Model Validation and Uncertainty Quantification, Volume 3 Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics 2023
Produktdetaljer
Biografisk notat
Roland Platz–Deggendorf Institute of Technology, Weißenburg, Bavaria, Germany; Garrison Flynn–Los Alamos National Laboratory, Santa Fe, NM, USA; Kyle Neal–Sandia National Laboratories, Albuquerque, NM, USA; Scott Ouellette–Los Alamos National Laboratory, Santa Fe, NM, USAModel Validation and Uncertainty Quantification, Volume 3: Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics, 2023, 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:
Introduction of Uncertainty Quantification
Uncertainty Quantification in Dynamics
Model Form Uncertainty and Selection incl. Round Robin Challenge
Sensor and Information Fusion
Virtual Sensing, Certification, and Real-Time Monitoring
Surrogate Modeling
Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics, 2023, the third volume of ten from the Conference brings together contributions to this important area of research and engineering.
Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics, 2023, 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:
- Introduction of Uncertainty Quantification
- Uncertainty Quantification in Dynamics
- Model Form Uncertainty and Selection incl. Round Robin Challenge
- Sensor and Information Fusion
- Virtual Sensing, Certification, and Real-Time Monitoring
- Surrogate Modeling