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Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling Uncertainties 2020
Title
Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling [electronic resource] : Uncertainties 2020 / edited by José Eduardo Souza De Cursi.
ISBN
9783030536695
Edition
1st ed. 2021.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2021.
Physical Description
1 online resource (XII, 472 p.) 253 illus., 214 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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).
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
January 21, 2021
Series
ABCM Series on Mechanical Sciences and Engineering,
Contents
Modeling and Tools
Stick-slip oscillations in a stochastic multiphysics system
Coupled lateral-torsional drill-string with uncertainties
Processes
Uncertainty quantification in subsea lifting operations
Data Analysis and Identification
Uncertainty Quantification in risk modeling: the case of customs supply chain
Uncertainty analysis and estimation
Uncertainty propagation in wind turbine blade load actions
Optimization
Uncertainty Quantification of Pareto Fronts
Author Index.
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