Library · Simulation & modelling
What Hydrodynamic & Fluid Simulation got wrong, from 60 theses
Summary written by a model from the records below: The records document various modeling breakdowns and computational bottlenecks encountered across hydrodynamic and fluid simulation studies. Researchers frequently found that oversimplified physical assumptions, defective boundary formulations, turbulence closure errors, and numerical scaling limitations prevented models from accurately capturing fluid behavior. These records come from graduate theses, 2021 to 2026, each labeled with its degree where the repository states it, and each links to its thesis. They were extracted by language models reading the full text, so treat each as a lead to read, not a verdict.
Plus 9 problems the authors left open, listed at the end.
Failure modes, by theses reporting them
Select a mode to jump to its records.
Standard turbulence closures and eddy viscosity models fail under complex flow dynamics
Two-equation RANS, LES, and algebraic models frequently mispredict turbulent eddy viscosity, heat transfer, and Reynolds stresses in separated, swirling, or non-ideal compressible flows. These closure formulations often overpredict dissipation, suppress modeled turbulent kinetic energy, or diverge numerically during unsteady vortex and viscoelastic interactions.
Tried and failed
variable turbulent Prandtl number closure models applied to turbulent non-ideal compressible fluid flow. Outcome: worse than baseline. Reason: models severely underestimated heat transfer under strong non-ideal thermodynamic effects compared to constant Pr_t
A study of the internal flow of dense vapours used in Organic Rankine Cycle (ORC) turbines · Imperial · PhD
Tried and failed
Standard two-equation RANS turbulence models applied to Natural convection in stagnant enclosed vapor. Outcome: did not generalise. Reason: Models overpredicted turbulent kinetic energy and thermal diffusivity, underpredicting thermal stratification and vapor superheating
Modelling the evaporation of cryogenic liquids in storage tanks · Imperial · PhD
Tried and failed
Newtonian eddy-viscosity turbulence modeling applied to viscoelastic fluid flow drag reduction. Outcome: did not generalise. Reason: Failed to capture near-wall turbulent kinetic energy peaks and anisotropic viscoelastic stress contributions.
Drag Reduction by Polymeric Additive Solutions · Virginia Tech · Master's
Tried and failed
Strong Reynolds Analogy turbulence modeling applied to non-ideal compressible fluid flows. Outcome: did not generalise. Reason: large discrepancies between turbulent velocity and enthalpy mixing length scales under strong non-ideal thermodynamic regimes
A study of the internal flow of dense vapours used in Organic Rankine Cycle (ORC) turbines · Imperial · PhD
Tried and failed
hybrid RANS-LES turbulence modeling applied to differentially heated cavity natural convection flows. Reason: flow laminarization suppressed modeled turbulent kinetic energy, collapsing the model to coarse direct numerical simulation
On the Capability of Wall-Modeled Large Eddy Simulations to Predict Particle Dispersion in Complex Turbulent Flows · EPFL · PhD
Tried and failed
baseline k-omega two-equation turbulence model applied to unsteady aerodynamic vortex interaction simulation. Outcome: unstable. Reason: overpredicted turbulent eddy viscosity by several orders of magnitude, causing numerical divergence
Computational Assessment of the Interactional Proprotor-Wing Aerodynamics during Tiltrotor Conversion · Georgia Tech · PhD
Tried and failed
classical Smagorinsky Large Eddy Simulation model applied to oscillating wall-bounded fluid flows. Outcome: worse than baseline. Reason: overestimated near-wall eddy viscosity and turbulent dissipation, skewing oscillation amplitudes and natural periods
Nonlinear forcing, response and damping of oscillating water columns · Imperial · PhD
Lost to a baseline
2D BEM outperformed all URANSE turbulence/cavitation models in predicting CD and following the experimental CD trend across cavitation numbers at AoA=10 deg.
Numerical Simulations of Supercavitating Propellers and Hydrofoils · Virginia Tech · Doctorate
Lost to a baseline
SA model with default and varied coefficients over-predicted lift coefficient CL for NACA 0012 at angles of attack > 15 deg compared to other baseline turbulence models.
Data-driven RANS turbulence modeling for compressor stall · Imperial · PhD
Considered and rejected
Considered and rejected: Rayleigh-Plesset cavitation model and k-epsilon turbulence model were rejected in favor of Schnerr-Sauer and k-omega SST models which aligned better with reference data.
Health monitoring of cavitation erosion on airframe fuel pumps · Cranfield · Doctorate
Considered and rejected
Considered and rejected: Rejected turbulence modeling (e.g., RANS) in favor of a laminar solver with mesh refinement to avoid empirical constants and artificial dissipation
Impact of aortic acceleration on haemodynamics · Imperial · PhD
Considered and rejected
Considered and rejected: Rejected standard k-ω and SST k-ω turbulence models in favor of Realizable k-ε with enhanced wall treatment based on error analyses and R² comparisons of velocity and cooling effectiveness.
Analysis on the effect of trench geometry on film cooling effectiveness of shaped holes using rans simulation · University of Moratuwa · Master's
Considered and rejected
Considered and rejected: Rejected freezing the Reynolds stress field during UQ realizations (as done in prior methods), instead fully solving and transporting transport equations through the turbulence model.
A First Complete Approach to Address Model Error in Computational Turbulent Heat Transfer · MIT · PhD
Tried and failed
Standard Smagorinsky large eddy simulation model applied to turbulent jet expansion and mixing. Outcome: did not generalise. Reason: Inability of constant eddy viscosity to capture spatial variations in jet spreading and near-wall turbulence decay
TURBULENT MIXING BETWEEN LIQUIDS OF DISPARATE VISCOSITY ANDTHEIR EFFECT ON REACTION · Georgia Tech · PhD
Considered and rejected
Considered and rejected: Rejected algebraic URANS turbulence models due to incomplete formulations with empirical coefficients that do not generalize to complex 3D separated rotary flows.
Computational Investigation of Separated Flow and Stall Events on Rotating Systems · Georgia Tech · PhD
High-fidelity fluid simulations suffer from prohibitive computational costs and scaling bottlenecks
Directly resolving full three-dimensional Navier-Stokes equations, multiscale domains, or fine spatial grids creates severe computational overhead that prevents real-time execution. Mesh over-refinement and exhaustive direct numerical simulations drastically inflate runtimes without always yielding meaningful improvements in simulation accuracy.
Considered and rejected
Considered and rejected: Rejected Computational Fluid Dynamics (CFD) in favor of small-scale salt bath physical experiments due to high computational expense, turbulence modeling uncertainties, boundary condition sensitivity, and lack of validation data.
The fluid mechanics of horizontal exchange flows in naturally ventilated buildings · Imperial · PhD
Considered and rejected
Considered and rejected: Rejected computational fluid dynamics (CFD) modeling due to excessive computational demands incompatible with real-time forward simulation.
Adapting Random Tree Search to Fixed Wing Aerial Vehicles with Closed-Loop Prediction and Hybrid Control · Georgia Tech · PhD
Considered and rejected
Considered and rejected: Rejected fluid-dynamics and fluid-empirical air brake models because solving 1D fluid equations required co-simulation or parallel computing, compromising real-time simulation speed.
Development of numerical and experimental tools for the simulation of train braking operations · Politecnico di Torino · PhD
Tried and failed
adaptive mesh refinement algorithm applied to collapsing multiphase fluid bubble simulations. Outcome: too slow. Reason: excessive over-refining of the grid during bubble collapse drastically increased computational time
Numerical Study of Energy Loss Mechanisms in Oscillating Underwater Explosion (UNDEX) Bubbles · Virginia Tech · Master's
Tried and failed
isotropic spatial mesh refinement applied to shock tube detonation hydrodynamic simulation. Outcome: too slow. Reason: runtime exceeded acceptable limits without providing sufficient computational practicality
Numerical Modeling of the Energy Release of Aluminized Oxyacetylene Detonations · Virginia Tech · Master's
Tried and failed
uniform fine mesh grid discretization applied to large-scale 2D hydrodynamic floodplain simulation. Outcome: too slow. Reason: Massive computational runtime increase without producing measurable differences in inundation extent
Modeling the Impact of Flood Pulses on Disease Outbreaks in Large Water Basins with Scarce Data · Virginia Tech · Doctorate
Tried and failed
full concurrent multiscale direct numerical simulation applied to multiscale fluid-structure interface dynamics. Outcome: infeasible cost. Reason: simulating fine-scale microdomains at every macroscale boundary point each timestep is computationally prohibitive
Modeling Droplet Impingement Dynamics on Micropillar-Arrayed Viscoelastic Substrates Through Microgeometry-Free and Multiscale Methods · Virginia Tech · Doctorate
Considered and rejected
Considered and rejected: Rejected subsurface volumetric modelling and fluid dynamics for hydrogeology/sedimentology due to high computational overhead and interface complexity
Exploring the Potential of an Interactive Geoscience Teaching Application for Dynamically Visualizing 3D Terrain in Undergraduate Classrooms · Queen's University · Master's
Considered and rejected
Considered and rejected: Rejected pure 3D numerical hydrodynamic plume simulation over decadal scales due to excessive computational requirements and artificial numerical diffusion, selecting analytical solutions instead.
Sediment plumes and financial modeling in the context of deep-sea polymetallic nodule mining · MIT · PhD
Considered and rejected
Considered and rejected: Rejected using numerical quadrature rules for integrating rapidly varying regularized slender-body kernels due to prohibitive computational runtime during elastohydrodynamic simulations.
Mathematical modelling and computational simulation studies of flagellate motility · Oxford · PhD
Considered and rejected
Considered and rejected: Rejected convolution integral approach for hydrodynamics during optimization due to excessive computational time required by step-by-step for-loop ODE solver execution in MATLAB
Vibration Reduction of a Semisubmersible Floating Wind Turbine using Optimized Tuned Mass and Tuned Inerter Dampers · Virginia Tech · Master's
Considered and rejected
Considered and rejected: Rejected computationally expensive fluid dynamics modeling in favor of a lumped-capacitance steady-state thermal model.
Characterization of Internal Formaldehyde Production within The Pandora Spectrometer Instrument · Virginia Tech · Master's
Considered and rejected
Considered and rejected: Rejected Lagrangian Particle Tracking multiphase model because it is computationally inefficient and unsuitable for high particle volume fractions with turbulence.
TRANSIENT COMPUTATIONAL FLUID DYNAMICS MODELING OF WET STEAM IN A PIPING SYSTEM · Naval Postgraduate School · Master's
Reduced-dimensional approximations and empirical correlations fail to capture multi-dimensional flow physics
Truncating flow domains into one-dimensional or two-dimensional axisymmetric models neglects transverse infiltration, secondary currents, and vertical velocity structures. Additionally, empirical pressure drop, flow boiling, and drag correlations calibrated on simple configurations break down when applied across complex geometries or non-standard flow regimes.
Tried and failed
computational fluid dynamics aerodynamic modeling applied to airfoils at high angles of attack. Reason: fails to realistically simulate flow separation and aerodynamic behavior under stall conditions
Anomaly Detection in the Vibration of Wind Turbine Blades using Gaussian Process Regression · Carleton University · Master's
Tried and failed
empirical flow boiling correlation applied to cryogenic liquid boiling heat transfer. Outcome: did not generalise. Reason: failed to provide satisfactory predictive accuracy across cryogenic fluid flow regimes
Flow and Phase Change Phenomena of Cryogens and Cryogenic Fuels · Georgia Tech · PhD
Tried and failed
2D axisymmetric computational fluid dynamics modeling applied to boundary layer ingestion aerodynamic performance. Reason: neglecting 3D flow effects led to systematic underprediction of power savings compared to full 3D models
Propulsion integration design and evaluation for novel aircraft configurations · Cranfield · PhD
Tried and failed
empirical two-phase pressure drop correlations applied to vertical downflow fluid boiling. Outcome: did not generalise. Reason: Models calibrated on horizontal or upward flows fail to capture downward multiphase flow physics accurately.
Tried and failed
lumped equivalent density parameter estimation applied to non-Newtonian fluid with thermal viscosity inversion. Outcome: did not generalise. Reason: non-linear spatial pressure losses under temperature gradients cannot be captured by a single effective density parameter
Rheological characterization of complex drilling fluid and the effects on drilling hydraulics · UT Austin · PhD
Considered and rejected
Considered and rejected: Rejected plug flow assumption in large vessels (arteries/veins) because fluid flow follows Navier-Stokes equations closer to parabolic flow, which produced 22-fold lower error.
ESTIMATING PERFUSION AND VASCULAR PROPERTIES FROM MEDICAL IMAGES: QUANTITATIVE TRANSPORT MAPPING (QTM) · Cornell · PhD
Considered and rejected
Considered and rejected: Rejected linear increasing wind drag coefficient in the sigma-layer hydrodynamic model, replacing it with a piecewise linear function to match observed velocities and temperatures.
Numerical simulation of the fate, transport and public health risks of enteric viruses in Lake Geneva · EPFL · PhD
Considered and rejected
Considered and rejected: Pure linear or pure quadratic velocity damping hydrodynamic models during least-squares parameter identification of impulsive maneuvers (rejected in favor of a combined linear and quadratic damping model due to consistently higher L2 norm error)
Nonlinear Free Surface and Viscous Effects on Underwater Vehicle Maneuvering and Seakeeping · Virginia Tech · Doctorate
Tried and failed
multiphase reservoir simulation neglecting capillary pressure applied to thermal porous media drainage modeling. Reason: neglecting capillary forces significantly overestimated fluid front propagation rate and displacement chamber dimensions
Interplay of multicomponent phase behavior and flow in steam-solvent coinjection for heavy-oil and bitumen recovery · UT Austin · PhD
Tried and failed
reduced-scale physical flume modeling applied to sediment transport in river pools. Outcome: did not generalise. Reason: Wall boundary effects and missing 3D secondary currents distorted local hydrodynamics
Hydromorphological assessment of sediment augmentation measures in gravel-bed rivers · EPFL · PhD
Considered and rejected
Considered and rejected: Rejected 1D and 2D shallow water hydrodynamic modeling for complex fishways due to inability to resolve vertical velocities, anisotropic turbulence, and slot flow parameters.
Upstream passage of small sized fish species - effects of light and hydrodynamics · Politecnico di Torino · PhD
Tried and failed
constant crosswind assumption in trajectory modeling applied to projectile ballistic drift prediction. Outcome: did not generalise. Reason: Atmospheric field wind distributions rarely match uniform velocity assumptions due to spatial and temporal turbulence.
Effect of wind turbulence on wind ballistic trajectory of a medium calibre weapon system · Cranfield · Doctorate
Tried and failed
1D Darcy's law for macroscopic fluid flow applied to slot die coating over porous substrates. Outcome: did not generalise. Reason: 1D porous flow oversimplified transverse infiltration dynamics, mispredicting meniscus stability limits and coating thickness by over 57%
Scalable Approaches to Manufacturing Nanocellulose-Glass-Fiber Reinforced Composites · Georgia Tech · PhD
Lost to a baseline
Dittus-Boelter correlation (underpredicted/shifted down calculated fluid average velocities compared to measured values because the thermal boundary layer develops within the laminar viscous sublayer near the wall)
Intelligent Non-Invasive Thermal Energy Flow Rate Sensor for Laminar and Turbulent Pipe Flows · Virginia Tech · Doctorate
Smoothed particle hydrodynamics and mesh-free methods encounter severe numerical instabilities and boundary defects
Particle-based methods struggle with high computational expense, pressure field oscillations, and difficulties enforcing solid or absorbing boundary conditions. Attempts to refine resolution or alter gradient estimators often destroy conservation properties and generate unphysical fluid jets or interface leakage.
Tried and failed
immersed boundary method on raw point clouds applied to computational fluid dynamics simulation. Outcome: unstable. Reason: cut elements lacking boundary points caused severe velocity oscillations and flow leakage
NIMBUS: A novel immersed boundary framework for scanned geometries · Iowa State · Master's
Tried and failed
smoothed particle hydrodynamics applied to large-scale 3D dynamic impact simulations. Outcome: infeasible cost. Reason: computationally impractical and numerically unstable when scaling up to full-scale 3D models
Computational modelling of traumatic cerebral vasculature injury · Imperial · PhD
Tried and failed
SPH-FE coupling with ghost particles applied to coupled fluid-structure interaction simulations. Outcome: unstable. Reason: excessive computational cost and increased numerical instability at the interface
Computational modelling of traumatic cerebral vasculature injury · Imperial · PhD
Tried and failed
increasing spatial resolution in particle hydrodynamics applied to semi-analytical boundary fluid-solid coupling. Outcome: unstable. Reason: amplified boundary inconsistencies causing unphysical fluid jets and noisy pressure fields
Smoothed particle hydrodynamics for fluid-solid coupling: modelling fixed and mobile boundaries · Imperial
Tried and failed
Taylor series minimization for gradient estimation applied to smoothed particle hydrodynamics fluid simulations. Outcome: worse than baseline. Reason: loss of operator symmetry and physical conservation properties
Smoothed particle hydrodynamics for fluid-solid coupling: modelling fixed and mobile boundaries · Imperial
Considered and rejected
Considered and rejected: Rejected SPH (Smoothed Particle Hydrodynamics) due to extreme computational particle cost and difficulty setting viscous absorbing boundary conditions.
Numerical and Experimental Studies in Evaluating Engineering Effectiveness of Nature Based and Eco-Engineered Sea Defences · University College Dublin · PhD
Considered and rejected
Considered and rejected: Rejected Smoothed Particle Hydrodynamics (SPH) due to lack of constitutive material models handling simultaneous fracture/flow/cohesion and slower computation than DEM.
Evaluation of off-road uninhabited ground vehicle mobility using discrete element method and scalability investigation · Cranfield · PhD
Considered and rejected
Considered and rejected: Rejected Smoothed Particle Hydrodynamics (SPH) and other Lagrangian mesh-free methods due to explicit computational cost, pressure field instability, and difficulties in implementing Dirichlet/Neumann boundary conditions.
Numerical modelling of aeration and hydroelasticity in slamming loads and responses of marine structures · Leibniz Universität Hannover · PhD
Porous media and multiphase transport assumptions break down under complex hydrodynamic conditions
Conventional Darcy formulations, static drag laws, and pore-network models fail when applied to shearing beds, dilute particulate packings, or non-equilibrated fluid mixtures. In addition, relying on shear stress or literature dispersivity parameters severely distorts sediment transport rates and causes nonphysical solute mixing zones.
Tried and failed
Literature-derived high dispersivity values in transport modeling applied to subsurface solute transport simulation. Reason: Excessive hydrodynamic dispersion caused unrealistically broad mixing zones compared to observed salinity gradients
Controls on groundwater and surface water salinity in coastal Bangladesh · Imperial · Doctorate
Tried and failed
predicting sediment transport from shear stress applied to turbulent flows with emergent obstructions. Outcome: did not generalise. Reason: transport rates varied by two orders of magnitude at identical shear stress due to uncaptured turbulence
The Impact of Vegetation Morphology on Turbulence and Bedload Transport · MIT · PhD
Tried and failed
Rhie-Chow interpolation with drag terms in Navier-Stokes applied to porous media fluid flow simulation. Outcome: unstable. Reason: numerical instabilities prevented steady state convergence in complex 3D geometry
Nuclear thermal hydraulics analysis using devito’s code generation framework · Imperial · PhD
Tried and failed
multiphase displacement using non-equilibrated working fluids applied to pore-scale fluid displacement experiments. Outcome: unstable. Reason: the non-wetting phase completely dissolved into the non-equilibrated wetting fluid across repeated cycles
Pore-scale investigation of two-phase flow hysteresis in hydrogen storage using micro-ct imaging · Imperial · PhD
Tried and failed
static drag laws in mobile granular beds applied to fluid-driven granular shear flows. Outcome: did not generalise. Reason: fixed-particle assumptions severely under-predict drag under mobile, shearing bed conditions
Model development based on discrete particle simulations of partially- and fully-saturated granular media · MIT · PhD
Tried and failed
semi-analytical colloid filtration correlations applied to charged particle deposition in porous media. Outcome: did not generalise. Reason: correlations fail at low fluid velocities under unfavourable electrostatic surface interaction conditions
Mathematical modelling of nanoparticle transport through tumours for application in radiotherapy · Imperial · PhD
Tried and failed
pore network modeling of fluid flow applied to high-porosity dilute particulate packings. Outcome: did not generalise. Reason: throat conductance and network topology assumptions break down in dilute, unconfined pore spaces without well-defined throats
Particle-scale numerical simulation of the thermal behaviour of granular materials · Imperial · PhD
Considered and rejected
Considered and rejected: Rejected standard Darcy multiphase poroelastic extensions because non-wetting fluid completely evacuates solid during macroscopic cavitation, invalidating standard pore-flow assumptions.
Formation and collapse of non-wetting cavities in soft porous media · Oxford · PhD
Rigid wall assumptions and unadjusted boundary conditions distort flow fields and destabilize solvers
Imposing rigid-wall boundaries on compliant biological vessels causes severe overestimation of peak velocities, wall shear stresses, and cross-luminal pressure gradients. Furthermore, unadjusted lumped parameter models, open outflow conditions, and sharp pressure waveforms cause unphysiological pressure spikes, backflow entrainment, and solver failure.
Tried and failed
rigid wall computational fluid dynamics applied to pulsatile arterial blood flow. Reason: neglecting wall compliance significantly overestimates peak flow velocity and wall shear stress
Computational haemodynamic analysis of thoracic endovascular aortic repair for complex aortic arch diseases · Imperial · PhD
Tried and failed
low-resolution laminar flow simulation applied to pulsatile cardiovascular fluid dynamics. Outcome: worse than baseline. Reason: neglecting turbulent dissipation and phase-averaging severely overpredicts derived viscous energy loss metrics
Assessing turbulence in patient-specific aortas with aortic valve disease and valve prostheses · Imperial · PhD
Tried and failed
rigid-wall computational fluid dynamics simulation applied to compliant multi-lumen vessel flow. Outcome: did not generalise. Reason: neglecting dynamic wall compliance prevents accurate prediction of cross-luminal pressure gradients
Computational analysis of hemodynamics and thrombosis in aortic dissection for clinical applications · Imperial · PhD
Tried and failed
lumped parameter boundary conditions without branch flow correction applied to computational fluid dynamics in vascular networks. Outcome: unstable. Reason: omitted side branches without flow adjustment caused severe artificial volume overload and unphysiological pressure spikes
Computational analysis of hemodynamics and thrombosis in aortic dissection for clinical applications · Imperial · PhD
Tried and failed
standard open outflow boundary conditions applied to swirling and recirculating fluid flows. Outcome: unstable. Reason: nonphysical artificial pressure gradients and backflow entrainment cause numerical ill-posedness
Dynamics of swirling jets and flames · Georgia Tech · PhD
Considered and rejected
Considered and rejected: Rejected using purely Eulerian velocity boundary conditions (V_wall(x,t)) for deforming elastic channels because they fail to capture finite longitudinal strain, material periodicity, and fluid-structure coupling.
MECHANISMS OF FLOW GENERATION IN ELASTIC VESSELS · Penn · PhD
Left open by the authors
Problems the authors named and did not get to.
Left open
Validate computational fluid dynamics simulations of mechanical circulatory support using an optimization function for boundary conditions. Blocker: Requires unpublished experimental flow and pressure data from the thesis's physical mock loop and porcine models
Optimization of Hybrid Hemodynamics from Mechanical Support Devices in Cardiogenic Shock · MIT · PhD
Left open
Integrate a dynamic growth model with finite element fluid-structure interaction simulations to model cardiovascular tissue remodeling dynamics. Blocker: Lacks specific target growth equations, constitutive parameters, and validation data from the thesis
Soft Robotic Platforms for the Simulation of Cardiovascular Disease and Device Development · MIT · PhD
Left open
Evaluate unsteady aerodynamic load distributions under distributed bleed using the Shih et al. vorticity balance formulation with measured or simulated flow fields. Blocker: Requires experimental wind tunnel flow field data (PIV) or high-fidelity fluid-structure interaction simulations specific to the flexible wing bleed setup.
Flow-Interactive Control of a Flexible Wing Using Aerodynamic Distributed Bleed Actuation · Georgia Tech · PhD
Left open
Develop a fluid-structure interaction model for coronary artery biomechanics to simulate wall compliance beyond rigid-wall computational fluid dynamics. Blocker: Requires specific arterial geometry, tissue mechanical properties, and hemodynamic boundary condition data from the pig study
Towards understanding the causal relationship between local biomechanics and atherogenesis in a model of human-like advanced coronary plaques · Imperial · PhD
Left open
Validate the numerical solver accuracy by comparing simulation results against additional experimental data under complex hydrodynamic conditions. Blocker: No specific experimental benchmark datasets or experimental test facilities specified
Enhancing stationkeeping and motion reduction of floating offshore wind turbines using wave devouring propulsion technology · Cranfield · PhD
Left open
Implement fluid-structure interaction simulations on the tricuspid valve finite element model to quantify regurgitant flow volume. Blocker: Requires the private subject-specific tricuspid valve finite element mesh and experimental material data from the thesis
Towards understanding tricuspid valve mechanics & function in health, disease, and repair · UT Austin · PhD
Left open
Validate multiphase structured packing CFD simulations against experimental multiphase hydrodynamics and mass transfer data. Blocker: Requires experimental multiphase mass transfer/hydrodynamic laboratory data from structured packing rigs
Predictions of the mass transfer in structured packings using computational fluid dynamics · UT Austin · PhD
Left open
Implement two-phase fluid-solid-interaction simulations incorporating blood cells and plasma for embryonic zebrafish cardiac mechanics. Blocker: Requires private 4D light-sheet/confocal microscopy geometry and tissue motion tracking data from the thesis lab
The role of biomechanics in the formation and function of cardiac trabeculae in zebrafish embryonic hearts · Imperial · PhD
Left open
Model and test vertical capillary imbibition with graphene-oxide and sickled blood cell suspensions coupled to numerical multi-phase flow simulations. Blocker: Requires wet lab experiments with graphene-oxide, sickled blood cells, and microfluidics apparatus for validation
Flow of colloidal and living suspensions in confined geometries · Harvard · PhD
Who has worked on this
Authors of the public theses cited on this page, most-cited first.
- Anton Esmail Yakas · Imperial · 2022
Smoothed particle hydrodynamics for fluid-solid coupling: modelling fixed and mobile boundaries - Tao Chen · Imperial · PhD · 2022
A study of the internal flow of dense vapours used in Organic Rankine Cycle (ORC) turbines - Harry Duckworth · Imperial · PhD · 2022
Computational modelling of traumatic cerebral vasculature injury - Chloe Harriet Armour · Imperial · PhD · 2021
Computational analysis of hemodynamics and thrombosis in aortic dissection for clinical applications - Pranav Sridhar · Georgia Tech · PhD · 2026
Computational Assessment of the Interactional Proprotor-Wing Aerodynamics during Tiltrotor Conversion - Surabhi Srivastava · Virginia Tech · Doctorate · 2026
Numerical Simulations of Supercavitating Propellers and Hydrofoils - Yang Li · Virginia Tech · Doctorate · 2026
Modeling Droplet Impingement Dynamics on Micropillar-Arrayed Viscoelastic Substrates Through Microgeometry-Free and Multiscale Methods - Xihang Xu · University College Dublin · PhD · 2026
Numerical and Experimental Studies in Evaluating Engineering Effectiveness of Nature Based and Eco-Engineered Sea Defences - Kim Anh Pham · Georgia Tech · PhD · 2025
Scalable Approaches to Manufacturing Nanocellulose-Glass-Fiber Reinforced Composites - Sepideh Goodarzi · Imperial · PhD · 2025
Pore-scale investigation of two-phase flow hysteresis in hydrogen storage using micro-ct imaging - Iliana Rose Walters · Virginia Tech · Master's · 2025
Numerical Modeling of the Energy Release of Aluminized Oxyacetylene Detonations - Jesús Matesanz García · Cranfield · PhD · 2025
Propulsion integration design and evaluation for novel aircraft configurations
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