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  4. Effect of Signal Filtering on Metaheuristic-Based Structural Parameter Identification in Shear Building Models
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Effect of Signal Filtering on Metaheuristic-Based Structural Parameter Identification in Shear Building Models

Journal
Civil Engineering Journal
ISSN
2476-3055
2676-6957
Publisher
Ital Publication
Date Issued
2025-06-01
Author(s)
Jaime De-la-Colina
Jesús Valdés-González
Type
journal-article
DOI
10.28991/CEJ-2025-011-06-04
URL
https://scripta.up.edu.mx/handle/20.500.12552/12719
Abstract
This study evaluates the effectiveness of three metaheuristic algorithms—Genetic Algorithm (GA), Differential Evolution (DE), and Particle Swarm Optimization (PSO)—for identifying lateral interstory stiffness and the modal damping ratio in two-dimensional shear building models. The main objective is to estimate these parameters using time-domain displacement, velocity, and acceleration data, assuming known floor masses and unknown input excitation that primarily excites translational vibration modes. Three structural configurations with 2, 3, and 5 stories are analyzed to assess the scalability and robustness of each algorithm. To assess the effect of signal filtering on the performance of the algorithms, white noise is added to the synthetic response data at six levels ranging from 0% to 5% of the root mean square (RMS) amplitude. A sixth-order Butterworth filter is applied to evaluate the effect of signal preprocessing, and results obtained with and without filtering are compared. The results show that all three algorithms achieve acceptable levels of accuracy, even under noisy conditions. Filtering consistently improves identification accuracy, especially in high-noise conditions. In the most challenging case (5% noise, 5-story model), the average identification errors were 5.042% for GA, 5.106% for DE, and 5.035% for PSO. The findings underscore the practical value of integrating signal filtering with metaheuristic optimization for robust structural system identification in noise-contaminated environments. To account for the random nature of the algorithms, all results reported correspond to the average of 10 independent runs per identification scenario to ensure reliable performance evaluation.
Subjects

Metaheuristic Algorit...

Genetic Algorithm

Differential Evoluti...

Particle Swarm Opti...

Structural Parameter ...

Shear Buildings

Butterworth Filter

Lateral Interstory St...

Damping Identificatio...

License
Acceso Abierto.
URL License
https://creativecommons.org/licenses/by/4.0/
How to cite
González-Pérez, C. A., De-la-Colina, J., & Valdés-González, J. (2025). Effect of Signal Filtering on Metaheuristic-Based Structural Parameter Identification in Shear Building Models. Civil Engineering Journal, 11(6), 2231–2254. https://doi.org/10.28991/CEJ-2025-011-06-04
Table of contents
1.Introduction -- 2.Literature Review -- 3.Problem Formulation -- 4.Description of Metaheuristic Algorithms -- 5.Building Models and Input Forces -- 6.Results and Discussion -- 7.Conclusions.

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