Archive of past events of the site Institute of Mechanics, Materials and Civil Engineering
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PhD Defense : Assessment of the mechanical properties of fusion materials by small specimen testing by Chih-Cheng CHANG (IMAP)19 JanAssessment of the mechanical properties of fusion materials by small specimen testingFuture fusion reactors such as ITER and DEMO will expose materials to extreme conditions including heat loads and high-energy neutron irradiation.Show more
PhD Defense : Assessment of the mechanical properties of fusion materials by small specimen testing by Chih-Cheng CHANG (IMAP)19 JanAssessment of the mechanical properties of fusion materials by small specimen testingFuture fusion reactors such as ITER and DEMO will expose materials to extreme conditions including heat loads and high-energy neutron irradiation. -
PhD Defense : Railway turnout dynamics: on-track experimental and model-based analysis by Raül ACOSTA SUÑÉ (MEED)09 JanLes appareils de voie (aiguillages) sont des éléments essentiels du réseau ferroviaire, mais aussi parmi les plus sujets aux défaillances en raison de leur complexité géométrique et des charges dynamiques, notamment dans des contextes urbains comme Bruxelles.Show more
PhD Defense : Railway turnout dynamics: on-track experimental and model-based analysis by Raül ACOSTA SUÑÉ (MEED)09 JanLes appareils de voie (aiguillages) sont des éléments essentiels du réseau ferroviaire, mais aussi parmi les plus sujets aux défaillances en raison de leur complexité géométrique et des charges dynamiques, notamment dans des contextes urbains comme Bruxelles. -
Learning to Fly: Harnessing High-Performance Computing and Machine Learning for Sustainable Aviation by Paola Cinnella (Université Sorbonne)19 DecAdvances in high-performance computing (HPC) enable the simulation of complex, multiscale flow phenomena relevant to aerospace with unprecedented accuracy, generating vast high-fidelity datasets. In parallel, scientific machine learning (SML) is rapidly transforming the physical sciences.Show more
Learning to Fly: Harnessing High-Performance Computing and Machine Learning for Sustainable Aviation by Paola Cinnella (Université Sorbonne)19 DecAdvances in high-performance computing (HPC) enable the simulation of complex, multiscale flow phenomena relevant to aerospace with unprecedented accuracy, generating vast high-fidelity datasets. In parallel, scientific machine learning (SML) is rapidly transforming the physical sciences. -
PhD Defense : Immobilizing RuBisCO on Biocatalytic Membrane Contactors for CO2 Capture and Utilization by Kamyll DAWN COCON (IMAP)26 NovDecarbonizing hard-to-abate sectors needs CO₂-to-value routes, yet CO₂’s stability makes CCU energy-intensive. This thesis presents a systematic development of biocatalytic membrane contactors for CCU, using RuBisCO, the primary enzyme for CO₂ fixation in Nature, as the central biocatalyst.Show more
PhD Defense : Immobilizing RuBisCO on Biocatalytic Membrane Contactors for CO2 Capture and Utilization by Kamyll DAWN COCON (IMAP)26 NovDecarbonizing hard-to-abate sectors needs CO₂-to-value routes, yet CO₂’s stability makes CCU energy-intensive. This thesis presents a systematic development of biocatalytic membrane contactors for CCU, using RuBisCO, the primary enzyme for CO₂ fixation in Nature, as the central biocatalyst. -
Frontal Polymerization: A Novel, Fast, and Energy-efficient Approach for the Manufacturing of Thermoset Polymers and Composites26 NovTraditional manufacturing techniques of thermoset-matrix fiber-reinforced composites rely primarily on the bulk polymerization of the resin.Show more
Frontal Polymerization: A Novel, Fast, and Energy-efficient Approach for the Manufacturing of Thermoset Polymers and Composites26 NovTraditional manufacturing techniques of thermoset-matrix fiber-reinforced composites rely primarily on the bulk polymerization of the resin. -
Seminar : Harvesting of Polymetallic Nodules: Opportunity for Energy Transition vs. Particulate Pollution by Théo Clotman and Eric Deleersnijder21 NovSeminar to be delivered under the auspices of UCLouvain's semaine de la transitionThe growing global demand for critical minerals to support the low-carbon transition has purred increasing interest in deep-sea mining in the eastern Pacific, particularly the extraction of polymetallic nodules (PMN).Show more
Seminar : Harvesting of Polymetallic Nodules: Opportunity for Energy Transition vs. Particulate Pollution by Théo Clotman and Eric Deleersnijder21 NovSeminar to be delivered under the auspices of UCLouvain's semaine de la transitionThe growing global demand for critical minerals to support the low-carbon transition has purred increasing interest in deep-sea mining in the eastern Pacific, particularly the extraction of polymetallic nodules (PMN). -
TFL Seminar : A Python-based computational toolbox for reduced-order modeling of physical systems by Diego ANGELI (UNIMORE, Italy)04 Nov -
PhD Defense: Robotic Cyber-Physical System for Flow-Device Interactions: Design, Characterization, and Validation by Emile MOREAU (MEED)03 NovThis thesis presents a robotic cyber-physical system (CPS) for real-time fluid–structure interaction experiments, addressing the lack of adaptability in traditional captive setups. The modular platform, currently with four active DoFs and compatible with wind-tunnel and towing-tank use, was engineered via a rigorous Pahl–Beitz process to ensure stiffness and performance.Show more
PhD Defense: Robotic Cyber-Physical System for Flow-Device Interactions: Design, Characterization, and Validation by Emile MOREAU (MEED)03 NovThis thesis presents a robotic cyber-physical system (CPS) for real-time fluid–structure interaction experiments, addressing the lack of adaptability in traditional captive setups. The modular platform, currently with four active DoFs and compatible with wind-tunnel and towing-tank use, was engineered via a rigorous Pahl–Beitz process to ensure stiffness and performance. -
PhD Defense: Particle Finite Element Method with mesh adaptation for modelling free surface flows in complex geometries by Thomas LEYSSENS (MEMA)03 NovThe particle finite element method (PFEM) is a hybrid particle-mesh approach for simulating free-surface fluidflows, combining the accuracy of finite elements with the flexibility of a Lagrangian particle formulation. While particles track the geometric evolution of the domain, a mesh built on them enables solving the governing equations.Show more
PhD Defense: Particle Finite Element Method with mesh adaptation for modelling free surface flows in complex geometries by Thomas LEYSSENS (MEMA)03 NovThe particle finite element method (PFEM) is a hybrid particle-mesh approach for simulating free-surface fluidflows, combining the accuracy of finite elements with the flexibility of a Lagrangian particle formulation. While particles track the geometric evolution of the domain, a mesh built on them enables solving the governing equations. -
PhD Defense: A multi-fidelity, reduced-order modeling framework for the development of digital twins of combustion systems by Aysu OZDEN10 OctClimate change urgently demands reduced greenhouse gas emissions from combustion processes, but developing efficient combustion technologies requires expensive experimental campaigns and computationally intensive high-fidelity simulations.Show more
PhD Defense: A multi-fidelity, reduced-order modeling framework for the development of digital twins of combustion systems by Aysu OZDEN10 OctClimate change urgently demands reduced greenhouse gas emissions from combustion processes, but developing efficient combustion technologies requires expensive experimental campaigns and computationally intensive high-fidelity simulations.