Trapezoidal sheet metal is widely used in construction due to its high strength-to-weight ratio. However, optimizing its shape for both bending stiffness and coverage area poses a significant challenge. This study focuses on optimizing the shape of trapezoidal sheet metal to achieve maximum bending stiffness and coverage area, with the constraint of fixed working length. Using Pareto front analysis, we identified the optimal shape incorporating stiffeners on the flanges and web. The dual objectives of maximizing stiffness and coverage area often conflict, making the optimization problem complex. The proper formulation and selection of optimization algorithms are crucial. We employed both global and local minimization algorithms with multistart methods to effectively explore the design space.
We utilized Pareto front analysis to balance the conflicting objectives of maximizing bending stiffness and coverage area. The shape of the sheet metal, including stiffeners on the flanges and web, was optimized using both global and local minimization algorithms. Multistart methods were applied to ensure comprehensive exploration of the design space. The optimization revealed that achieving an optimal shape for trapezoidal sheet metal requires careful consideration of the trade-offs between bending stiffness and coverage area. The Pareto front provided a range of optimal solutions, highlighting the importance of selecting appropriate algorithms for different aspects of the optimization problem.
This research demonstrates that the shape optimization of trapezoidal sheet metal is a complex yet feasible task when using advanced optimization techniques. The findings emphasize the critical role of problem formulation and algorithm selection in achieving effective results. Future work will explore further refinements in the optimization process and application to other structural components. This study provides a robust framework for engineers to optimize the design of trapezoidal sheet metal, enhancing its performance and efficiency in construction applications.