Philip Cardiff

Associate Professor

Dublin City University

Ireland

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Philip Cardiff is an Associate Professor at University College Dublin, Ireland. His research areas include machine learning applications in material modeling, numerical modeling of phase changes in laser materials processing, and the development of tools for solid mechanics simulations. He has contributed to various studies on elastoplasticity, finite volume methodologies, and renewable energy systems, particularly focusing on floating modular energy islands.

Philip Cardiff

Research Interests

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Articles (20)

One-step SelfSim algorithm: Formulating material models from measured strain fields with machine learning

Performance of a vertex-centred block-coupled finite volume methodology for small-strain static elastoplasticity

Numerical modelling of phase changes in laser materials processing using OpenFOAM

solids4foam: A toolbox for performing solid mechanics and fluid-solid interaction simulations in OpenFOAM

Analysis of Coupling Strategies for Conjugate Heat Transfer Problems

A Finite Volume Framework for Damage and Fracture Prediction in Wire Drawing

A finite volume adaptation of beam-to-beam contact interactions implemented for geometrically exact Simo–Reissner beams

Offshore renewable energies: exploring floating modular energy islands—materials, construction technologies, and life cycle assessment

Offshore renewable energies: A review towards Floating Modular Energy Islands—Monitoring, Loads, Modelling and Control

Accelerated segregated finite volume solvers for linear elastostatics using machine learning

A numerical study of processing parameters and their effect on the melt-track profile in Laser Powder Bed Fusion processes

LaserbeamFoam: Laser Ray-Tracing and Thermally Induced State Transition Simulation Toolkit

Quantifying the impact of bridge geometry and surrounding terrain: wind effects on bridges

Analyzing Wind Effects on Long-Span Bridges: A Viable Numerical Modelling Methodology Using OpenFOAM for Industrial Applications

A finite volume penalty‐based implicit procedure for the treatment of the frictionless contact boundaries

On the major role played by the lumen curvature of intracranial aneurysms walls in determining their mechanical response, local hemodynamics, and rupture likelihood

Fracture toughness of composite-to-composite joints of an elastomer-toughened ethyl cyanoacrylate adhesive for real-time aged batches and an accelerated aged adhesive batch

Finite volume-based supervised machine learning models for linear elastostatics

A General Approach for Running Python Codes in OpenFOAM Using an Embedded PYBIND11 Python Interpreter

A numerical investigation of the mechanics of intracranial aneurysms walls: Assessing the influence of tissue hyperelastic laws and heterogeneous properties on the stress and stretch fields

Collaborators (10)

Jennifer Keenahan

ENZO MARINO

Dermot Brabazon

Mariela Mendez Morales

Vikram Pakrashi

Neal Murphy

Thomas Flint

Michaela Gkantou

Conor Sweeney

Željko Tuković

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