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Seismic Optimization of Steel Mega‐Braced Frame With Improved Prairie Dog Metaheuristic Optimization Algorithm
https://orcid.org/0000-0001-8923-7343
ABSTRACTA mega‐braced frame is one of the well‐known structural systems used in tall buildings to resist lateral forces, which is composed of networks of diagonal braces and structural elements strategically placed within the building's frame to enhance its stiffness and stability. Determining the optimal angle of mega bracing in buildings presents challenges due to complex structural considerations, such as lateral load distribution, ensuring compatibility with building geometry and layout, and optimizing the overall structural efficiency while maintaining seismic integrity. For this purpose, a novel approach is proposed in this study for seismic optimization of steel mega‐braced frames by employing an enhanced version of the prairie dog optimization (PDO) algorithm as one of the recently proposed metaheuristic algorithms. The new improved version of this algorithm called I‐PDO is developed based the Levy flight concept, whereas the conventional Brownian randomization is replaced by Levy flight in the main search loop of the algorithm. For numerical investigations, a 10‐story, 1‐bay, and a 24‐story, 5‐bay, frame structures are considered. An optimization problem is developed based on the topology optimization of the mega bracing system, whereas a size optimization is also conducted for optimal determination of the design sections for structural elements. For comparative investigations, some of the well‐known metaheuristics are also used for performance evaluation of the I‐PDO in dealing with the structural optimization problems. The results demonstrate the capability of the I‐PDO in providing better optimization results in dealing with the topology and size optimization of the mega‐braced frame structures.
Seismic Optimization of Steel Mega‐Braced Frame With Improved Prairie Dog Metaheuristic Optimization Algorithm
https://orcid.org/0000-0001-8923-7343
ABSTRACTA mega‐braced frame is one of the well‐known structural systems used in tall buildings to resist lateral forces, which is composed of networks of diagonal braces and structural elements strategically placed within the building's frame to enhance its stiffness and stability. Determining the optimal angle of mega bracing in buildings presents challenges due to complex structural considerations, such as lateral load distribution, ensuring compatibility with building geometry and layout, and optimizing the overall structural efficiency while maintaining seismic integrity. For this purpose, a novel approach is proposed in this study for seismic optimization of steel mega‐braced frames by employing an enhanced version of the prairie dog optimization (PDO) algorithm as one of the recently proposed metaheuristic algorithms. The new improved version of this algorithm called I‐PDO is developed based the Levy flight concept, whereas the conventional Brownian randomization is replaced by Levy flight in the main search loop of the algorithm. For numerical investigations, a 10‐story, 1‐bay, and a 24‐story, 5‐bay, frame structures are considered. An optimization problem is developed based on the topology optimization of the mega bracing system, whereas a size optimization is also conducted for optimal determination of the design sections for structural elements. For comparative investigations, some of the well‐known metaheuristics are also used for performance evaluation of the I‐PDO in dealing with the structural optimization problems. The results demonstrate the capability of the I‐PDO in providing better optimization results in dealing with the topology and size optimization of the mega‐braced frame structures.
Seismic Optimization of Steel Mega‐Braced Frame With Improved Prairie Dog Metaheuristic Optimization Algorithm
https://orcid.org/0000-0001-8923-7343
ABSTRACTA mega‐braced frame is one of the well‐known structural systems used in tall buildings to resist lateral forces, which is composed of networks of diagonal braces and structural elements strategically placed within the building's frame to enhance its stiffness and stability. Determining the optimal angle of mega bracing in buildings presents challenges due to complex structural considerations, such as lateral load distribution, ensuring compatibility with building geometry and layout, and optimizing the overall structural efficiency while maintaining seismic integrity. For this purpose, a novel approach is proposed in this study for seismic optimization of steel mega‐braced frames by employing an enhanced version of the prairie dog optimization (PDO) algorithm as one of the recently proposed metaheuristic algorithms. The new improved version of this algorithm called I‐PDO is developed based the Levy flight concept, whereas the conventional Brownian randomization is replaced by Levy flight in the main search loop of the algorithm. For numerical investigations, a 10‐story, 1‐bay, and a 24‐story, 5‐bay, frame structures are considered. An optimization problem is developed based on the topology optimization of the mega bracing system, whereas a size optimization is also conducted for optimal determination of the design sections for structural elements. For comparative investigations, some of the well‐known metaheuristics are also used for performance evaluation of the I‐PDO in dealing with the structural optimization problems. The results demonstrate the capability of the I‐PDO in providing better optimization results in dealing with the topology and size optimization of the mega‐braced frame structures.
Seismic Optimization of Steel Mega‐Braced Frame With Improved Prairie Dog Metaheuristic Optimization Algorithm
Structural Design Tall Build
PayamiFar, Tohid (author) / Sojoudizadeh, Reza (author) / Azizian, Hadi (author) / Rahimi, Loghman (author)
2025-02-25
Article (Journal)
Electronic Resource
English
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