Model Validation and Uncertainty Quantification, Volume 3
Author | : Zhu Mao |
Publisher | : Springer Nature |
Total Pages | : 187 |
Release | : 2022-01-01 |
ISBN-13 | : 9783030773489 |
ISBN-10 | : 3030773485 |
Rating | : 4/5 (85 Downloads) |
Download or read book Model Validation and Uncertainty Quantification, Volume 3 written by Zhu Mao and published by Springer Nature. This book was released on 2022-01-01 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model Validation and Uncertainty Quantification, Volume 3: Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics, 2021, the third volume of nine 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: Inverse Problems and Uncertainty Quantification Controlling Uncertainty Validation of Models for Operating Environments Model Validation & Uncertainty Quantification: Decision Making Uncertainty Quantification in Structural Dynamics Uncertainty in Early Stage Design Computational and Uncertainty Quantification Tools