Work

Predicting Residual Dent Parameters of Subsea Steel Pipelines Using Artificial Neural Networks

Year: 2025

Type: article

Source: Journal of Offshore Mechanics and Arctic Engineering

DOI: 10.1115/1.4070391

Authors: Elvis Jhoarsy Osorio Santander, Bianca de Carvalho Pinheiro, Ney Roitman, Carlos Magluta

Institutions: Universidade do Estado do Amazonas, Universidade Federal do Rio de Janeiro

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

Funder: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Award: G7000086498

OpenAlex ID: W4416588310

FWCI: 0.301

Cites: 14

Cited by: 1

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