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Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling: Uncertainties 2020 de José Eduardo Souza De Cursi

Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling: Uncertainties 2020: Lecture Notes in Mechanical Engineering

Editat de José Eduardo Souza De Cursi
en Limba Engleză Paperback – 20 aug 2021
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).
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Specificații

ISBN-13: 9783030536718
ISBN-10: 3030536718
Pagini: 472
Ilustrații: XII, 472 p. 253 illus., 214 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.68 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Mechanical Engineering, ABCM Series on Mechanical Sciences and Engineering

Locul publicării:Cham, Switzerland

Cuprins

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.

Textul de pe ultima copertă

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).

Caracteristici

Presents methods for using statistical data Demonstrates design procedures for risk evaluation and reliability analysis Focuses on uncertainty quantification and stochastic modeling