An ensemble model based on relevance vector machine and multi-objective salp swarm algorithm for predicting burst pressure of corroded pipelines

Burst pressure is the key to the design of pressure pipelines, and its accurate prediction is of considerable significance to pipeline safety and integrity management. Due to the different corrosion forms of different pipelines, the traditional empirical formula is difficult to predict the burst pressure with high accuracy. This paper proposes an ensemble data-driven model that can train the model based on existing pipeline parameters, corrosion...