Feature recognition and strength estimation of chain links by 3D inspections. (1st April 2021)

• Record Type: Journal Article
• Authors: Sachan, Ankit; Cheok, Wei Wen Evan; Choo, Yoo Sang
• Is Part Of: Ocean engineering. Volume 225(2021)
• Publication Date: 2021-04-01
• Subjects: Mooring chain -- Mooring integrity -- Condition monitoring -- 3D inspections -- Finite element analysis -- Strength estimation; Ocean engineering -- Periodicals; Ocean engineering; Periodicals; 620.4162
• DOI: 10.1016/j.oceaneng.2021.108785
• Languages: English
• ISSNs: 0029-8018

Abstract

Abstract: In the past mooring chain failure probabilities have been much higher than the design failure probabilities. The high failure rates are attributed to prolonged exposure to various degradation mechanisms in harsh offshore conditions. In addition to understanding failure mechanisms, researchers have stressed on reducing the risk of failures through regular and reliable inspections. Current inspection techniques involve both in-air and in-water inspections. However, current in-air inspections are time consuming and expensive, while in-water inspection techniques are not yet reliable. The present paper proposes a condition monitoring and strength estimation methodology based on three-dimensional (3D) scans of links. The study first identifies and estimates changes in simple geometrical features of chain links using finite element (FE) modeling for condition monitoring. The methodology has two stages: 3D general imaging (3D-GI) to identify degraded chain links using feature monitoring, followed by 3D detailed imaging (3D-DI) of the identified weak links. The weak links 3D point clouds could be further converted to solid FE models for residual strength estimation by employing a suitable material degradation model. The geometrical feature monitoring methodology is verified by 3D scans of an undeformed and a deformed studded link. Highlights: In-water three-dimensional (3D) imaging for condition assessment of mooring chains. Identification of geometrical features which could be monitored during the underwater 3D inspections. Scanning of chain links to generate 3D point clouds and conversion to solid Finite Element (FE) models for analysis. Strength estimation of degraded chain links using FE models generated using 3D point cloud data.