Philip Cardiff

Scopus Publications

High-order cell-centred finite-volume solid mechanics using a Jacobian-free Newton-Krylov method
Ivan Batistić, Pablo Castrillo, Philip Cardiff
Journal of Computational Physics, 2026
In silico modeling of transcatheter heart valve oversizing and ellipticity, Part I: Establishing credibility of an advanced model
Sam Boxwell, Dylan Armfield, Rachel M.E. Cahalane, William Hickey, Scott Cook, Patricia Kelly, Philip Cardiff, Laoise M. McNamara
Computer Methods and Programs in Biomedicine, 2026
Abstract Background and Objectives Transcatheter aortic valve implantation (TAVI) is the most common modality of treatment for aortic stenosis. However, transcatheter heart valves (THVs) can be prone to early failure and an increase in thrombogenic events, yet the risk factors associated with these failure modes remain poorly understood. Computational modeling may be used to predict biomechanical indices associated with degeneration and thrombogenicity, however existing models do not fully account for complex stent and leaflet material behavior, and establishing model credibility according to ASME VV-40 is required. Methods In this study, we developed an advanced structural and hemodynamic in silico framework to predict the in vitro performance of a supra-annular, self-expanding THV across a range of clinically-relevant expansion and ellipticity indices. The THV was modelled by incorporating a novel 3-fibre material model for pericardium tissue leaflets and a super-elastic nitinol stent. Results Calculation verification was conducted and, on this basis, we provide recommendations on mesh density, element integration and target time increment. Following verification, we validated our models with radial force, structural camera and hemodynamic particle image velocimetry testing across multiple THV deployment configurations. In the ‘min-oversizing, circular’ case, we predicted a similar geometric orifice area (4.35 vs 4.02cm 2 ), pinwheeling index (2.6% vs 2.7%), stent deflection (1.95 vs 1.76mm) and flow velocity (1.33 vs 1.27m/s) to in vitro data. Conclusion Thus, we validated a novel structural and hemodynamic in silico framework for studying THVs, which will be applied to understand deployment factors contributing to structural degeneration and thrombogenicity. This framework also holds potential for guiding next-generation THV design and predictive procedural modeling.
In silico modeling of transcatheter heart valve oversizing and ellipticity, Part II: Effects on leaflet mechanics, hemodynamics, and stent deflection contributing to thrombogenic risk and structural degeneration
Sam Boxwell, Rachel M.E. Cahalane, Dylan Armfield, William Hickey, Scott Cook, Patricia Kelly, Philip Cardiff, Laoise M. McNamara
Computer Methods and Programs in Biomedicine, 2026
BACKGROUND AND OBJECTIVES: Transcatheter aortic valve implantation (TAVI) is the leading treatment for aortic stenosis. Self-expanding transcatheter heart valves (THVs) are oversized to prevent paravalvular leakage and then deployed over the diseased native valve. However, this can result in incomplete expansion and elliptical deployment, which may influence thrombogenic risk and structural degeneration, although this is not fully understood. METHODS: In this study, we utilized a validated in silico framework to assess the impact of THV oversizing and ellipticity on leaflet mechanics, hemodynamic shear stress and stent deformation, which are indicators of structural degeneration and thrombogenicity. We simulated self-expansion of a deformable THV stent within an idealized aortic annulus, applied pulsatile loading conditions representative of the cardiac cycle and then evaluated post-deployment frame deformation, leaflet mechanics, hemodynamics and stent fatigue. RESULTS: We predicted stent-frame decoupling of the supra-annular THV, with increased expansion and circularity at the functional valve level compared to the inflow. THV oversizing reduced valve expansion at the supra-annular valve level (< 90% expansion), which increased leaflet coaptation and pinwheeling, but reduced peak leaflet stresses and stent deflection compared to nominal sizing. Oversizing also altered hemodynamics, causing early mainstream flow separation, which increased leaflet oscillatory shear and viscous shear stress downstream of the THV, potentially increasing thrombogenic risk and promoting tissue degeneration. THV ellipticity induced heterogenous stent deflections, leading to variable leaflet stress distributions and coaptation mismatch. CONCLUSION: We propose that flexible THV stents may mitigate adverse effects of elliptical deployment and emphasize the importance of assessing THV expansion through fluoroscopy and considering post-TAVI balloon-dilatation to increase expansion and improve long-term functional valve performance.
Solid Mechanics Segregated Solver Acceleration With Jacobian-Free Newton-Krylov
Andry Monlon, Alessandro Scolaro, Philip Cardiff, Ivor Clifford, Oskari Pakari, Mathieu Hursin
International Journal for Numerical Methods in Engineering, 2026
The segregated algorithm is a common approach for finite volumes solvers in solid mechanics, providing a memory‐efficient and straightforward implementation. Due to the inter‐coupling of the components through the source terms, it suffers from a slow convergence behavior in specific scenarios, such as geometries with significantly uneven dimensions. Examples of attempts to improve the performance of the segregated algorithm in such cases are available in the literature, for instance, with machine learning or with multigrid acceleration. On the other hand, Newton solvers and Jacobian‐Free Newton‐Krylov method have been successfully applied as standalone solvers for fluid mechanics applications, or even for multi‐physics coupling in nuclear codes. Complementing recent work on Newton‐Krylov as a standalone solver for solid mechanics, this paper proposes a novel approach to tackle the slow convergence issue by coupling the segregated algorithm with a Jacobian‐Free Newton‐Krylov method. The targeted advantage being the performance improvements for pure mechanical simulations with almost no parametrization from the code user. In the article, the method is introduced and benchmarked against the original segregated algorithm and the Anderson acceleration. 2D and 3D steady‐state cases are considered, including small and large deformations, from linear to nonlinear mechanical behaviors. The OpenFOAM Fuel Behavior Analysis Tool (OFFBEAT) is a multidimensional fuel performance code developed jointly by the Paul Scherrer Institute (PSI) and the École Polytechnique Fédérale de Lausanne (EPFL). Using the PETSc library, the innovative coupling with the segregated algorithm has been implemented into OFFBEAT to produce the benchmarks. Still relying on the OpenFOAM framework and the segregated algorithm, the proposed method benefits from the validation of the existing code base. The results, obtained for serial executions, exhibit a promising reduction in computational time and number of iterations to convergence, paving the way for further development in solid mechanics solvers and a possible extension to other physics.
A Jacobian-Free Newton-Krylov Method for Cell-Centred Finite Volume Solid Mechanics
Philip Cardiff, Dylan Armfield, Željko Tuković, Ivan Batistić
International Journal for Numerical Methods in Engineering, 2026
This study proposes a Jacobian‐free Newton‐Krylov approach for finite‐volume solid mechanics. Traditional Newton‐based approaches require explicit Jacobian matrix formation and storage, which can be computationally expensive and memory‐intensive. In contrast, Jacobian‐free Newton‐Krylov methods approximate the Jacobian's action using finite differences, combined with Krylov subspace solvers such as the generalised minimal residual method (GMRES), enabling seamless integration into existing segregated finite‐volume frameworks without major code refactoring. This work proposes and benchmarks the performance of a compact‐stencil Jacobian‐free Newton‐Krylov method against a conventional segregated approach on a suite of test cases that span varying geometric dimensions, nonlinearities, dynamic responses and material behaviours. Key metrics, including computational cost, memory efficiency and robustness, are evaluated, along with the influence of preconditioning strategies and stabilisation scaling. Results show that the proposed Jacobian‐free Newton‐Krylov method outperforms the segregated approach in all linear and nonlinear elastic cases, achieving order‐of‐magnitude speedups in many instances; however, divergence is observed in elastoplastic cases, highlighting areas for further development. It is found that preconditioning choice affects performance: a LU direct solver is fastest for small to moderately sized cases, while a multigrid method is more effective for larger problems. The findings demonstrate that Jacobian‐free Newton‐Krylov methods are promising for advancing finite‐volume solid mechanics simulations, particularly for existing segregated frameworks where minimal modifications enable their adoption. The described implementations are available in the solids4foam toolbox for OpenFOAM, inviting the community to explore, extend and compare these procedures.
A finite volume Simo–Reissner beam method for moored floating body dynamics
Amirhossein Taran, Seevani Bali, Željko Tuković, Vikram Pakrashi, Philip Cardiff
Applied Ocean Research, 2025
This paper presents a novel finite volume mooring line model based on the geometrically exact Simo–Reissner beam model for analysing the interaction between a floating rigid body and its mooring lines. The coupled numerical model is implemented entirely within a finite volume-based discretisation framework using a popular computational fluid dynamics C++ toolbox, OpenFOAM. Unlike existing methods for modelling mooring lines, which rely on lumped mass models or finite element-based approaches, this work simulates the mooring cables using non-linear beam models implemented in a finite volume framework to account for bending, tensile, and torsional loading. This advancement makes the current work particularly valuable for simulating extreme sea conditions. The coupled model developed in this study has been validated and verified using experimental and numerical data for a floating box moored with four catenary mooring lines under regular wave conditions featuring different wave heights and periods. The results demonstrate strong agreement with both experimental and numerical data, highlighting the model’s accuracy in capturing mooring dynamics and floating body motion. • A finite volume-based mooring line model based on Simo–Reissner beam theory. • A unified FV framework in OpenFOAM models the floating body and mooring lines. • The model accurately captures bending, tensile, and torsional loads. • Validation of a Coupled Model for a Catenary-Moored Floating Box in Waves.
One-step SelfSim algorithm: Formulating material models from measured strain fields with machine learning
Simon Rodriguez, Philip Cardiff
Computers and Structures, 2025
This article introduces a method to formulate material models from measured strain fields using machine learning, termed One-step SelfSim. Unlike the original SelfSim algorithm, which requires two simulations—one with measured displacements and another with measured loads—One-step SelfSim only performs the simulation with the measured loads. The training dataset is created by coupling the simulation’s stress results with a measured strain field. The method is applied to an elastoplastic problem, using a recurrent neural network initially trained on linear elastic data to model the behaviour of a steel plate undergoing elastoplastic deformation. Results demonstrate that the machine learning model effectively captures the elastoplastic behaviour, with good agreement between simulation outcomes and expected data, particularly for the displacement field. The model is further tested on a plate with a hole, confirming its applicability in scenarios distinct from the training phase. Two additional contributions are presented. First, the SelfSim algorithm is implemented within a finite volume framework, extending its application beyond finite element simulations. Second, a recurrent neural network is employed to represent history-dependent behaviour, replacing the nested modular neural networks commonly used in earlier studies. • Introduced One-Step SelfSim, a novel machine learning-based approach to derive material models from measured strain fields, bypassing displacement-driven simulations. • Demonstrated the algorithm’s effectiveness in modelling elastoplastic behaviour, utilising recurrent neural networks for history-dependent material responses. • Extended the application of the SelfSim algorithm from finite element methods to the finite volume framework, implemented via OpenFOAM. • Verified the method through test cases, including elastoplastic deformation of a steel plate and its generalisation to a plate with a hole. • Showed significant computational efficiency and improved accuracy over traditional SelfSim, enabling direct integration of modern experimental strain data.
Offshore renewable energies: exploring floating modular energy islands—materials, construction technologies, and life cycle assessment
Enzo Marino, Michaela Gkantou, Abdollah Malekjafarian, Seevani Bali, Charalampos Baniotopoulos, Jeroen van Beeck, Ruben Paul Borg, Niccolo Bruschi, Philip Cardiff, Eleni Chatzi, Ivan Čudina, Florea Dinu, Evangelos Efthymiou, Giulio Ferri, Helena Gervásio, Junlin Heng, Zhiyu Jiang, Stefano Lenci, Ivan Lukačević, Lance Manuel, Angela Meyer, Mariela Méndez-Morales, Adnan Osmanović, Vikram Pakrashi, Amiya Pandit, Giuseppe Rega, Davor Skejić, Luana Tesch, Viorel Ungureanu, Tarik Uzunović, Amrit Shankar Verma
Journal of Ocean Engineering and Marine Energy, 2025
Floating modular energy islands (FMEIs) are modular, interconnected floating structures designed to collectively produce, store, convert, and transport renewable energy. This review aims to establish a foundation for developing innovative approaches to sustainably harness multi-energy sources in offshore environments. It leverages existing technological expertise while exploring new solutions to address specific challenges associated with FMEIs. The review initially presents existing technologies for floating energy structures and assesses their applicability to FMEI. The structural materials that could be utilised for the construction of a floating energy island are subsequently reviewed. Next, the offshore construction technologies suitable for FMEI are reviewed. Finally, studies on the life cycle assessment of hybrid energy systems are examined, highlighting the environmental advantages of integrating multiple renewable energy sources, thereby underscoring the potential of FMEIs.
Performance of a vertex-centred block-coupled finite volume methodology for small-strain static elastoplasticity[Figure presented]
Federico Mazzanti, Philip Cardiff
Computers and Mathematics with Applications, 2025
This article assesses the performance of a vertex-centred block-coupled finite volume methodology for static small-strain elastoplasticity based on a Newton-Raphson algorithm. The proposed coupled solution algorithm is compared with vertex-centred and cell-centred segregated solution procedures in terms of accuracy, efficiency and robustness for quasi-static problems. This coupled methodology is then verified on four test cases: a patch test to check its ability to reproduce first-order polynomials; the method of manufactured solutions to check the order of convergence of displacement and stress; a 2-D perforated plate and a 3-D narrow T-member under elastoplastic conditions to examine the accuracy of the solutions on non-trivial test cases. The proposed methodology demonstrates high accuracy and a computational efficiency of up to 28× speedups over the standard cell-centred segregated approach.
A Finite Volume Framework for Damage and Fracture Prediction in Wire Drawing
Andrew Whelan, Tian Tang, Vikram Pakrashi, Philip Cardiff
International Journal for Numerical Methods in Engineering, 2025
This article presents the implementation of the canonical Lemaitre and Gurson–Tvergaard–Needleman (GTN) damage models and a more recent phase‐field type model within a Lagrangian, geometrically nonlinear, cell‐centred finite volume framework. The proposed segregated solution procedure uses Picard‐type defect (deferred) outer corrections, where the primary unknowns are cell‐centre displacements and pressures. Spurious zero‐energy modes (numerical oscillations in displacement and pressure) are avoided by introducing stabilisation (smoothing) diffusion terms to the pressure and momentum equations. Appropriate scaling of the momentum “Rhie–Chow” stabilisation term is shown to be important in regions of plasticity and damage. To accurately predict damage and fracture in wire drawing where hydrostatic pressure is high, novel variants of the Lemaitre model with crack‐closure and triaxiality effects are proposed. The developed methods are validated against the notched round bar and flat notched bar experimental cases and subsequently applied to the analysis of axisymmetric wire drawing. It is shown that the proposed finite volume approach provides a robust basis for predicting damage in wire drawing, where the proposed novel Lemaitre model with crack‐closure effects was shown to be the most suitable for predicting experimentally observed fracture.
A finite volume adaptation of beam-to-beam contact interactions implemented for geometrically exact Simo–Reissner beams
Seevani Bali, Željko Tuković, Philip Cardiff, Alojz Ivanković, Vikram Pakrashi
Computational Mechanics, 2025
Accelerated segregated finite volume solvers for linear elastostatics using machine learning
Scott Levie, Philip Cardiff
Advances in Engineering Software, 2024
Offshore renewable energies: A review towards Floating Modular Energy Islands—Monitoring, Loads, Modelling and Control
Enzo Marino, Michaela Gkantou, Abdollah Malekjafarian, Seevani Bali, Charalampos Baniotopoulos, Jeroen van Beeck, Ruben Paul Borg, Niccoló Bruschi, Philip Cardiff, Eleni Chatzi, Ivan Čudina, Florea Dinu, Evangelos Efthymiou, Giulio Ferri, Helena Gervásio, Junlin Heng, Zhiyu Jiang, Stefano Lenci, Ivan Lukačević, Lance Manuel, Angela Meyer, Mariela Méndez-Morales, Adnan Osmanović, Vikram Pakrashi, Amiya Pandit, Giuseppe Rega, Davor Skejić, Luana Tesch, Viorel Ungureanu, Tarik Uzunović, Amrit Shankar Verma
Ocean Engineering, 2024
Patient-specific modelling of contact characteristics in the ankle joint following triple arthrodesis in valgus, neutral and varus hindfoot positions
L. Muralidharan, P. Cardiff, R. Flavin, A. Ivanković
Foot, 2024
Investigation on aeroelasticity of morphing wing through dynamic response and virtual structural damping
Smail Boughou, Ivan Batistić, Ashraf Omar, Philip Cardiff, Daniel J. Inman, Radouan Boukharfane
Physics of Fluids, 2024
Effect of bioprosthetic leaflet anisotropy on stent dynamics of Transcatheter Aortic Valve Replacement devices
Dylan Armfield, Sam Boxwell, Laoise McNamara, Scott Cook, Shane Conway, Mert Celikin, Philip Cardiff
Journal of the Mechanical Behavior of Biomedical Materials, 2024
Simulating chemical mixing and molten pool shape in dissimilar welds using thermal fluid dynamics
Parsa Esmati, Thomas Flint, Fatma Akyel, Simon Olschok, Uwe Reisgen, Philip Cardiff, Nicolas O. Larrosa, Nicolò Grilli
International Journal of Heat and Mass Transfer, 2024
Higher education curriculum design for sustainable development: towards a transformative approach
Philip Cardiff, Malgorzata Polczynska, Tina Brown
International Journal of Sustainability in Higher Education, 2024
Development and Numerical Testing of a Model of Equiaxed Alloy Solidification Using a Phase Field Formulation
Abdur Rahman Al Azad, Philip Cardiff, David J. Browne
Metals, 2023
A finite volume penalty-based implicit procedure for the treatment of the frictionless contact boundaries
Ivan Batistić, Philip Cardiff, Alojz Ivanković, Željko Tuković
International Journal for Numerical Methods in Engineering, 2023
Analyzing Wind Effects on Long-Span Bridges: A Viable Numerical Modelling Methodology Using OpenFOAM for Industrial Applications
Yuxiang Zhang, Reamonn MacReamoinn, Philip Cardiff, Jennifer Keenahan
Infrastructures, 2023
On the major role played by the lumen curvature of intracranial aneurysms walls in determining their mechanical response, local hemodynamics, and rupture likelihood
I.L. Oliveira, P. Cardiff, C.E. Baccin, R.T. Tatit, J.L. Gasche
Computers in Biology and Medicine, 2023
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
Tatiana ștefanov, Bernard Ryan, Umair Javaid, Philip Cardiff, Alojz Ivanković, Neal Murphy
Thin Walled Structures, 2023
Quantifying the impact of bridge geometry and surrounding terrain: wind effects on bridges
Yuxiang Zhang, Conor Sweeney, Philip Cardiff, Fergal Cahill, Jennifer Keenahan
Proceedings of the Institution of Civil Engineers Bridge Engineering, 2023
A numerical study of processing parameters and their effect on the melt-track profile in Laser Powder Bed Fusion processes
Gowthaman Parivendhan, Philip Cardiff, Thomas Flint, Željko Tuković, Muhannad Obeidi, Dermot Brabazon, Alojz Ivanković
Additive Manufacturing, 2023
Finite volume-based supervised machine learning models for linear elastostatics
Emad Tandis, Philip Cardiff
Advances in Engineering Software, 2023
laserbeamFoam: Laser ray-tracing and thermally induced state transition simulation toolkit
Thomas F. Flint, Joseph D. Robson, Gowthaman Parivendhan, Philip Cardiff
Softwarex, 2023
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
I.L. Oliveira, P. Cardiff, C.E. Baccin, J.L. Gasche
Journal of the Mechanical Behavior of Biomedical Materials, 2022
A cell-centered finite volume formulation of geometrically exact Simo–Reissner beams with arbitrary initial curvatures
Seevani Bali, Željko Tuković, Philip Cardiff, Alojz Ivanković, Vikram Pakrashi
International Journal for Numerical Methods in Engineering, 2022
beamWeldFoam: Numerical simulation of high energy density fusion and vapourisation-inducing processes
Thomas F. Flint, Gowthaman Parivendhan, Alojz Ivankovic, Michael C. Smith, Philip Cardiff
Softwarex, 2022
Symmetry plane boundary conditions for cell-centered finite-volume continuum mechanics
I. Demirdžić, P. Cardiff
Numerical Heat Transfer Part B Fundamentals, 2022
A finite volume penalty based segment-to-segment method for frictional contact problems
Ivan Batistić, Philip Cardiff, Željko Tuković
Applied Mathematical Modelling, 2022
HIERARCHICAL RVE-BASED MULTISCALE MODELING OF NONLINEAR HETEROGENEOUS MATERIALS USING THE FINITE VOLUME METHOD
Ke Wu, Željko Tukovic, Philip Cardiff, Alojz Ivankovic
International Journal for Multiscale Computational Engineering, 2022
Assessing the Capability of Computational Fluid Dynamics Models in Replicating Wind Tunnel Test Results for the Rose Fitzgerald Kennedy Bridge
Yuxiang Zhang, Philip Cardiff, Fergal Cahill, Jennifer Keenahan
Civileng, 2021
Assessing the compressive and impact behavior of plastic safety toe caps through computational modelling
Pedro Veiga Rodrigues, Bruno Ramoa, Ana Vera Machado, Philip Cardiff, João Miguel Nóbrega
Polymers, 2021
Thirty Years of the Finite Volume Method for Solid Mechanics
P. Cardiff, I. Demirdžić
Archives of Computational Methods in Engineering, 2021
rl_reach: Reproducible reinforcement learning experiments for robotic reaching tasks[Formula presented]
Pierre Aumjaud, David McAuliffe, Francisco J. Rodríguez Lera, Philip Cardiff
Software Impacts, 2021
Wind-induced phenomena in long-span cable-supported bridges: A comparative review of wind tunnel tests and computational fluid dynamics modelling
Yuxiang Zhang, Philip Cardiff, Jennifer Keenahan
Applied Sciences Switzerland, 2021
Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching Tasks
Pierre Aumjaud, David McAuliffe, Francisco Javier Rodríguez-Lera, Philip Cardiff
Advances in Intelligent Systems and Computing, 2021
Ship resistance when operating in floating ice floes: A combined CFD&DEM approach
Luofeng Huang, Jukka Tuhkuri, Bojan Igrec, Minghao Li, Dimitris Stagonas, Alessandro Toffoli, Philip Cardiff, Giles Thomas
Marine Structures, 2020
Mechanical performance of carbon-glass hybrid composite joints in quasi-static tension and tension-tension fatigue
Umair Javaid, Chen Ling, Philip Cardiff
Engineering Failure Analysis, 2020
A patient-specific numerical model of the ankle joint for the analysis of contact pressure distribution
Laxmi Muralidharan, Philip Cardiff, Karen Fitzgerald, Robert Flavin, Alojz Ivanković
Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine, 2020
Investigation of the helicopter downwash effect on pedestrian comfort using CFD
Paul Bernardo, Réamonn Mac Réamoinn, Patrick Young, Diarmuid Brennan, Philip Cardiff, Jennifer Keenahan
Infrastructure Asset Management, 2019
Computational modelling of forces acting on the femur in acetabular fractures: A finite element analysis study
Mark J. Berney, John Gibbons, Ms Karen Fitzgerald, Dr Philip Cardiff, Michael Leonard
Journal of Orthopaedics, 2019
Fluid-structure interaction of a large ice sheet in waves
Luofeng Huang, Kang Ren, Minghao Li, Željko Tuković, Philip Cardiff, Giles Thomas
Ocean Engineering, 2019
Mechanical behaviour of additively-manufactured polymeric octet-truss lattice structures under quasi-static and dynamic compressive loading
Chen Ling, Alessandro Cernicchi, Michael D. Gilchrist, Philip Cardiff
Materials and Design, 2019
Added mass partitioned fluid–structure interaction solver based on a robin boundary condition for pressure
Željko Tuković, Martina Bukač, Philip Cardiff, Hrvoje Jasak, Alojz Ivanković
Openfoam Selected Papers of the 11th Workshop, 2019
Simulation of a ship advancing in floating ice floes
Proceedings of the International Conference on Port and Ocean Engineering Under Arctic Conditions POAC, 2019
The intrinsic fracture property of a rubber-modified epoxy adhesive: Geometrical transferability
Dong Quan, Neal Murphy, Philip Cardiff, Alojz Ivankovic
Engineering Fracture Mechanics, 2018
Deformation of EPS Foam under Combined Compression-Shear Loading: Experimental and Computational Analysis
Chen Ling, Jan Ivens, Philip Cardiff, Michael D. Gilchrist
EPJ Web of Conferences, 2018
Mechanical behaviour of EPS foam under combined compression-shear loading
Chen Ling, Philip Cardiff, Michael D. Gilchrist
Materials Today Communications, 2018
Deformation response of EPS foam under combined compression-shear loading. Part II: High strain rate dynamic tests
Chen Ling, Jan Ivens, Philip Cardiff, Michael D. Gilchrist
International Journal of Mechanical Sciences, 2018
Deformation response of EPS foam under combined compression-shear loading. Part I: Experimental design and quasi-static tests
Chen Ling, Jan Ivens, Philip Cardiff, Michael D. Gilchrist
International Journal of Mechanical Sciences, 2018
Strategies for effective stimulation of multiple perforation clusters in horizontal wells
Ripudaman Manchanda, Eric C. Bryant, Prateek Bhardwaj, Philip Cardiff, Mukul M. Sharma
SPE Production and Operations, 2018
Damage behaviour of nano-modified epoxy adhesives subject to high stress constraint
Dong Quan, Philip Cardiff, Neal Murphy, Alojz Ivankovic
Journal of Adhesion, 2018
Openfoam finite volume solver for fluid-solid interaction
Željko Tuković, Aleksandar Karač, Philip Cardiff, Hrvoje Jasak, Alojz Ivanković
Transactions of Famena, 2018
Advantages of formulating an evolution equation directly for elastic distortional deformation in finite deformation plasticity
M. B. Rubin, P. Cardiff
Computational Mechanics, 2017
A Lagrangian cell-centred finite volume method for metal forming simulation
P. Cardiff, Ž. Tuković, P. De Jaeger, M. Clancy, A. Ivanković
International Journal for Numerical Methods in Engineering, 2017
A block-coupled Finite Volume methodology for linear elasticity and unstructured meshes
P. Cardiff, Ž. Tuković, H. Jasak, A. Ivanković
Computers and Structures, 2016
Three-dimensional fluid-structure interaction simulation with a hybrid RANS-LES turbulence model for applications in transonic flow domain
Bojan Šekutkovski, Ivan Kostić, Aleksandar Simonović, Philip Cardiff, Vladimir Jazarević
Aerospace Science and Technology, 2016
Interfacial separation of a mature biofilm from a glass surface - A combined experimental and cohesive zone modelling approach
Ashkan Safari, Zeljko Tukovic, Philip Cardiff, Maik Walter, Eoin Casey, Alojz Ivankovic
Journal of the Mechanical Behavior of Biomedical Materials, 2016
A 3-D poro-elasto-plastic model for sand production around open-hole and cased & perforated wellbores
50th US Rock Mechanics Geomechanics Symposium 2016, 2016
A new reservoir scale model for fracture propagation and stress reorientation in injection wells
50th US Rock Mechanics Geomechanics Symposium 2016, 2016
On finite volume method implementation of poro-elasto-plasticity soil model
Tian Tang, Ole Hededal, Philip Cardiff
International Journal for Numerical and Analytical Methods in Geomechanics, 2015
A new model for hydraulic fracture growth in unconsolidated sands with plasticity and leak-off
Dongkeun Lee, Philip Cardiff, Eric C. Bryant, Ripudaman Manchanda, Haotian Wang, Mukul M. Sharma
Proceedings SPE Annual Technical Conference and Exhibition, 2015
A New Model for Hydraulic Fracture Growth in Unconsolidated Sands with Plasticity and Leak-Off
Dongkeun Lee, Philip Cardiff, Eric C. Bryant, Ripudaman Manchanda, Haotian Wang, Mukul M. Sharma
SPE Annual Technical Conference Proceedings, 2015
Evolving parametric aircraft models for design exploration and optimisation
Jonathan Byrne, Philip Cardiff, Anthony Brabazon, Michael O׳Neill
Neurocomputing, 2014
Development of mapped stress-field boundary conditions based on a Hill-type muscle model
P. Cardiff, A. Karač, D. FitzPatrick, R. Flavin, A. Ivanković
International Journal for Numerical Methods in Biomedical Engineering, 2014
A large strain finite volume method for orthotropic bodies with general material orientations
P. Cardiff, A. Karač, A. Ivanković
Computer Methods in Applied Mechanics and Engineering, 2014
Evolving an aircraft using a parametric design system
Jonathan Byrne, Philip Cardiff, Anthony Brabazon, Michael O’Neill
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2014
Development of a hip joint model for finite volume simulations
P. Cardiff, A. Karač, D. FitzPatrick, R. Flavin, A. Ivanković
Journal of Biomechanical Engineering, 2014
Development of a finite volume contact solver based on the penalty method
P. Cardiff, A. Karač, A. Ivanković
Computational Materials Science, 2012

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