Framework for a simulation-based aerodynamic shape optimization of bridge decks for different limit state phenomena

TL;DR

This paper presents a CFD-based aerodynamic shape optimization framework for bridge decks, incorporating aeroelastic phenomena and using response surface strategies and particle swarm optimization to improve bridge performance.

Contribution

It introduces a novel optimization framework combining CFD, response surface methods, and particle swarm optimization for aerodynamic bridge deck design.

Findings

Optimized bridge deck shapes outperform reference sections in aerodynamic performance.

The framework effectively considers flutter, buffeting, and Vortex-induced Vibrations.

Potential for improved long-span bridge design efficiency.

Abstract

Wind-induced response governs the design of the long-span bridges. The shape of the deck is one of the most important factors that not only affects the mechanical properties but greatly influences the aerodynamic performance of the bridge. An efficient framework is proposed to perform aerodynamic shape optimization of a bridge deck using Computational Fluid Dynamics (CFD) simulations and response surface strategies considering aeroelastic phenomena such as flutter, buffeting and Vortex-induced Vibrations (VIV). A parameterized cross section of the deck has been utilized ensuring required carriageway width and structural demand. The Particle swarm optimization algorithm has been employed which leads to an optimized shape that performs better as compared to the reference section. The presented aerodynamic shape optimization framework has a great potential to be used in the design of long-span bridges.