Ultimate strength prediction of corroded plates with center-longitudinal crack using FEM and ANN. (15th June 2020)
- Record Type:
- Journal Article
- Title:
- Ultimate strength prediction of corroded plates with center-longitudinal crack using FEM and ANN. (15th June 2020)
- Main Title:
- Ultimate strength prediction of corroded plates with center-longitudinal crack using FEM and ANN
- Authors:
- Ahmadi, Farzaneh
Rahbar Ranji, Ahmad
Nowruzi, Hashem - Abstract:
- Abstract: Corrosion and cracking are two main reasons for failure of plates in ships and offshore structures. In the current paper, the ultimate strength of plates with pitting corrosion and a longitudinal crack is investigated under uniform in-plane compression using non-linear finite element method (FEM). Ultimate strength of cracked-pitted plates are predicted using proper artificial neural network (ANN) under different aspect ratio, thickness of plate, number of pits, crack length, and pit depth over thickness of the plate. Based on the numerical results, in rectngular plates, ultimate strength for pitted plate and cracked-pitted plate are almost the same, while in square plates when degree of pitting is low, negligible effect of longitudinal crack on the ultimate strength is detected. For thin plates, less influence of pit corrosion on ultimate strength reduction is observed in comparison to thick plates. Also, it is found that the arrangements of pits in the cracked-pitted plates on ultimate strength reduction is more influential than number of the pits. Finally, an equation is suggested to predict the ultimate strength of corroded plated with longitudinal crack using ANN's weights and bias. Highlights: Analysis of ultimate strength of pitted-cracked by combination of FEM and ANN methods. Determination of weight of the most influential parameters on ultimate strength reduction of pitted-cracked plate. Proposing equation to predict the ultimate strength ofAbstract: Corrosion and cracking are two main reasons for failure of plates in ships and offshore structures. In the current paper, the ultimate strength of plates with pitting corrosion and a longitudinal crack is investigated under uniform in-plane compression using non-linear finite element method (FEM). Ultimate strength of cracked-pitted plates are predicted using proper artificial neural network (ANN) under different aspect ratio, thickness of plate, number of pits, crack length, and pit depth over thickness of the plate. Based on the numerical results, in rectngular plates, ultimate strength for pitted plate and cracked-pitted plate are almost the same, while in square plates when degree of pitting is low, negligible effect of longitudinal crack on the ultimate strength is detected. For thin plates, less influence of pit corrosion on ultimate strength reduction is observed in comparison to thick plates. Also, it is found that the arrangements of pits in the cracked-pitted plates on ultimate strength reduction is more influential than number of the pits. Finally, an equation is suggested to predict the ultimate strength of corroded plated with longitudinal crack using ANN's weights and bias. Highlights: Analysis of ultimate strength of pitted-cracked by combination of FEM and ANN methods. Determination of weight of the most influential parameters on ultimate strength reduction of pitted-cracked plate. Proposing equation to predict the ultimate strength of pitted-cracked plates with center/longitudinal crack. … (more)
- Is Part Of:
- Ocean engineering. Volume 206(2020)
- Journal:
- Ocean engineering
- Issue:
- Volume 206(2020)
- Issue Display:
- Volume 206, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 206
- Issue:
- 2020
- Issue Sort Value:
- 2020-0206-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-06-15
- Subjects:
- Artificial neural network -- Plate -- Pitting corrosion -- Longitudinal crack -- Finite element method -- Ultimate strength
Ocean engineering -- Periodicals
Ocean engineering
Periodicals
620.4162 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00298018 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.oceaneng.2020.107281 ↗
- Languages:
- English
- ISSNs:
- 0029-8018
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6231.280000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13536.xml