Author(s): Angelica Lizbeth Alvarez Mejia; Humberto Salinas Tapia; Carlos Diaz Delgado; Juan Manuel Becerril Lara; Juan Antonio Garcia Aragon; Jesus Ramiro Felix Felix
Linked Author(s): Juan Antonio Garcia Aragon, Humberto Salinas Tapia
Keywords: Genetic Algorithm (GA) Computational Fluid Dynamics (CFD) Local Scour Optimization
Abstract: This project integrates a Genetic Algorithm (GA) with Computational Fluid Dynamics (CFD) simulations in a two-dimensional environment using the Iber software, aiming to minimize local scour around bridge piers. Artificial roughness is introduced on the pier walls, and its configuration is optimized through the GA. The methodology combines a systematic exploration of the solution space with the evaluation of each configuration's effectiveness using hydraulic coefficients as performance metrics. This innovative approach seeks to enhance the structural stability of hydraulic infrastructure and efficiently manage risks associated with local scour.
Year: 2025