Parametric Design and Optimization of Reciprocal Frame Bridges

This study explores parametric design and optimization to improve a reciprocal frame bridge’s structural efficiency while preserving its historical and architectural significance. The research aims to identify an optimal configuration that minimizes steel requirements for a self-supported bridge while satisfying structural requirements. This objective was achieved by modifying the bridge’s geometrical parameters using a genetic algorithm for mono-objective optimization. A finite element structural analysis was conducted to evaluate the maximum stress in the material, with a penalty function used to ensure structural safety. The parametric design software allowed for efficient and precise optimization of the bridge design. The results demonstrate that the proposed optimization method reduces material usage while maintaining the bridge’s structural integrity, validating the approach’s effectiveness for future design of reciprocal frame bridges.