1
|
Aryai V, Abbassi R, Abdussamie N, Salehi F, Garaniya V, Asadnia M, Baksh AA, Penesis I, Karampour H, Draper S, Magee A, Keng AK, Shearer C, Sivandran S, Yew LK, Cook D, Underwood M, Martini A, Heasman K, Abrahams J, Wang CM. Reliability of multi-purpose offshore-facilities: Present status and future direction in Australia. Process Saf Environ Prot 2021; 148:437-461. [PMID: 33071474 PMCID: PMC7553872 DOI: 10.1016/j.psep.2020.10.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 10/06/2020] [Accepted: 10/06/2020] [Indexed: 06/11/2023]
Abstract
Sustainable use of the ocean for food and energy production is an emerging area of research in different countries around the world. This goal is pursued by the Australian aquaculture, offshore engineering and renewable energy industries, research organisations and the government through the "Blue Economy Cooperative Research Centre". To address the challenges of offshore food and energy production, leveraging the benefits of co-location, vertical integration, infrastructure and shared services, will be enabled through the development of novel Multi-Purpose Offshore-Platforms (MPOP). The structural integrity of the designed systems when being deployed in the harsh offshore environment is one of the main challenges in developing the MPOPs. Employing structural reliability analysis methods for assessing the structural safety of the novel aquaculture-MPOPs comes with different limitations. This review aims at shedding light on these limitations and discusses the current status and future directions for structural reliability analysis of a novel aquaculture-MPOP considering Australia's unique environment. To achieve this aim, challenges which exist at different stages of reliability assessment, from data collection and uncertainty quantification to load and structural modelling and reliability analysis implementation, are discussed. Furthermore, several solutions to these challenges are proposed based on the existing knowledge in other sectors, and particularly from the offshore oil and gas industry. Based on the identified gaps in the review process, potential areas for future research are introduced to enable a safer and more reliable operation of the MPOPs.
Collapse
Key Words
- AI, Artificial intelligence
- AK-MCS, Active Learning Reliability Method with integrated Kriging and MCS
- ARENA, Australian Renewable Energy Agency
- AUV, Autonomous underwater vehicles
- Blue economy
- CBM, Condition-based monitoring
- CSIRO, Commonwealth Scientific and Industrial Research Organisation
- CSRV, Common source random variables
- EGRA, Efficient Global Reliability Analysis
- EMA, Experimental Modal Analysis
- FBG, Fibre Bragg Grating
- FDD, Frequency Domain Decomposition
- FE, Finite element
- FLNG, Floating Liquefied Natural Gas
- FMEA, Failure Mode and Effects Analysis
- FORM, First Order Reliability Method
- FOWT, Floating offshore wind turbine
- FPSO, Floating structures for production, storage and offloading
- GI, Galvanised iron
- GIS, Geographic information system
- HDPE, High-Density Polyethylene
- IS, Importance Sampling
- LH, Latin Hypercube
- LS, Line Sampling
- MCS, Monte Carlo Simulation
- MEMS, Microelectromechanical systems
- MFS, Modular floating structures
- MOB, Mobile offshore base
- MPOP, Multi-Purpose Offshore-Platforms
- NARMAX, Non-linear Auto-Regressive Moving Average with exogenous inputs model
- NOAA, USA National Oceanic and Atmospheric Administration
- NWW3, NOAA Wave Watch III
- O&M, Operations and management
- OMA, Operational Modal Analysis
- OREDA, Off ;shore and Onshore Reliability Data database
- OWT, Offshore wind turbine
- Ocean multi-use
- Offshore platforms
- PE, Polyethylene
- PES, Polyurethane polyester
- PET, Polyethylene terephthalate
- PP, Polypropylene
- PSP, Pneumatically Stabilized Platform
- PVC, Polyvinyl Chloride
- QRS, Quantum Resistive Sensors
- RAMS, Reliability, Availability, Maintainability, and Safety
- ROV, Remotely operated vehicles
- RSM, Response Surface Method
- Reliability analysis
- SCADA, Supervisory Control and Data Acquisition
- SES, Dragon and Seaweed Energy Solutions
- SHM, Structural health monitoring
- SORM, Second-Order Reliability Method
- SS, Subset Simulation
- SWAN, Simulating Waves Nearshore
- Structural integrity
- VLFS, Very large floating structure
- WEC, Wave energy converter
- WSE, Wave Swell Energy
Collapse
Affiliation(s)
- Vahid Aryai
- School of Engineering, Faculty of Science and Engineering, Macquarie University, Sydney, Australia
- National Centre for Maritime Engineering and Hydrodynamics, Australian Maritime College (AMC), University of Tasmania, Launceston, Australia
| | - Roquzbeh Abbassi
- School of Engineering, Faculty of Science and Engineering, Macquarie University, Sydney, Australia
| | - Nagi Abdussamie
- National Centre for Maritime Engineering and Hydrodynamics, Australian Maritime College (AMC), University of Tasmania, Launceston, Australia
| | - Fatemeh Salehi
- School of Engineering, Faculty of Science and Engineering, Macquarie University, Sydney, Australia
| | - Vikram Garaniya
- National Centre for Maritime Engineering and Hydrodynamics, Australian Maritime College (AMC), University of Tasmania, Launceston, Australia
| | - Mohsen Asadnia
- School of Engineering, Faculty of Science and Engineering, Macquarie University, Sydney, Australia
| | - Al-Amin Baksh
- National Centre for Maritime Engineering and Hydrodynamics, Australian Maritime College (AMC), University of Tasmania, Launceston, Australia
| | - Irene Penesis
- National Centre for Maritime Engineering and Hydrodynamics, Australian Maritime College (AMC), University of Tasmania, Launceston, Australia
| | - Hassan Karampour
- School of Engineering and Built Environment, Griffith University, Gold Coast, Australia
| | - Scott Draper
- School of Civil, Environmental and Mining Engineering, University of Western Australia, Perth, Australia
| | - Allan Magee
- Department of Civil and Environmental Engineering, National University of Singapore, Republic of Singapore
| | - Ang Kok Keng
- Department of Civil and Environmental Engineering, National University of Singapore, Republic of Singapore
| | | | | | - Lim Kian Yew
- Department of Civil and Environmental Engineering, National University of Singapore, Republic of Singapore
| | - Denham Cook
- Seafood Production Group, The New Zealand Institute for Plant & Food Research Limited, Port Nelson, New Zealand
| | - Mark Underwood
- Engineering and Technology, CSIRO Oceans and Atmosphere Hobart, Hobart, Australia
| | - Andrew Martini
- Engineering and Technology, CSIRO Oceans and Atmosphere Hobart, Hobart, Australia
| | | | | | - Chien-Ming Wang
- School of Civil Engineering, The University of Queensland, St Lucia, Australia
| |
Collapse
|