Sanjiv Gunasekera LinkedIn
PhD Candidate, University of New South Wales, Australia.
"Experimental and numerical analysis of a stented arteriovenous fistula"
Research interests: Particle Image Velocimetry, Computational Fluid Dynamics, Haemodynamics, Biofluids, Clinical Diagnostics and Imaging
Feb 2021 – May 2021 – Lead demonstrator – MATH2089 Numerical Methods and Statistics
Feb 2018 – May 2021 – Demonstrator - School of Mech. & Manu. Eng., UNSW (MMAN2700 – Thermodynamics, MECH4620 – CFD, MMAN3000 – Professional Engineering and Communication, MATH2089 – Numerical Methods and Statistics)
Oct 2020 – Feb 2021 – Research assistant – School of Women’s & Children’s Health, UNSW
Feb, Aug - Dec 2017 – Research assistant – School of Mech. & Manu. Eng., UNSW
Jan – Feb, Jul 2016 – Undergraduate Mechanical Engineer – AECOM Sydney
Gunasekera, S.; Ng, O.; Thomas, S.; Varcoe, R.; de Silva, Charitha.; & Barber, T. (2021). Impact of juxta-anastomotic stent implantation on the haemodynamics within a single representative patient AVF (under review)
Gunasekera, S.; Ng, O.; Thomas, S.; Varcoe, R.; de Silva, Charitha.; & Barber, T. (2020). Tomographic PIV analysis of physiological flow conditions in a patient-specific arteriovenous fistula. Experiments in Fluids.
Gunasekera, S. D.; Ng, O.; Thomas, S.D.; Varcoe, R.L.; de Silva, C.; & Barber, T.J., Flow through a malapposed flexible stent within an arteriovenous fistula, 26th Congress of the European Society of Biomechanics, Milan, Italy, 2021
Ng, O; Gunasekera, S.;Thomas, S.; Varcoe, R.; & Barber, T, CFD-derived resistance as a clinical indicator for problematic AVFs, presented at 26th Congress of the European Society of Biomechanics, Milan, Italy, 2021
Gunasekera, S.; Ng, O.; Thomas, S.; Varcoe, R.; de Silva, C. M.; & Barber, T.,A numerical investigation of a stented arteriovenous fistula, Proceedings of the 22nd Australasian Fluid Mechanics Conference AFMC2020.
Ng, O; Gunasekera, S.;Thomas, S.; Varcoe, R.; & Barber, T, A clinical predictive tool for arteriovenous fistula (AVF) failure, Proceedings of the 22nd Australasian Fluid Mechanics Conference AFMC2020.
Mallinson, S. G.; McBain, G. D.; Ng, O; Gunasekera, S. D.; & Barber, T, “Hydraulic resistance and inertance of multi-port vessels”, Proceedings of the 22nd Australasian Fluid Mechanics Conference AFMC2020
O Ng, S Gunasekera, S. Thomas, R. Varcoe, and T Barber, “Regular Non-Invasive Surveillance of Arteriovenous Fistula (AVF)”, presented at 5th Annual 3DMed Australia Conference, Melbourne, Australia, 2019
Current Project: Evaluate the unsteadiness of the flow within a stented arteriovenous fistula
Cleansing our blood is an automatic bodily process that happens to a majority of us. However, 10% of Australians suffer from chronic kidney disease, where their kidneys progressively lose the ability to filter blood. One way of overcoming this is by creating an arteriovenous fistula referred to as an AVF to enable filtration via an external machine. Although the AVF helps solve one problem, it faces challenges of its own. AVF failure rates are very high, requiring further intervention or treatment like an implantation of metallic scaffolding that hold open a diseased vessel, which we also refer to as a stent. The high AVF failure rates are caused by vascular disease that constrict the vessels. Disturbances in the blood flow is a factor in the onset of disease in the AVF.
My research involves analysing the flow within the AVF to understand its features and its impact on disease initiation. To delve into the blood flow, we obtain ultrasound scans of the patients’ AVFs and measure the general blood flow rates. I use this data to create a virtual geometry of the AVF and run (Computational Fluid Dynamics – CFD) simulations using the initial flow rates. The simulations are run with modelling assumptions to replicate the physical properties of the blood (using non-Newtonian functions) and turbulent flow behaviour (using turbulence models – k-ω SST). To complement the simulations with a perspective free from modelling, I also fabricated a transparent benchtop geometry of the AVF. A transparent fluid with blood-like properties is pumped through this. High speed cameras are used to capture the flow by tracking small reflective particles in the fluid (Particle Image Velocimetry – PIV). The two flow measuring methods, computational simulations and benchtop experiments, give high resolution velocity information. The velocities are analysed in space and across time to find flow features that have an impact on the vessel wall. The computational simulations are extended by also assessing the effect of stent implantation.
Understanding the specific flow features that impact the vessel wall, would detail the relationship between blood flow behaviour and tendency for disease onset in an AVF. This understanding will firstly, help surgeons and clinicians when creating or treating AVFs. Secondly it will help medical device (or stent) manufacturers in designing products that diminish flow features that cause AVF failure. The ultimate goal would be to minimise the amount of maintenance the AVF requires thereby improving the quality of life of patients with AVFs.