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A1.: Advancements in Point Selection Procedures and Solution Schemes for Reliability Analysis using Probability Density Evolution MethodsTeam:Year: 2024Duration: 01.09.2024-30.08.2027
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A2.: Augmenting Transport Map with Metamodel Tools for Accurate and Efficient Bayesian Framework in Dynamical SystemsTeam:Year: 2024Duration: 01.09.2024 – 30.08.2027
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A3.: Efficient Sampling in Stochastic Simulation of Inelastic Solids via Compressive Sensing TechniquesTeam:Year: 2024Duration: 01.09.2024-30.08.2027
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A4.: Multi-Scale Methods in Time and Space for Random Fatigue SimulationTeam:Year: 2024Duration: 01.09.2024-30.08.2027
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A5.: Physically-Informed Neural Networks (PINNs) Phase-Field (PF) Fracture Modelling of Fiber Reinforced Polymer (FRP) CompositesTeam:Year: 2024Duration: 01.09.2024-30.08.2027
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B1.: Model order reduction for the hierarchically structured multi-scale modelling in geomechanics.Team:Year: 2024Duration: 01.09.2024-30.08.2027
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B2.: Design of multiphase porous meta-materials across scalesTeam:Year: 2024Duration: 01.09.2024-30.08.2027
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B3.: Space-time adaptivity and model order reduction with digital image/volume correlation with application to parameter identification in phase-field fracture simulationsTeam:Year: 2024Duration: 01.09.2024-30.08.2027
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B4.: Space-time fluid-structure interaction with space-time error control and adaptivity in discretization errors and reduced order modelingTeam:Year: 2024Duration: 01.09.2024-30.08.2027
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B5.: New developments for the Virtual Element Method (VEM): robust a posteriori error estimates, adaptive strategies, coupling with reduced order modelingTeam:Year: 2024Duration: 01.09.2024-30.08.2027
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B6.: A space-time formulation for thermodynamic topology optimization for inelastic materialsTeam:Year: 2024Duration: 01.09.2024-30.08.2027
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B7.: Variational modeling of non-Newtonian fluidsTeam:Year: 2024Duration: 01.09.2024-30.08.2027
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C1.: Using a Two-Scale Reduced Basis Approach for Deriving Observation Operators in Inverse ModelingTeam:Year: 2024Duration: 01.09.2024-30.08.2027
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C2.: Efficient Computational Analysis of Composite Joints through Machine Learning Assisted Abstract Modelling TechniquesTeam:Year: 2024Duration: 01.09.2024-30.08.2027
Last Change: 03.04.24
