Overview
- Shares cutting edge uncertainty quantification ideas with a wide audience
- Draws together the work of engineers, mathematicians, physicists, and statisticians
- Provides a view of a traditionally mathematical topics from an engineering perspective
Part of the book series: PoliTO Springer Series (PTSS)
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Table of contents (11 chapters)
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Front Matter
Keywords
About this book
This book provides an overview of state-of-the-art uncertainty quantification (UQ) methodologies and applications, and covers a wide range of current research, future challenges and applications in various domains, such as aerospace and mechanical applications, structure health and seismic hazard, electromagnetic energy (its impact on systems and humans) and global environmental state change. Written by leading international experts from different fields, the book demonstrates the unifying property of UQ theme that can be profitably adopted to solve problems of different domains. The collection in one place of different methodologies for different applications has the great value of stimulating the cross-fertilization and alleviate the language barrier among areas sharing a common background of mathematical modeling for problem solution. The book is designed for researchers, professionals and graduate students interested in quantitatively assessing the effects of uncertainties in their fields of application. The contents build upon the workshop “Uncertainty Modeling for Engineering Applications” (UMEMA 2017), held in Torino, Italy in November 2017.
Editors and Affiliations
About the editor
Flavio G. Canavero is professor of Circuit Theory and Electromagnetic Compatibility at Politecnico di Torino, Italy. His research interests include: signal integrity and electromagnetic compatibility, modeling of lossy and non-uniform interconnects, circuit equivalents via model order reduction, behavioral modeling of digital devices, field coupling to multiwire cables, statistical methods in EMC, interaction of electromagnetic radiation with biological systems, remote sensing of the atmosphere.
Bibliographic Information
Book Title: Uncertainty Modeling for Engineering Applications
Editors: Flavio Canavero
Series Title: PoliTO Springer Series
DOI: https://doi.org/10.1007/978-3-030-04870-9
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-04869-3Published: 16 January 2019
eBook ISBN: 978-3-030-04870-9Published: 29 December 2018
Series ISSN: 2509-6796
Series E-ISSN: 2509-7024
Edition Number: 1
Number of Pages: VIII, 184
Number of Illustrations: 9 b/w illustrations, 88 illustrations in colour
Topics: Computational Intelligence, Quality Control, Reliability, Safety and Risk, Probability Theory and Stochastic Processes