National Journal
2024 Publications - Volume 1 - Issue 1

Airo National Research Journal ISSN 2321-3914


Title
:

INNOVATIVE DESIGN FRAMEWORK FOR T-BEAM AND SLAB BRIDGES INCORPORATING ARTIFICIAL INTELLIGENCE TECHNIQUES

Submitted By
:

RUDRADEEP DAS

Subject
:

Civil Engineering

Month Of Publication
:

Janurary 2024

Abstract
:

Bridges are vital components of transportation infrastructure, facilitating movement across various geographical barriers. Traditional methods of bridge design have relied on manual calculations, but with the advent of artificial intelligence (AI) techniques, there's an opportunity to transform bridge design, particularly for T-beam and slab bridges. This study explores the integration of AI, including machine learning algorithms and optimization techniques, to enhance the efficiency and sustainability of T-beam and slab bridge design processes. The literature review showcases the significance of AI in bridge design, followed by a detailed methodology involving finite element analysis (FEM) to compare conventional and AI-driven design approaches. Results indicate significant improvements in bending moments, shear forces, and deflections for T-beam configurations, highlighting the potential of AI in optimizing bridge design parameters.