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Annual Report

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function. Success criteria for safety systems are<br />

determined by a range of methods including experimental<br />

validation and phenomenological<br />

modelling, which often include some estimation<br />

of the associated uncertainties. However,<br />

current PSA methods use strictly conservative<br />

estimates, based on the supporting analysis,<br />

and this is reflected in single deterministicstyle<br />

fault trees.<br />

Measuring Crack Initiation and Growth in the<br />

Presence of Large Strains using the Potential<br />

Drop Technique<br />

Researcher: Keith Tarnowski<br />

Supervisor: Dr Catrin Davies<br />

Sponsor: EdF Energy<br />

Accurate laboratory measurements of crack initiation<br />

and growth are of vital importance for<br />

characterising material behaviour for use in<br />

the residual life assessment of structural components.<br />

The Potential Drop (PD) technique<br />

is one of the most common methods of performing<br />

these measurements, but such measurements<br />

are also sensitive to large inelastic<br />

strains which are often erroneously interpreted<br />

as crack growth. Despite the maturity of the PD<br />

technique, the extent of these errors is not fully<br />

understood and the most appropriate method<br />

of suppressing them is unknown.<br />

I have developed a sequentially coupled structural-electrical<br />

FE based tool capable of predicting<br />

the influence of strain on PD measurements.<br />

Using this tool in conjunction with experimental<br />

measurements, performed using a novel low<br />

frequency alternating current potential drop<br />

system, I have demonstrated that errors due to<br />

the presence of inelastic strains when measuring<br />

crack extension can be extremely large. The<br />

standard approaches of measuring crack initiation<br />

and growth during fracture toughness and<br />

creep crack growth testing of ductile materials<br />

are not fit‐for‐purpose. Alternative methods of<br />

interpreting the test data have been proposed<br />

which greatly improve the accuracy of these<br />

laboratory measurements.<br />

A Coupled Systems Code – CMHD Solver for<br />

Fusion Blanket Design<br />

Researcher: Michael Wolfendale<br />

Supervisors: Dr Mike Bluck and Dr Ben Chuilon<br />

Sponsors: Culham Centre for Fusion Energy and AMEC<br />

Fusion blankets are required to operate in a<br />

harsh environment under the influence of a<br />

number of interdependent and synergistic<br />

physical phenomena, working across several<br />

length scales. For magnetic confinement reactor<br />

designs using a conducting fluid as coolant/<br />

breeder, the difficulties in flow modelling are<br />

challenging due to interactions with the large<br />

magnetic field. Blankets comprise a number of<br />

common features such as ducts, manifolds and<br />

connections. As such, blankets are an ideal<br />

candidate for the application of a code coupling<br />

methodology, with a thermal hydraulic<br />

systems code modelling portions of the blanket<br />

such as the ducts, amenable to 1D analysis,<br />

and CFD providing detail where necessary. It is<br />

the aim of this study to develop such a modelling<br />

approach, enabling extensive thermal<br />

hydraulic simulation of the blanket and associated<br />

systems and accounting for MHD effects in<br />

a computationally efficient manner that lends<br />

itself to the design process.<br />

Improvements in Ultrasonic Inspection<br />

Techniques for High-Density Polyethylene Pipe<br />

Joints<br />

Researcher: Jack Egerton<br />

Supervisors: Prof Mike Lowe, Dr Peter Huthwaite, Dr<br />

Tariq Dawood and Dr Harshad Halai<br />

Sponsors: EDF Energy<br />

This project aims to improve ultrasonic nondestructive<br />

evaluation (NDE) of welds in high-<br />

Centre for Nuclear Engineering <strong>Annual</strong> <strong>Report</strong> 2014-2016 46

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