Costas Papadimitriou – författare

Topics in Model Validation and Uncertainty Quantification, Volume : Proceedings of the 31st IMAC, A Conference and Exposition on Structural Dynamics, 2013, the fifth volume of seven from the Conference, brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Structural Dynamics, including papers on:

Uncertainty Quantification & Propagation in Structural Dynamics

Robustness to Lack of Knowledge in Design

Model Validation

This book combines a model reduction technique with an efficient parametrization scheme for the purpose of solving a class of complex and computationally expensive simulation-based problems involving finite element models. These problems, which have a wide range of important applications in several engineering fields, include reliability analysis, structural dynamic simulation, sensitivity analysis, reliability-based design optimization, Bayesian model validation, uncertainty quantification and propagation, etc.  The solution of this type of problems requires a large number of dynamic re-analyses. To cope with this difficulty, a model reduction technique known as substructure coupling for dynamic analysis is considered. While the use of reduced order models alleviates part of the computational effort, their repetitive generation during the simulation processes can be computational expensive due to the substantial computational overhead that arises at the substructure level. Inthis regard, an efficient finite element model parametrization scheme is considered.  When the division of the structural model is guided by such a parametrization scheme, the generation of a small number of reduced order models is sufficient to run the large number of dynamic re-analyses. Thus, a drastic reduction in computational effort is achieved without compromising the accuracy of the results. The capabilities of the developed procedures are demonstrated in a number of simulation-based problems involving uncertainty.

Model Validation and Uncertainty Quantification, Volume 3.  Proceedings of the 33rd IMAC, A Conference and Exposition on Balancing Simulation and Testing, 2015, the third volume of ten from the Conference brings together contributions to this important area of research and engineering.  The collection presents early findings and case studies on fundamental and applied aspects of Structural Dynamics, including papers on:

Uncertainty Quantification & Model Validation

Uncertainty Propagation in Structural Dynamics

Bayesian & Markov Chain Monte Carlo Methods

Practical Applications of MVUQ

Advances in MVUQ & Model Updating

Model Validation and Uncertainty Quantifi cation, Volume 3. Proceedings of the 34th IMAC, A Conference and Exposition on Dynamics of Multiphysical Systems: From Active Materials to Vibroacoustics, 2016, the third volume of ten from the Conference brings together contributions to this important area of research and engineering. Th e collection presents early findings and case studies on fundamental and applied aspects of Structural Dynamics, including papers on:

• Uncertainty Propagation in Structural Dynamics

• Bayesian & Markov Chain Monte Carlo Methods

• Practical Applications of MVUQ

• Advances in MVUQ & Model Updating

• Robustness in Design & Validation

Model Validation and Uncertainty Quantification, Volume 3:  Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics, 2017, the third volume of ten from the Conference brings together contributions to this important area of research and engineering.  The collection presents early findings and case studies on fundamental and applied aspects of Model Validation and Uncertainty Quantification, including papers on:

Uncertainty Quantification in Material Models

Uncertainty Propagation in Structural Dynamics

Practical Applications of MVUQ

Advances in Model Validation & Uncertainty Quantification: Model Updating

Model Validation & Uncertainty Quantification: Industrial Applications

Controlling Uncertainty

Uncertainty in Early Stage Design

Modeling of Musical Instruments