Different Bayesian methods for updating the fatigue crack size distribution in a tubular joint

Offshore platforms are prone to fatigue damage. To evaluate the fatigue damage, these platforms are periodically inspected during the in-service lifetime. Inspection activities provide additional information, which includes detection and measurement of crack size. A Bayesian framework can be used to update the probability distribution of the uncertain parameters such as crack size. After updating the distribution of the crack size, it is possible to improve the estimation of joint reliability. The main purpose of this study is to present different methods of Bayesian inference to update the probability distribution of the crack size using the inspection results and to demonstrate how the results are different. Two different methods are presented; analytical (conjugate) and numerical methods. The advantages and shortcomings of each method are discussed. To compare the results of the analytical and numerical methods, two different situations are considered; updating the crack size distribution for a particular joint and updating the crack size distribution for several joints that have almost the same conditions. Although the proposed methodology can be applied to different kinds of structures, an example of tubular joints in a specific jacket platform is presented to demonstrate the proposed approach and to compare the results of two methods

Optimising Structural Loading and Power Production for Floating Wave Energy Converters

This is the author accepted manuscript. The final version is available from EWTEC via the link in this record.This paper investigates the design trade-off between power production and structural loading for Wave Energy Converters (WECs), based on tank test results for the Albatern 12S floating wave energy array. This work feeds into the design development process, which is currently in the concept design and testing phase. The paper focuses on two methods for reducing structural loading: limiting the power take off (PTO) torque generation capacity (for operational loads), and controlling the PTO damping (for extreme loads). The torque that can be generated by the primary PTO mechanism affects the size (and cost) of the structural components within the device. Increased torque results in a potentially greater power capture, but also greater structural loading. It is therefore important to highlight the target torque limit early in the design process. The aim of this work is to identify the optimum torque limit to refine the design towards the lowest overall Levelised Cost of Energy (LCoE). In addition, a high-level investigation of the impact of PTO damping on extreme loading has been carried out, to help to identify appropriate “operational” and “survival” sea states for the device. The paper calculates an optimum torque limit for the device at the West Harris site and quantifies the trade-off between Annual Energy Production and structural cost, using the LCoE as an optimisation criteria. The approach is in principle applicable to other technologies, if the design drivers are adjusted to the technology’s working principle.Tank testing was funded by Wave Energy Scotland (WES) as part of the Novel Wave Energy Converter Stage 1 (NWEC1) programme. This work has been carried out as part of the IDCORE programme, funded by the Energy Technology Institute and RCUK Energy programme (grant no. EP/J500847/1

Analysis on the hull girder ultimate strength of a bulk carrier using simplified method based on an incremental-iterative approach

The hull girder ultimate strength of a typical bulk carrier is analyzed using a simplified method based on an incremental-iterative approach. First, vertical bending moment is examined by seven different methods. The moment versus curvature curves and the values of the ultimate longitudinal moments at collapse states are determined for both hogging and sagging cases. Second, the ultimate strength under coupled vertical and horizontal bending moment is accounted. An interaction curve is obtained, which corresponds to the results of series of calculation for the ship hull subject to bending conditions with different angles of curvature. It is found that the interaction curve is asymmetrical because the hull cross section is not symmetrical with respect to the horizontal axis and the structural response of the elements under compression is different from that under tension due to nonlinearity caused by buckling. The angles of the resultant bending moment vector and that of the curvature vector are different in investigated cases. The interaction design equations proposed by other researches are also addressed to discuss the results presented by this study

Steel-concrete connections for floating wave energy converters

In order to make wave power technologies competitive within the overall energy market, there needs to be significant reductions in the levelised cost of energy (LCoE). One area for potential cost reduction is the use of cheaper materials that are suitable for use in the harsh marine environment, such as reinforced concrete, which gives good corrosion and fatigue properties while providing excellent strength and stiffness at low unit cost. Concrete has the potential to be used for a wide range of wave energy device configurations, however in general use has been limited to nearshore fixed bottom wave energy converters. To date, no dynamic floating wave energy devices have successfully utilised reinforced concrete as structural material, mainly due to the uncertainty surrounding the behaviour of critical dynamic connections between concrete sections and other materials. This paper explores the main issues surrounding steel-concrete connections for floating wave energy converters, providing a review of available design options and standards and assessing the applicability of these to WECs. A methodology is proposed for the evaluation of connection options, and a case study of the Squid 12S floating WEC (developed by Albatern) is presented.This work has been carried out as part of the IDCORE programme, funded by the Energy Technology Institute and RCUK Energy programme (grant no. EP/J500847/1

System reliability calculation of jacket platforms including fatigue and extreme wave loading

Jacket platforms are redundant structures. Therefore, reliability analysis at system level is more applicable than at component level. Conventionally, system reliability analysis is estimated based on either fatigue loading or extreme environmental loading. The purpose of this study is to perform the structural reliability analysis of a jacket platform under both fatigue and extreme loading. In this study the fatigue limit state is defined based on the crack size, which is obtained by a fracture mechanics approach. The probability of failure for each component is calculated by using Monte-Carlo simulation. Important failure paths are identified by using a searching process. The system failure criterion is evaluated by comparing the platform strength and loading distributions in terms of base shear. In order to define a probabilistic formula for load, a global response surface method is adopted to relate the wave height to the response of the structure. A pushover analysis is also carried out to determine the capacity of the platform. Having calculated the structure strength and loading distributions, the annual probability of failure under extreme wave is calculated and compared to the tolerable probability of failure or target reliability. An application of the approach is presented

Wave-current interactions in marine current turbines

The influence of waves on the dynamic properties of bending moments at the root of blades of tidal stream vertical-axis rotors is reported. Blade element-momentum theory for wind turbines is combined with linear wave theory and used to analyze this influence. Experiments were carried out with a 350 mm diameter rotor to validate the simulation and the comparison shows the ability of the theoretical approach to predict the blade root bending moments. It can be concluded that, in steep waves, linear theory underestimates the dynamic behaviour of bending moments. However, in long waves, linear theory works well. Bending moments at roots of rotor blades fluctuate with significant amplitudes (as much as 50 per cent of mean value for out-of-plane bending moment and 100 per cent of mean value for in-plane bending moment), which will be important for design of tidal stream rotors

An intelligent system for vessels structural reliability evaluation

An intelligent system is proposed within INCASS (Inspection Capabilities for Enhanced Ship Safety) project for evaluating ship structural reliability and assisting in fatigue damage and structure response assessment. The system combines hydrodynamic, finite element and structural reliability models.. The hydrodynamic analysis model is not discussed in this paper. The finite element model input is a mesh for the mid-ship part of the vessel. Finally, the in-house structural reliability model input is the calculated output of the previous model as well as models for estimating crack development and propagation, corrosion growth and fatigue loading. The output includes the probability of failure for all the investigated components versus time which can be used to assess safe operation through the developed decision support software. The database can receive information from various sources including inspection and robotic systems data. The case study of a capsize bulk carrier the presents structural evaluation process

Inspection capabilities for enhanced ship safety

The INCASS (Inspection Capabilities for Enhanced Ship Safety) project brings together experienced partners to tackle the issue of ship inspection. The INCASS consortium brings an innovative solution to the integration of monitoring, inspection, data gathering, risk analysis and management and Decision Support for ship structures, machinery and equipment in an efficient and collaborative manner. INCASS project introduces the enhanced inspection of ship structures employing robotic platforms, providing real time data, incorporating Structural and Machinery Risk Analysis (SRA and MRA), enhanced central database and Decision Support System for continuous monitoring and risk analysis. This paper demonstrates the key features of INCASS project methodology and tools development. Furthermore, the paper demonstrates a case study on MRA by taking into account a ship Fuel Oil (FO) pump. The results are assessed on system, sub-system and component levels by considering various probable failure modes

Sampling, isolating and identifying microplastics ingested by fish and invertebrates

Microplastic debris (<5 mm) is a prolific environmental pollutant, found worldwide in marine, freshwater and terrestrial ecosystems. Interactions between biota and microplastics are prevalent, and there is growing evidence that microplastics can incite significant health effects in exposed organisms. To date, the methods used to quantify such interactions have varied greatly between studies. Here, we critically review methods for sampling, isolating and identifying microplastics ingested by environmentally and laboratory exposed fish and invertebrates. We aim to draw attention to the strengths and weaknesses of the suite of published microplastic extraction and enumeration techniques. Firstly, we highlight the risk of microplastic losses and accumulation during biotic sampling and storage, and suggest protocols for mitigating contamination in the field and laboratory. We evaluate a suite of methods for extracting microplastics ingested by biota, including dissection, depuration, digestion and density separation. Lastly, we consider the applicability of visual identification and chemical analyses in categorising microplastics. We discuss the urgent need for the standardisation of protocols to promote consistency in data collection and analysis. Harmonized methods will allow for more accurate assessment of the impacts and risks microplastics pose to biota and increase comparability between studies