ORCID Profile
0000-0003-1577-6971
Current Organisation
University of Tasmania
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Publisher: Faculty of Navigation
Date: 2019
Publisher: Elsevier BV
Date: 05-2022
Publisher: Elsevier BV
Date: 2021
Publisher: SNAME
Date: 19-09-2022
DOI: 10.5957/SMC-2022-010
Abstract: This study explores the effects of pre-treatment on oily water separator performance at the shipboard level. An online survey of marine personnel was carried out, in which respondents were asked to rate the performance of separator systems and to provide technical information. The results of the study indicated that the use of pre-treatment resulted in improved effectiveness ratings of between 11 & 18%, with increases of between 14 & 43% found for the failure running hours. Given these findings, it was concluded that the use of pre-treatment offers a relatively simple method of improving oily water separator performance, and that there is a need for the International Maritime Organization to further encourage its use via legislation.
Publisher: Faculty of Navigation
Date: 2023
Publisher: Elsevier BV
Date: 2017
Publisher: Faculty of Navigation
Date: 2021
Publisher: Faculty of Navigation
Date: 2020
Publisher: Elsevier BV
Date: 08-2018
Publisher: Wiley
Date: 05-12-2019
DOI: 10.1002/PRS.12118
Publisher: Wiley
Date: 20-01-2022
DOI: 10.1002/PRS.12337
Abstract: Commercial shipping is currently dominated by mega container vessels. The shipping industry has seen a 10‐fold increase in the size of containers over the last four decades. These vessels are propelled by large marine diesel engines, hereafter referred to as the main engine. The performance of the main engine is determined by its subsystems. An important part of the main engine is the turbocharging system, which contributes to its safety, efficiency, and reliability. In this study, the effectiveness and reliability of the turbocharging system are evaluated. The Australian Maritime College has a Kongsberg Engine Simulator that can produce a variety of malfunctions on a running engine's turbocharging system. Analyzing the results obtained from the simulator determines the efficiency of the turbochargers. The study will provide recommendations for improving the safety of the turbocharging system for better performance to be achieved by the turbochargers, leading to an improvement in the main engine's performance. Last, the reliability of the turbocharging system is evaluated quantitatively using a fault tree analysis and reliability block diagrams. This will enable an optimum maintenance strategy to be established to ensure the safe operation of the vessel.
Publisher: Elsevier BV
Date: 03-2018
Publisher: Elsevier BV
Date: 11-2017
Publisher: MDPI AG
Date: 11-10-2022
DOI: 10.3390/EN15207460
Abstract: The complexity of corrosion mechanisms in harsh offshore environments poses safety and integrity challenges to oil and gas operations. Exploring the unstable interactions and complex mechanisms required an advanced probabilistic model. The current study presents the development of a probabilistic approach for a consequence-based assessment of subsea pipelines exposed to complex corrosion mechanisms. The Bayesian Probabilistic Network (BPN) is applied to structurally learn the propagation and interactions among under-deposit corrosion and microbial corrosion for the failure state prediction of the asset. A two-step consequences analysis is inferred from the failure state to establish the failure impact on the environment, lives, and economic losses. The essence is to understand how the interactions between the under-deposit and microbial corrosion mechanisms’ nodes influence the likely number of spills on the environment. The associated cost of failure consequences is predicted using the expected utility decision theory. The proposed approach is tested on a corroding subsea pipeline (API X60) to predict the degree of impact of the failed state on the asset’s likely consequences. At the worst degradation state, the failure consequence expected utility gives 1.0822×108 USD. The influence-based model provides a prognostic tool for proactive integrity management planning for subsea systems exposed to stochastic degradation in harsh offshore environments.
Publisher: Faculty of Navigation
Date: 2019
Publisher: IEEE
Date: 26-09-2021
Publisher: Faculty of Navigation
Date: 2023
Publisher: The Society of Naval Architects and Marine Engineers
Date: 2016
No related grants have been discovered for T M Rabiul Islam.