Work

Pipeline Corrosion Pits Growth Prediction with Probabilistic Model and Artificial Neural Network

Year: 2026

Type: article

Source: Journal of Pipeline Systems Engineering and Practice

DOI: 10.1061/jpsea2.pseng-1938

Authors: Adrián Verdín Martinez, Eliceo Sosa Hernandez, Jorge Luis Alamilla Lopez, Hongbo Liu

Institution: Mexican Institute of Petroleum

Language: English

Topic: Structural Integrity and Reliability Analysis

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W7131663852

FWCI: 1.951

Cites: 26

Cited by: 1

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