Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling: Lecture Notes in Mechanical Engineering
Editat de José Eduardo Souza de Cursien Limba Engleză Hardback – 20 aug 2020
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Specificații
ISBN-13: 9783030536688
ISBN-10: 3030536688
Pagini: 484
Ilustrații: XII, 472 p. 253 illus., 214 illus. in color.
Dimensiuni: 160 x 241 x 32 mm
Greutate: 0.89 kg
Ediția:1st ed. 2021
Editura: Springer
Seria Lecture Notes in Mechanical Engineering
Locul publicării:Cham, Switzerland
ISBN-10: 3030536688
Pagini: 484
Ilustrații: XII, 472 p. 253 illus., 214 illus. in color.
Dimensiuni: 160 x 241 x 32 mm
Greutate: 0.89 kg
Ediția:1st ed. 2021
Editura: Springer
Seria Lecture Notes in Mechanical 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