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
Stochastic Modeling of Thermal Fatig...
~
SpringerLink (Online service)
Stochastic Modeling of Thermal Fatigue Crack Growth
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Stochastic Modeling of Thermal Fatigue Crack Growth/ by Vasile Radu.
作者:
Radu, Vasile.
面頁冊數:
XIV, 90 p. 23 illus., 6 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Mechanics. -
電子資源:
https://doi.org/10.1007/978-3-319-12877-1
ISBN:
9783319128771
Stochastic Modeling of Thermal Fatigue Crack Growth
Radu, Vasile.
Stochastic Modeling of Thermal Fatigue Crack Growth
[electronic resource] /by Vasile Radu. - 1st ed. 2015. - XIV, 90 p. 23 illus., 6 illus. in color.online resource. - Applied Condition Monitoring,12363-698X ;. - Applied Condition Monitoring,1.
Introduction -- Background on stochastic models for cumulative damage process -- Basic mathematical tools for stochastic fatigue analysis -- Stochastic model for thermal fatigue crack growth -- Application -- Conclusions.
The book describes a systematic stochastic modeling approach for assessing thermal-fatigue crack-growth in mixing tees, based on the power spectral density of temperature fluctuation at the inner pipe surface. It shows the development of a frequency-temperature response function in the framework of single-input, single-output (SISO) methodology from random noise/signal theory under sinusoidal input. The frequency response of stress intensity factor (SIF) is obtained by a polynomial fitting procedure of thermal stress profiles at various instants of time. The method, which takes into account the variability of material properties, and has been implemented in a real-world application, estimates the probabilities of failure by considering a limit state function and Monte Carlo analysis, which are based on the proposed stochastic model. Written in a comprehensive and accessible style, this book presents a new and effective method for assessing thermal fatigue crack, and it is intended as a concise and practice-oriented guide for all undergraduate students, young scientists and researchers dealing with probabilistic assessment of structural integrity. .
ISBN: 9783319128771
Standard No.: 10.1007/978-3-319-12877-1doiSubjects--Topical Terms:
527684
Mechanics.
LC Class. No.: TA349-359
Dewey Class. No.: 531
Stochastic Modeling of Thermal Fatigue Crack Growth
LDR
:02777nam a22004095i 4500
001
962159
003
DE-He213
005
20200630104717.0
007
cr nn 008mamaa
008
201211s2015 gw | s |||| 0|eng d
020
$a
9783319128771
$9
978-3-319-12877-1
024
7
$a
10.1007/978-3-319-12877-1
$2
doi
035
$a
978-3-319-12877-1
050
4
$a
TA349-359
072
7
$a
TGMD
$2
bicssc
072
7
$a
SCI096000
$2
bisacsh
072
7
$a
TGMD
$2
thema
082
0 4
$a
531
$2
23
100
1
$a
Radu, Vasile.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1064190
245
1 0
$a
Stochastic Modeling of Thermal Fatigue Crack Growth
$h
[electronic resource] /
$c
by Vasile Radu.
250
$a
1st ed. 2015.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2015.
300
$a
XIV, 90 p. 23 illus., 6 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
Applied Condition Monitoring,
$x
2363-698X ;
$v
1
505
0
$a
Introduction -- Background on stochastic models for cumulative damage process -- Basic mathematical tools for stochastic fatigue analysis -- Stochastic model for thermal fatigue crack growth -- Application -- Conclusions.
520
$a
The book describes a systematic stochastic modeling approach for assessing thermal-fatigue crack-growth in mixing tees, based on the power spectral density of temperature fluctuation at the inner pipe surface. It shows the development of a frequency-temperature response function in the framework of single-input, single-output (SISO) methodology from random noise/signal theory under sinusoidal input. The frequency response of stress intensity factor (SIF) is obtained by a polynomial fitting procedure of thermal stress profiles at various instants of time. The method, which takes into account the variability of material properties, and has been implemented in a real-world application, estimates the probabilities of failure by considering a limit state function and Monte Carlo analysis, which are based on the proposed stochastic model. Written in a comprehensive and accessible style, this book presents a new and effective method for assessing thermal fatigue crack, and it is intended as a concise and practice-oriented guide for all undergraduate students, young scientists and researchers dealing with probabilistic assessment of structural integrity. .
650
0
$a
Mechanics.
$3
527684
650
0
$a
Mechanics, Applied.
$3
596630
650
0
$a
Industrial engineering.
$3
679492
650
0
$a
Production engineering.
$3
566269
650
0
$a
Nuclear energy.
$3
555158
650
0
$a
Structural materials.
$3
1253576
650
1 4
$a
Solid Mechanics.
$3
1211586
650
2 4
$a
Industrial and Production Engineering.
$3
593943
650
2 4
$a
Nuclear Energy.
$3
883468
650
2 4
$a
Structural Materials.
$3
677176
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783319128788
776
0 8
$i
Printed edition:
$z
9783319128764
776
0 8
$i
Printed edition:
$z
9783319385198
830
0
$a
Applied Condition Monitoring,
$x
2363-698X ;
$v
1
$3
1256977
856
4 0
$u
https://doi.org/10.1007/978-3-319-12877-1
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