語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Proceedings of the 5th International...
~
De Cursi, José Eduardo Souza.
Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling = Uncertainties 2020 /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Proceedings of the 5th International Symposium on Uncertainty Quantification and Stochastic Modelling/ edited by José Eduardo Souza De Cursi.
其他題名:
Uncertainties 2020 /
其他作者:
De Cursi, José Eduardo Souza.
面頁冊數:
XII, 472 p. 253 illus., 214 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Mechanical Engineering. -
電子資源:
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 Modelling
Uncertainties 2020 /[electronic resource] :edited by José Eduardo Souza De Cursi. - 1st ed. 2021. - XII, 472 p. 253 illus., 214 illus. in color.online resource. - ABCM Series on Mechanical Sciences and Engineering,2662-303X. - ABCM Series on Mechanical Sciences and 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 (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).
ISBN: 9783030536695
Standard No.: 10.1007/978-3-030-53669-5doiSubjects--Topical Terms:
670827
Mechanical Engineering.
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
:02705nam a22004215i 4500
001
1048149
003
DE-He213
005
20210820133629.0
007
cr nn 008mamaa
008
220103s2021 sz | s |||| 0|eng d
020
$a
9783030536695
$9
978-3-030-53669-5
024
7
$a
10.1007/978-3-030-53669-5
$2
doi
035
$a
978-3-030-53669-5
050
4
$a
TA169.7
050
4
$a
T55-55.3
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
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 José Eduardo Souza De Cursi.
250
$a
1st ed. 2021.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2021.
300
$a
XII, 472 p. 253 illus., 214 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
ABCM Series on Mechanical Sciences and Engineering,
$x
2662-303X
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 (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).
650
2 4
$a
Mechanical Engineering.
$3
670827
650
1 4
$a
Quality Control, Reliability, Safety and Risk.
$3
671184
650
0
$a
Mechanical engineering.
$3
557493
650
0
$a
Industrial safety.
$3
568114
650
0
$a
Reliability.
$3
573603
650
0
$a
Quality control.
$3
573723
700
1
$a
De Cursi, José Eduardo Souza.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1351961
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030536688
776
0 8
$i
Printed edition:
$z
9783030536701
776
0 8
$i
Printed edition:
$z
9783030536718
830
0
$a
ABCM Series on Mechanical Sciences and Engineering,
$x
2662-3021
$3
1309668
856
4 0
$u
https://doi.org/10.1007/978-3-030-53669-5
912
$a
ZDB-2-ENG
912
$a
ZDB-2-SXE
950
$a
Engineering (SpringerNature-11647)
950
$a
Engineering (R0) (SpringerNature-43712)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入