scholarly journals Invariant Trace Fields of Chain Links

2016 ◽  
Vol 56 (1) ◽  
pp. 257-271
Author(s):  
Kazuhiro Ryou
Keyword(s):  
Author(s):  
Jorge Mendoza ◽  
Jacopo Paglia ◽  
Jo Eidsvik ◽  
Jochen Köhler

Mooring systems that are used to secure position keeping of floating offshore oil and gas facilities are subject to deterioration processes, such as pitting corrosion and fatigue crack growth. Past investigations show that pitting corrosion has a significant effect on reducing the fatigue resistance of mooring chain links. In situ inspections are essential to monitor the development of the corrosion condition of the components of mooring systems and ensure sufficient structural safety. Unfortunately, offshore inspection campaigns require large financial commitments. As a consequence, inspecting all structural components is unfeasible. This article proposes to use value of information analysis to rank identified inspection alternatives. A Bayesian Network is proposed to model the statistical dependence of the corrosion deterioration among chain links at different locations of the mooring system. This is used to efficiently update the estimation of the corrosion condition of the complete mooring system given evidence from local observations and to reassess the structural reliability of the system. A case study is presented to illustrate the application of the framework.


2017 ◽  
Vol 32 (1) ◽  
pp. 23-38 ◽  
Author(s):  
Peng Li ◽  
Grain Philip Adam ◽  
Derrick Holliday ◽  
Barry Williams

Author(s):  
Mahesh Dissanayake ◽  
Tariq Pervez Sattar ◽  
Shehan Lowe ◽  
Ivan Pinson ◽  
Tat-hean Gan

Purpose Mooring chains used to stabilise offshore floating platforms are often subjected to harsh environmental conditions on a daily basis, i.e. high tidal waves, storms, etc. Therefore, the integrity assessment of chain links is vital, and regular inspection is mandatory for offshore structures. The development of chain climbing robots is still in its infancy due to the complicated climbing structure presented by mooring chains. The purpose of this paper is to establish an automated climbing technique for mooring chain inspection. Design/methodology/approach This paper presents a Cartesian legged tracked-wheel crawler robot developed for mooring chain inspection. The proposed robot addresses the misalignment condition of the mooring chains which is commonly evident in in situ conditions. Findings The mooring chain link misalignment is investigated mathematically and used as a design parameter for the proposed robot. The robot is validated with laboratory-based climbing experiments. Practical implications Chain breaking can lead to vessel drift and serious damage such as riser rupture, production shutdown and hydrocarbon release. Currently, structural health monitoring of chain links is conducted using either remotely operated vehicles which come at a high cost or by manual means which increase the danger to human operators. The robot can be used as a platform to convey equipment, i.e. tools for non-destructive testing/evaluation applications. Originality/value This study has upgraded a previously designed magnetic adhesion tracked-wheel mooring chain climbing robot to address the misalignment issues of operational mooring chains. As a result of this study, the idea of an orthogonally placed Cartesian legged-magnetic adhesion tracked wheel robotic platform which can eliminate concerns related to the misaligned mooring chain climbing has been established.


2020 ◽  
Vol 41 (7) ◽  
pp. 1161-1180 ◽  
Author(s):  
Julia Smith ◽  
Lauren DeSouza ◽  
Jennifer Fang
Keyword(s):  

2020 ◽  
Vol 1 ◽  
pp. 64-73
Author(s):  
Jens Strobel ◽  
Jens Sumpf ◽  
Ralf Bartsch ◽  
Markus Golder

In continuous conveyor systems with circulating traction mechanisms, e.g. chains, the kinematic-dynamic movement behaviour of the traction mechanism is of great importance. Force and vibration analyses can be used to detect overloads and other irregularities in the conveying process. This helps to prevent damage that can lead to a complete failure of the conveyor system. Such analyses are particularly interesting for slide chain conveyors with plastic chains, as these react very sensitively to system overload due to limited thermal and mechanical characteristics as well as often a complex track layout. This article shows how accelerations and tractive forces can be continuously recorded, transmitted and analysed by sensors integrated into the chain links. In addition to the discussion of test results, potential applications of the measuring chain are shown.


2021 ◽  
Author(s):  
Karl Villareal ◽  
Rommel Estores ◽  
Peter Baert

Abstract The paper discusses an imaging sensor exhibiting a fast-to-rise sanity check failure from a scan chain test. The DUT was prepared for backside analysis in a portable daughter-card [1] that enabled the analyst to easily shift between testing platforms such as a standard imaging tester bench and compact scan diagnosis system [2], while being inspected under the Electro-Optical Probing (EOP) machine. To find a failing flip-flop in several-thousands long chain, broken scan chain analysis was performed to narrow down the search to a few chain links was implemented. EOP methods of fault isolation were employed to verify the location of the broken scan cell in those selected flip-flops. Finally, parallel lapping was done to confirm the location of the failing flip-flop under a SEM.


2022 ◽  
pp. 98-117
Author(s):  
Seema Garg ◽  
Navita Mahajan ◽  
Jayanta Ghosh

With Industry 4.0 and now 5.0 technologies, the entire globe is embracing these changes. Artificial intelligence-powered systems have immense potential to eliminate international geographical barriers and prove to influence global trade worldwide. The present study highlights how AI increases productivity, economic development, and provides international trade with new horizons. The global value chains, prediction of future trends like changes in consumer demand, risk management, supply chain links are some of the key applications of AI in the sector. AI empowers international trade negotiations to analyze economic trajectories of negotiating partners, adjustments of trade barriers at different rates and scenarios. The chapter will cover the support of AI to access global trade data, its response to diverse challenges, international expansions through digital platforms, support in translations, mechanism of demand prediction, automation of administration with increased efficiency and utility, smart manufacturing, barriers, and influences.


Sign in / Sign up

Export Citation Format

Share Document