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Information Entropy Approach to Optimal Sensor Placement for Reconstructing Structural Vibrations.

Project: DyVirt

Updated at: 28-04-2024

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On the Dynamic Virtualization of a 3D-Printed Scaled Wind Turbine Blade. 40th IMAC

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Updated at: 28-04-2024

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Data Features-Based Likelihood-Informed Bayesian Finite Element Model Updating.

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Updated at: 28-04-2024

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Foundations of population-based SHM, Part IV: The geometry of spaces of structures and their feature spaces

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Machine Learning Approach to Model Order Reduction of Nonlinear Systems via Autoencoder and LSTM Networks

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Hierarchical Bayesian Learning for Structural Damage Identification

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Virtual Sensing for Wind Turbine Blade Full Field Response Estimation in Operational Modal Analysis

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Stability and reflection/transmission analysis of a dynamic hybrid coupling scheme for elastic wave propagation.

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Bayesian Learning in Multi-Level Modeling of Dynamical Systems using Multi-Level Data

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Project acronym DyVirt

Information Entropy Approach to Optimal Sensor Placement for Reconstructing Structural Vibrations.

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Micomechanical Modeling and Estimation of Elastic Properties of Pure MXene Films.

Project: DyVirt

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Project acronym DyVirt

Numerical and experimental investigations of pure MXene (Ti3C2Tx) film and MXene nanocomposites for structural health mo...

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Project acronym DyVirt

On the application of generative adversarial networks for nonlinear modal analysis

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Project acronym DyVirt

Data-driven prediction and origin identification of epidemics in population networks.

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Updated at: 28-04-2024

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Project acronym DyVirt

On the Dynamic Virtualization of a 3D-Printed Scaled Wind Turbine Blade

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Updated at: 28-04-2024

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Project acronym DyVirt

A virtual sensing approach to operational modal analysis for wind turbine blades

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Project acronym DyVirt

On the Potential of Dynamic Sub-structuring Methods for Model Updating

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Updated at: 28-04-2024

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Bayesian Uncertainty Quantification for Data-Driven Hierarchical Modeling in Structural Dynamics

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Real-Time and Stochastic Hybrid Simulation

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Workshop 1

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A probabilistic approach towards uncertainty quantification in joined structures

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On the use of Nonlinear Normal Modes for Nonlinear Reduced Order Modelling

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Hierarchical Bayesian modeling framework for model updating and robust predictions in structural dynamics using modal fe...

Project: DyVirt

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Project acronym DyVirt

Information Theoretic-Based Optimal Sensor Placement for Virtual Sensing using Augmented Kalman Filtering

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Project acronym DyVirt

Three-level verification and validation approach for motorcycle subsystem testing using physical/virtual co-simulation

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Numerical modeling and analysis of acoustic emission crack sources. The 12th International Conference on Computational M...

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Final science report WP2

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Adaptive model predictive control for actuation dynamics compensation in real-time hybrid simulation

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Computationally efficient hierarchical Bayesian modeling framework for learning embedded model uncertainties

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On generating parametrised structural data using conditional generative adversarial networks

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Resources

Selected filters:

Information Entropy Approach to Optimal Sensor Placement for Reconstructing Structural Vibrations.

On the Dynamic Virtualization of a 3D-Printed Scaled Wind Turbine Blade. 40th IMAC

Data Features-Based Likelihood-Informed Bayesian Finite Element Model Updating.

Foundations of population-based SHM, Part IV: The geometry of spaces of structures and their feature spaces

Machine Learning Approach to Model Order Reduction of Nonlinear Systems via Autoencoder and LSTM Networks

Hierarchical Bayesian Learning for Structural Damage Identification

Virtual Sensing for Wind Turbine Blade Full Field Response Estimation in Operational Modal Analysis

Stability and reflection/transmission analysis of a dynamic hybrid coupling scheme for elastic wave propagation.

Bayesian Learning in Multi-Level Modeling of Dynamical Systems using Multi-Level Data

Information Entropy Approach to Optimal Sensor Placement for Reconstructing Structural Vibrations.

Micomechanical Modeling and Estimation of Elastic Properties of Pure MXene Films.

Numerical and experimental investigations of pure MXene (Ti3C2Tx) film and MXene nanocomposites for structural health mo...

On the application of generative adversarial networks for nonlinear modal analysis

Data-driven prediction and origin identification of epidemics in population networks.

On the Dynamic Virtualization of a 3D-Printed Scaled Wind Turbine Blade

A virtual sensing approach to operational modal analysis for wind turbine blades

On the Potential of Dynamic Sub-structuring Methods for Model Updating

Bayesian Uncertainty Quantification for Data-Driven Hierarchical Modeling in Structural Dynamics

Real-Time and Stochastic Hybrid Simulation

Workshop 1

A probabilistic approach towards uncertainty quantification in joined structures

On the use of Nonlinear Normal Modes for Nonlinear Reduced Order Modelling

Hierarchical Bayesian modeling framework for model updating and robust predictions in structural dynamics using modal fe...

Information Theoretic-Based Optimal Sensor Placement for Virtual Sensing using Augmented Kalman Filtering

Three-level verification and validation approach for motorcycle subsystem testing using physical/virtual co-simulation

Numerical modeling and analysis of acoustic emission crack sources. The 12th International Conference on Computational M...

Final science report WP2

Adaptive model predictive control for actuation dynamics compensation in real-time hybrid simulation

Computationally efficient hierarchical Bayesian modeling framework for learning embedded model uncertainties

On generating parametrised structural data using conditional generative adversarial networks