Multiple damage detection in composite beams using Particle Swarm Optimization and Genetic Algorithm

Khatir, Samir; Belaidi, Idir; Khatir, Tawfiq; Hamrani, Abderrachid; Zhou, Yunlai; Wahab, Magd Abdel

doi:10.5755/j01.mech.23.4.15254

Cited by 11 publications

(6 citation statements)

References 20 publications

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“…The presented approach could detect the location and level of affected elements correctly. Khatir et al [9,10] presented different algorithms to detect the location and level of damaged elements in composite beams. Inverse problem was based on frequencies and mode shapes using different optimization techniques for scenarios of single and multiple damages.…”

Section: Introductionmentioning

confidence: 99%

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

Khatir

Tiachacht

Cuong-Le

et al. 2022

Case Studies in Construction Materials

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Section: Introductionmentioning

confidence: 99%

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

Khatir

Tiachacht

Cuong-Le

et al. 2022

Case Studies in Construction Materials

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“…The proposed method can be used even in the situation when incomplete modal data is available. In the optimization processes of dynamic problems, apart from the PSO algorithm, a genetic algorithm (GA) or its modifications are also often used [7,8]. In paper [9], an optimized regression model was developed to determine the damping coefficient of a cantilever beam.…”

Section: Introductionmentioning

confidence: 99%

“…The obtained numerical results were verified by the experimental results. The problem of identifying cracks in a cantilever beam using both the PSO and GA algorithms is presented in tthe manuscript [8]. Based on the eigenfrequencies of the beam and the mode shape, the objective function was determined.…”

Section: Introductionmentioning

confidence: 99%

Bulletin of the Polish Academy of Sciences: Technical Sciences

Cekus,

Kwiatoń,

Šofer

et al. 2022

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The article presents the process of identifying discrete-continuous models with the use of heuristic algorithms. A stepped cantilever beam was used as an example of a discrete-continuous model. The theoretical model was developed based on the formalism of Lagrange multipliers and the Timoshenko theory. Based on experimental research, the theoretical model was validated and the optimization problem was formulated. Optimizations were made for two algorithms: genetic (GA) and particle swarm (PSO). The minimization of the relative error of the obtained experimental and numerical results was used as the objective function. The performed process of identifying the theoretical model can be used to determine the eigenfrequencies of models without the need to conduct experimental tests. The presented methodology regarding the parameter identification of the beams with the variable cross-sectional area (according to the Timosheno theory) with additional discrete components allows us to solve similar problems without the need to exit complex patterns.

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“…Model-based techniques have been traditionally applied in the field of civil engineering [12][13][14][15][16][17][18]. They employ computational models that incorporate the physics of the system, including geometry, material properties, and boundary conditions.…”

Section: Introductionmentioning

confidence: 99%

Bearing assessment tool for longitudinal bridge performance

Fernández-Navamuel

Zamora-Sánchez

Alvear

et al. 2020

J Civil Struct Health Monit

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This work provides an unsupervised learning approach based on a single-valued performance indicator to monitor the global behavior of critical components in a viaduct, such as bearings. We propose an outlier detection method for longitudinal displacements to assess the behavior of a singular asymmetric prestressed concrete structure with a 120 m high central pier acting as a fixed point. We first show that the available long-term horizontal displacement measurements recorded during the undamaged state exhibit strong correlations at the different locations of the bearings. Thus, we combine measurements from four sensors to design a robust performance indicator that is only weakly affected by temperature variations after the application of principal component analysis. We validate the method and show its efficiency against false positives and negatives using several metrics: accuracy, precision, recall, and F1 score. Due to its unsupervised learning scope, the proposed technique is intended to serve as a real-time supervision tool that complements maintenance inspections. It aims to provide support for the prioritization and postponement of maintenance actions in bridge management.

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Multiple damage detection in composite beams using Particle Swarm Optimization and Genetic Algorithm

Cited by 11 publications

References 20 publications

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

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

Bulletin of the Polish Academy of Sciences: Technical Sciences

Bearing assessment tool for longitudinal bridge performance

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