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Ghadimi, Mostafa. (1402). Optimization of the load transfer mechanism of fully grouted rock bolts by using numerical modeling, genetic and PSO algorithms. , 1(3), 144-149. doi: 10.22077/jgm.2024.7386.1021
Mostafa Ghadimi. "Optimization of the load transfer mechanism of fully grouted rock bolts by using numerical modeling, genetic and PSO algorithms". , 1, 3, 1402, 144-149. doi: 10.22077/jgm.2024.7386.1021
Ghadimi, Mostafa. (1402). 'Optimization of the load transfer mechanism of fully grouted rock bolts by using numerical modeling, genetic and PSO algorithms', , 1(3), pp. 144-149. doi: 10.22077/jgm.2024.7386.1021
Ghadimi, Mostafa. Optimization of the load transfer mechanism of fully grouted rock bolts by using numerical modeling, genetic and PSO algorithms. , 1402; 1(3): 144-149. doi: 10.22077/jgm.2024.7386.1021

Optimization of the load transfer mechanism of fully grouted rock bolts by using numerical modeling, genetic and PSO algorithms

Journal of Geomine
دوره 1، شماره 3، آذر 2023، صفحه 144-149    اصل مقاله (430.91 K)
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.22077/jgm.2024.7386.1021
نویسنده
Mostafa Ghadimi*
Impasco
چکیده
Many parameters such as hole diameter, thickness and bonding properties, mechanical properties of the rock mass, grout and rock bolts, profile bolt properties and pre-tension influence the load transfer mechanism of the grouted rock bolt. The author has been studying and reviewing the field of fully grouted rock bolts for more than 17 years and has published several articles in this field. Therefore, one of the most important goals of the author is to use statistical software and algorithms in the field of his previous studies. The purpose of this research was to optimize the load transfer mechanism of fully grouted rock bolts by using numerical modeling and genetic and PSO algorithms. For this purpose, ANSYS, SPSS and MATLAB software have been used in this research. Five types of rock bolts are used with different profiles. The rock bolts are modeled by ANSYS software, and then the results are defined by SPSS software using multiple regression as a linear relationship. Finally, using genetic and PSO algorithms, the load transfer mechanism of bolts has been investigated. The results showed that with the increase in profile down width, the load transfer mechanism increased and with the increase in thickness of the grout, the load transfer mechanism increased.
کلیدواژه‌ها
Load Transfer Mechanism؛ numerical modeling؛ Genetic؛ PSO
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تعداد مشاهده مقاله: 124
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