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

Mitwirkende(r):

De Cursi, José Eduardo Souza [HerausgeberIn]

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: ABCM Series on Mechanical Sciences and EngineeringVerlag: Cham : Springer International Publishing, 2021Verlag: Cham : Imprint: Springer, 2021Auflage: 1st ed. 2021Beschreibung: 1 Online-Ressource(XII, 472 p. 253 illus., 214 illus. in color.)ISBN:

9783030536695

Schlagwörter:

Andere physische Formen: 9783030536688 | 9783030536701 | 9783030536718 | Erscheint auch als: 9783030536688 Druck-Ausgabe | Erscheint auch als: 9783030536701 Druck-Ausgabe | Erscheint auch als: 9783030536718 Druck-AusgabeDOI: DOI: 10.1007/978-3-030-53669-5Online-Ressourcen:

Zusammenfassung: 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.Zusammenfassung: 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).PPN: PPN: 1728480078Package identifier: Produktsigel: ZDB-2-ENG | ZDB-2-SEB | ZDB-2-SXE

Exemplare ( 0 )

Dieser Titel hat keine Exemplare