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Vafaei Poursorkhabi, Ramin, Angardi, Shahram, Zarean, Ahmad. (1403). Seismic Analysis of Sediments in the Tabriz Plain Using Metaheuristic Algorithms and Shear Wave Velocity Modeling. , 2(2), 58-68. doi: 10.22077/jgm.2025.8356.1038
Ramin Vafaei Poursorkhabi; Shahram Angardi; Ahmad Zarean. "Seismic Analysis of Sediments in the Tabriz Plain Using Metaheuristic Algorithms and Shear Wave Velocity Modeling". , 2, 2, 1403, 58-68. doi: 10.22077/jgm.2025.8356.1038
Vafaei Poursorkhabi, Ramin, Angardi, Shahram, Zarean, Ahmad. (1403). 'Seismic Analysis of Sediments in the Tabriz Plain Using Metaheuristic Algorithms and Shear Wave Velocity Modeling', , 2(2), pp. 58-68. doi: 10.22077/jgm.2025.8356.1038
Vafaei Poursorkhabi, Ramin, Angardi, Shahram, Zarean, Ahmad. Seismic Analysis of Sediments in the Tabriz Plain Using Metaheuristic Algorithms and Shear Wave Velocity Modeling. , 1403; 2(2): 58-68. doi: 10.22077/jgm.2025.8356.1038

Seismic Analysis of Sediments in the Tabriz Plain Using Metaheuristic Algorithms and Shear Wave Velocity Modeling

Journal of Geomine
دوره 2، شماره 2، شهریور 2024، صفحه 58-68    اصل مقاله (1.62 M)
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.22077/jgm.2025.8356.1038
نویسندگان
Ramin Vafaei Poursorkhabi* 1؛ Shahram Angardi2؛ Ahmad Zarean3
1Mojtame Daneshgahe azad tabriz
2Department of Civil Engineering, Tabriz Branch, Islamic Azad University, Tabriz, Iran
3Department of Civil Engineering, Shabestar Branch, Islamic Azad University, Shabestar, Iran
چکیده
Surface waves are a cornerstone of geophysical studies for deriving shear wave velocity profiles. Inverting dispersion curves, however, poses a significant challenge for traditional local search methods due to the problem’s nonlinearity and the objective function’s multiple extrema. This study introduces a metaheuristic approach Ant Colony Optimization (ACO) implemented in MATLAB to tackle these complexities. The algorithm’s effectiveness was assessed using synthetic datasets, testing three distinct six-layer models with varying shear wave velocities, compressional wave velocities, and layer thicknesses, assuming a variable Poisson’s ratio and constant density. Compared to the neighborhood algorithm in Geopsy software, ACO exhibited superior reliability and computational efficiency. The method was further validated using an experimental dispersion curve from the Tabriz Plain, yielding results closely aligned with borehole data. Subsequently, a two-dimensional shear wave velocity model was constructed for the study area based on these inversion outcomes. This work underscores the promise of metaheuristic optimization techniques in enhancing the accuracy and robustness of surface wave dispersion curve inversion.
کلیدواژه‌ها
Metaheuristic optimization؛ neighborhood algorithm؛ surface waves؛ dispersion curve inversion
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تعداد مشاهده مقاله: 356
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