Overview
- Presents methods for using statistical data
- Demonstrates design procedures for risk evaluation and reliability analysis
- Focuses on uncertainty quantification and stochastic modeling
Part of the book series: Lecture Notes in Mechanical Engineering (LNME)
Part of the book sub series: ABCM Series on Mechanical Sciences and Engineering (ABCMSMSE)
Included in the following conference series:
Conference proceedings info: Uncertainties 2020.
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Table of contents (33 papers)
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Front Matter
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Modeling and Tools
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Front Matter
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Processes
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Front Matter
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Data Analysis and Identification
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Front Matter
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Other volumes
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Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling
Keywords
About this book
This proceedings book discusses state-of-the-art research on uncertainty quantification in mechanical engineering, including statistical data concerning the entries and parameters of a system to produce statistical data on the outputs of the system. It is based on papers presented at Uncertainties 2020, a workshop organized on behalf of the Scientific Committee on Uncertainty in Mechanics (Mécanique et Incertain) of the AFM (French Society of Mechanical Sciences), the Scientific Committee on Stochastic Modeling and Uncertainty Quantification of the ABCM (Brazilian Society of Mechanical Sciences) and the SBMAC (Brazilian Society of Applied Mathematics).
Editors and Affiliations
Bibliographic Information
Book Title: Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling
Book Subtitle: Uncertainties 2020
Editors: José Eduardo Souza De Cursi
Series Title: Lecture Notes in Mechanical Engineering
DOI: https://doi.org/10.1007/978-3-030-53669-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-53668-8Published: 20 August 2020
Softcover ISBN: 978-3-030-53671-8Published: 20 August 2021
eBook ISBN: 978-3-030-53669-5Published: 19 August 2020
Series ISSN: 2195-4356
Series E-ISSN: 2195-4364
Edition Number: 1
Number of Pages: XII, 472
Number of Illustrations: 39 b/w illustrations, 214 illustrations in colour
Topics: Quality Control, Reliability, Safety and Risk, Mechanical Engineering