|
|
|
|
| LEADER |
03227nam a22005415i 4500 |
| 001 |
978-3-319-12877-1 |
| 003 |
DE-He213 |
| 005 |
20151103125306.0 |
| 007 |
cr nn 008mamaa |
| 008 |
141119s2015 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
|
| 040 |
|
|
|d GrThAP
|
| 050 |
|
4 |
|a TA405-409.3
|
| 050 |
|
4 |
|a QA808.2
|
| 072 |
|
7 |
|a TG
|2 bicssc
|
| 072 |
|
7 |
|a TEC009070
|2 bisacsh
|
| 072 |
|
7 |
|a TEC021000
|2 bisacsh
|
| 082 |
0 |
4 |
|a 620.1
|2 23
|
| 100 |
1 |
|
|a Radu, Vasile.
|e author.
|
| 245 |
1 |
0 |
|a Stochastic Modeling of Thermal Fatigue Crack Growth
|h [electronic resource] /
|c by Vasile Radu.
|
| 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 Engineering.
|
| 650 |
|
0 |
|a Continuum mechanics.
|
| 650 |
|
0 |
|a Industrial engineering.
|
| 650 |
|
0 |
|a Production engineering.
|
| 650 |
|
0 |
|a Nuclear engineering.
|
| 650 |
|
0 |
|a Structural materials.
|
| 650 |
1 |
4 |
|a Engineering.
|
| 650 |
2 |
4 |
|a Continuum Mechanics and Mechanics of Materials.
|
| 650 |
2 |
4 |
|a Industrial and Production Engineering.
|
| 650 |
2 |
4 |
|a Nuclear Engineering.
|
| 650 |
2 |
4 |
|a Structural Materials.
|
| 710 |
2 |
|
|a SpringerLink (Online service)
|
| 773 |
0 |
|
|t Springer eBooks
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783319128764
|
| 830 |
|
0 |
|a Applied Condition Monitoring,
|x 2363-698X ;
|v 1
|
| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-3-319-12877-1
|z Full Text via HEAL-Link
|
| 912 |
|
|
|a ZDB-2-ENG
|
| 950 |
|
|
|a Engineering (Springer-11647)
|
