Performance Evaluation of an Extradosed Cable-Stayed Bridge with Corrugated Web based on Machine Learning Algorithms

Abstract

Corrugated steel web is suitable for large-span extradosed cable-stayed bridge's design scheme. Live Load Structural Index (LLSI) is applied to evaluate the performance of the bridge with corrugated steel web. Parametric numeric models were built and investigated to explore the web height and weight's effect on the structural performance of an extradosed cable-stayed bridge. Machine learning model involving Particle Swarm Optimization BP neural network has been constructed to predict the correlation and validate the relationship between the structural variable and live load structural index.