Work

Deeppipe: Theory-guided neural network method for predicting burst pressure of corroded pipelines

Year: 2022

Type: article

Source: Process Safety and Environmental Protection

DOI: 10.1016/j.psep.2022.04.036

Authors: Yunlu Ma, Jianqin Zheng, Yongtu Liang, Jiří Jaromír Klemeš, Jian Du, Qi Liao, Hongfang Lu, Bohong Wang

Institutions: China University of Petroleum, Beijing, Brno University of Technology, Southeast University, Zhejiang Ocean University

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

Funders: National Natural Science Foundation of China, Zhejiang Ocean University

OpenAlex ID: W4224254510

FWCI: 4.168

Cites: 51

Cited by: 60

Related to: 10