Damage Detection Problem in Plate Structures

Cited by 3 publications

References 10 publications

Implementation of Evolutionary Algorithms to Parametric Identification of Gradient Flexible Plate Structure

Implementation of Evolutionary Algorithms to Parametric Identification of Gradient Flexible Plate Structure

Damage assessment in plate structures using an enhanced Jaya algorithm

Structural Damage Localization in Plates Using Global and Local Modal Strain Energy Method

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