Damage identification in a ship's structure using neural networks

Ocean Engineering

Volumn 29, Issue 10, 2002, Pages 1187-1200

  Zubaydi, A ^a   Haddara, M R ^a   Swamidas, A S J ^a  

^a MEMORIAL UNIVERSITY OF NEWFOUNDLAND   (Canada)

Author keywords

Autocorrelation functions; Crack detection; Neural networks; Parametric identification; Vibration of stiffened plates

Indexed keywords

CORRELATION METHODS; FINITE ELEMENT METHOD; NEURAL NETWORKS; STRUCTURAL ANALYSIS; VIBRATION CONTROL;

DAMAGE IDENTIFICATION;

SHIPS;

CRACK DETECTION; DAMAGE ASSESSMENT; NEURAL NETWORK; VESSEL; VIBRATION;

ARTIFICIAL NEURAL NETWORK; CRACK; DAMAGE; VESSEL; VIBRATION;

EID: 0037023583     PISSN: 00298018     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0029-8018(01)00077-4     Document Type: Article

References (9)

1. On-line failure detection and damping measurement of aerospace structures by random decrement signatures
2. Fatigue in side shell longitudinals due to external wave pressure
3. Finite element analysis of damaged ship hull structures offshore technology
4. On the use of neural network techniques in the analysis of free roll decay curves
5. Fatigue damage in the side shells of ships
6. Fatigue database development and analysis
7. Crude oil tanker hull structure fracturing: An operator's perspective
8. On the use of the autocorrelation function to identify the damage in the side shell of a ship's hull
9. Neural networks for damage identification in ship structures