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SI: Steels and Composites for Engineering Structures Views: 2,112 Downloads: 1,142 Vol. 16, No. 59 (2022) December 22, 2021 pp. 461-470

Damage Detection in Structural Health Monitoring using Hybrid Convolution Neural Network and Recurrent Neural Network

Thanh Bui-Tien, Dung Bui-Ngoc, Hieu Nguyen-Tran, Lan Nguyen-Ngoc, Hoa Tran-Ngoc, Hung Tran-Viet

The process of damage identification in Structural Health Monitoring (SHM) gives us a lot of practical information about the current status of the inspected structure. The target of the process is to detect damage status by processing data…

10.3221/IGF-ESIS.59.30

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Failure Analysis and Forensic Engineering Views: 563 Downloads: 289 Vol. 20, No. 76 (2026) January 6, 2026 pp. 49-66

Hybrid feedforward neural network for pressure vessel internal corrosion prediction: integrating chemical models with inspection data for structural integrity assessment

Mina Pascal

This study presents a hybrid framework integrating a physics-based corrosion model with a feedforward neural network (FNN) to predict corrosion rates and estimate the remaining useful life (RUL) of industrial pressure vessels for…

10.3221/IGF-ESIS.76.04

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Damage Detection in Structural Health Monitoring using Hybrid Convolution Neural Network and Recurrent Neural Network

Hybrid feedforward neural network for pressure vessel internal corrosion prediction: integrating chemical models with inspection data for structural integrity assessment