Overview
Fluid-structure interaction (FSI) is fundamental for many processes and applications in nature, science and engineering. It ensures the functionality of various biomechanical systems and engineering devices including, for instance, the vascular system, hydraulics, aeroplanes, parachutes and the mechanics of diving and swimming. In particular, FSI is exploited in renewable energy technology namely in wave energy converters, wind and water turbines. On the other hand, FSI may jeopardise safety and functionality or even cause failure. Examples range from aneurysms to aquaplaning and include wing flutter, storm and flood damage. The detailed understanding of FSI phenomena is therefore of great importance.
The variables that drive FSI are generally difficult to measure. In the industrial context, the construction and testing of prototypes is expensive and time consuming. Hence, the computer simulation of dynamic FSI allows to better understand and predict the system behaviour. It can shorten design cycles and facilitate technical innovation. The computational strategies must be efficient, robust and accurate.
Despite significant advances of recent years, crucial challenges remain in the areas of spatial discretisation and in the resolution of the strong coupling between the fluid and solid phases.
Our Facilities
Key Enabling Technologies:
- High-Performance Computing
Specialist Area Leads
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Professor Wulf Dettmer
Available for Postgraduate Supervision Profile Professor Wulf Dettmer’s research interests include: Please visit their personal webpage here. Area of Expertise Projects Specialist Areas Events
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Professor Djordje Peric
Available for Postgraduate Supervision Profile Specialist Subjects: Computational methods in solid, structural and fluid mechanicsComputational modelling of material behaviourMultiscale modelling of materials and structuresFluid-structure interactionFree surface and interface flowsAdaptive solution strategies for non-linear problems Area of Expertise Projects Specialist Areas Events
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Professor Chenfeng Li
Profile Chenfeng Li FLSW, Professor of Civil Engineering, is internationally recognized for pioneering research in engineering computation, data analytics, uncertainty quantification, and risk assessment. He has developed innovative computational solutions to tackle complex technical challenges across civil infrastructure, materials, manufacturing, and energy sectors. His expertise is widely valued by leading organizations in infrastructure and construction, including ARUP, Costain, Bauer, and Soletanche Bachy.…
Projects
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Digital Twinning for Temporary Works Enabling Safe and Economic Project Implementation
Project Overview The construction industry currently relies on engineers, experience, prescribed codes and manual design processes to deliver buildings andinfrastructures. Due to the growing scale and complexity of construction projects, this existing system has become inefficient and costly. In some cases, it has even compromised safety and quality. Digital technology has significantly improved other industries…
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Cyber Physical modelling of Deep Pile Foundations
Project Overview This project aims to develop a cyber-physical model of deep pile foundations to enhance the construction process through real-time monitoring, simulation, and data-driven decision-making. By integrating computational fluid dynamics (CFD) with sensor-based data acquisition and concrete flow simulation using tools like OpenFOAM, the model will provide valuable insights into the behavior of tremie…
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Image-based Digital Testing for Functional Construction Materials
Project Overview This project integrates physical modelling, data analysis, and microstructural characterisation into long-term product assessment tests. Traditional construction material assessments are costly and time-consuming, limiting industry innovation. By leveraging microstructural imaging, this research aims to simulate and eventually predict accurate material behaviour through structural analysis, enhancing the development of functional construction materials. Project Aims…
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Smart digital representation and reconstruction in material science with AI and computer vision
Project Overview This project aims to integrate computer vision and artificial intelligence into materials science, utilizing deep learning and other AI methodologies to enable efficient and cost-effective digital characterization and reconstruction of heterogeneous materials. By advancing the application of emerging AI technologies, this research seeks to accelerate the development of materials informatics and enhance digital…
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Explicit and Implicit Finite Element Techniques
Project Overview Explicit and Implicit Finite Element Techniques Applied to Mechanical and Coupled Geomechanical Problems October 2018-March 2022 In this work we determine the classes of problems within computational geomechanics where the staggered or fully implicit monolithic coupling schemes are most effective. These techniques can be applied in industries such as civil engineering and the energy-based sector, in particular the oil and gas industry.…
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Numerical Modelling of Concrete Rheology in Deep Foundation Constructions
Project Overview Defects such as mattressing, inclusions, blockage and bleed caused by insufficient concrete flow or sub-par concrete quality within deep foundation constructions lead to costly delays that impact all project stakeholders. This research aims to use multiphase flow modelling to further our understanding of the mechanisms that impact concrete flow within deep foundations like…
Events
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Zienkiewicz Institute Community Event – 19th November 2025
Date: 19th November 2025 Time: 13:30 – 15:30 Location: Engineering North, 102 Speakers: Oubay Hassan, Siraj Shaikh Overview of Event: Dear colleague, For the upcoming ZI community event, Professor Oubay Hassan and Professor Siraj Shaikh have kindly agreed to share their recent experience in winning a Programme Grant and a Prosperity Partnership Grant. Date: Wednesday…
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Zienkiewicz Institute Community Event for Grant Calls
Time: 15th October 2025 Location: Eng North 010 and 008 Speakers: Overview of the Conference: The next Zienkiewicz Institute community event will be held on Wednesday, 15th October 2025. It will focus on the following three grant calls: UKRI Artificial Intelligence for Environmental Science Phase One (Deadline 11 December 2025) UKRK Addressing Nuclear Fission Challenges for a…
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Networking Session and Lunch at the Distinguished Zienkiewicz Institute Seminar Organized by ZI PGR Society
Time: 12:00 pm – 15:00 pm, 8th October 2025 Location: The atrium area in the computational foundry Speakers: Dr Royston Jones is CTO, Altair Product Design & Senior Vice President, Global Automotive Vertical List of Participants: ZI-PGR society and members of ZI community Contact Information: Mohsin Ali (ZI-PGR society President), email: mohsin.ali@Swansea.ac.uk Overview of the…
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Zienkiewicz Institute Community Event – July 2025
Time: 23rd July 2025 Location: B001, Engineering Central, Bay Campus Speakers: Chenfeng Li, Arnold Beckmann, Djordje Peric, Khiêm Vu Ngoc, Fabio Caraffini, PhD Students Overview of the Conference: Programme:• 09:30-10:00: Welcome coffee & collection of your FREE ZI polo shirt• 10:00-11:00: Celebrating ZI’s achievements and looking ahead to new opportunities.• 11:00-12:00: Launch of the ZI…
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MadeAI2025: The 2nd International Conference of Modelling, Data Analytics and AI in Engineering
Conference Introduction: This event serves as a dynamic platform for the exchange of ground breaking ideas and insights. Delve into the powerful synergy of modelling, data analytics, and AI in engineering, uncovering new opportunities to advance innovation and solve complex challenges. The conference is dedicated to driving research and fostering transformative breakthroughs in these fields,…
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Computational Methods for Multiscale, Multiuncertainty and Multiphysics Problems
Conference Introduction: Over the past two decades, research in multi-physics, multi-scale, and multi-uncertainty modeling has grown significantly, driven by advances in mathematical methods, numerical strategies, and computational power. This field integrates homogenization, parallel computing, and stochastic analysis, with applications ranging from materials science to biomedical engineering. The CM3P(Computational Methods for Multiscale, Multi-uncertainty and Multi-physics Problems)…
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Registration open for event with Hartree Centre
“Extreme Scaling Computing and Emerging Computational Approaches in Science and Engineering” Find further programme details here Venue: Y Twyni, Room 105 (Bay Campus) Registration Deadline: Wed 18th September Register here The main purpose of the workshop is to scope future collaborations between Swansea and the Hartree Centre. Subjects covered include Artificial Intelligence, Automotive, Transport and Logistics, Computational Chemistry,…