東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Proceedings of the 5th International...

International Symposium on Uncertainty Quantification and Stochastic Modelling (2020))

Linked to FindBook

Google Book

Amazon

博客來

Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling = Uncertainties 2020 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling/ edited by Jose Eduardo Souza De Cursi.
Reminder of title:	Uncertainties 2020 /
other author:	Cursi, Jose Eduardo Souza de.
corporate name:	International Symposium on Uncertainty Quantification and Stochastic Modelling
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xii, 472 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Stochastic models - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-030-53669-5
ISBN:	9783030536695

Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling = Uncertainties 2020 /
Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic ModellingUncertainties 2020 /[electronic resource] :edited by Jose Eduardo Souza De Cursi. - Cham :Springer International Publishing :2021. - xii, 472 p. :ill., digital ;24 cm. - Lecture notes in mechanical engineering. - Lecture notes in mechanical engineering..

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.

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 (Mecanique 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)

ISBN: 9783030536695

Standard No.: 10.1007/978-3-030-53669-5doiSubjects--Topical Terms:

920947
Stochastic models
--Congresses.

LC Class. No.: TA169.7

Dewey Class. No.: 658.56

Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling = Uncertainties 2020 /
LDR:02278nmm a2200337 a 4500 001 2235461
003 DE-He213
005 20200819220538.0
006 m d
007 cr nn 008maaau
008 211111s2021 sz s 0 eng d
020 $a 9783030536695 $q (electronic bk.)
020 $a 9783030536688 $q (paper)
024 7 $a 10.1007/978-3-030-53669-5 $2 doi
035 $a 978-3-030-53669-5
040 $a GP $c GP
041 0 $a eng
050 4 $a TA169.7
072 7 $a TGPR $2 bicssc
072 7 $a TEC032000 $2 bisacsh
072 7 $a TGPR $2 thema
082 0 4 $a 658.56 $2 23
090 $a TA169.7 $b .I61 2020
111 2 $a International Symposium on Uncertainty Quantification and Stochastic Modelling $n (5th : $d 2020) $3 3485952
245 1 0 $a Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling $h [electronic resource] : $b Uncertainties 2020 / $c edited by Jose Eduardo Souza De Cursi.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xii, 472 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in mechanical engineering
505 0 $a 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.
520 $a 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 (Mecanique 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)
650 0 $a Stochastic models $v Congresses. $3 920947
650 0 $a Uncertainty (Information theory) $x Congresses. $3 566568
650 0 $a Numerical analysis $x Computer programs $v Congresses. $3 844570
650 0 $a Mechanical engineering $v Congresses. $3 852715
650 1 4 $a Quality Control, Reliability, Safety and Risk. $3 891027
650 2 4 $a Mechanical Engineering. $3 891038
700 1 $a Cursi, Jose Eduardo Souza de. $3 3485953
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in mechanical engineering. $3 1622279
856 4 0 $u https://doi.org/10.1007/978-3-030-53669-5
950 $a Engineering (SpringerNature-11647)