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This paper proposes a conceptual design of an innovative deep-sea aquaculture platform that integrates a steel structural framework and high-density polyethylene (HDPE) floats. It aims to overcome the limitations of prevailing aquaculture equipment, including inadequate resistance to strong wind and waves, complex technologies, and prohibitively high costs. The design scheme and key parameters of the main platform, the netting system, and the mooring systems are presented. Based on the stochastic design wave method, the characteristic load response scenarios and design wave parameters are determined and analyzed. Strength analysis is conducted to assess the structural performance, vulnerabilities, and overall safety of the platform under various characteristic load conditions. The results indicate that the Von Mises stress levels across different sections of the platform conform to the allowable stress thresholds under various characteristic load conditions. However, the stress levels of the platform are notably higher when subjected to characteristic loads associated with vertical shear, vertical bending moments, and torsion about the horizontal axis, which requires further efforts in the design process to enhance the structural safety of the platform. The proposed design methodology and the presented research results can provide a wide range of references for the design and analysis of deep-sea fisheries aquaculture equipment. [ABSTRACT FROM AUTHOR]

In-depth investigations of major offshore accidents show that technical, human, operational and organisational risk influencing factors (RIFs) all have crucial effects on the accident sequences. Nonetheless, the current generation of quantitative risk analysis (QRA) in the offshore petroleum industry has focused on technical safety systems while applications and findings in the non-technical fields are to a large extent missing. There have also been parallel efforts to develop methods for the formal inclusion of human and organisational factors (HOFs) into QRA. Examples from the offshore petroleum industry include ORIM, BORA, Risk_OMT, etc. This paper presents a review of QRA models that have been developed for the offshore petroleum industry, allowing HOFs integrated in a systematical way. The main intention of this study is to summarise and evaluate how these QRA models effectively seek answers to the key questions in this line of research: (i) What are the RIFs that affect the risk? (ii) How do these factors influence the risk? (iii) How much do these factors contribute to the risk? Further, the weakness and challenges of the reviewed models are pinpointed based on a substantial data set of actual leaks that have occurred in the Norwegian sector. Following the close scrutiny of these models, their progress, limitations, validity and suitability are addressed and discussed in detail. Based on these insights, future work is suggested to enhance and improve the QRA framework for including the installation specific conditions of technical and non-technical RIFs in a more comprehensive and defensible way. [ABSTRACT FROM AUTHOR]