Enhancing transmission type frame structures: A BBO algorithm-based integrated design approach

Area of Science:

• Structural Engineering
• Optimization Algorithms
• Power Systems Infrastructure

Background:

• Stable operation of transmission lines is vital for grid functionality.
• Existing optimization methods for structural design may not be comprehensive.
• Transmission line crossing frames require robust and efficient structural designs.

Purpose of the Study:

• To introduce a comprehensive optimization design method for transmission line crossing frame structures.
• To integrate size, shape, and topology optimization using the Biogeography-Based Optimization (BBO) algorithm.
• To enhance the economic viability, practicality, and performance of these structures.

Main Methods:

• Utilized the Biogeography-Based Optimization (BBO) algorithm for structural design.
• Integrated size, shape, and topology optimization into a single framework.
• Validated the optimization process and structural compliance using finite element analysis.

Main Results:

• The integrated optimization approach yielded the lightest structure mass compared to individual optimization methods.
• Achieved a maximum stress of 151.4 MPa under construction conditions, satisfying strength criteria.
• Confirmed compliance with stiffness and stability requirements, demonstrating method feasibility.

Conclusions:

• The integrated size, shape, and topology optimization method is effective and practical for transmission line structures.
• This approach offers a superior alternative to traditional optimization techniques for complex structural challenges.
• The optimized structures contribute to enhanced performance and sustainable utilization in power grid infrastructure.