Stochastic crack propagation : essential practical aspects /

Stochastic Crack Propagation: Essential Practical Aspects describes a feature important to the analysis of stochastic crack propagation, starting with essential background theory. Processes, or phenomena, which are of practical importance in the work of design engineers or R & D teams are descri...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Maymon, Giora (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Academic Press, [2018]
Temas:
Materials > Fatigue > Mathematical models.
Fracture mechanics > Mathematical models.
Stochastic analysis.
Mat�eriaux > Fatigue > Mod�eles math�ematiques.
M�ecanique de la rupture > Mod�eles math�ematiques.
Analyse stochastique.
TECHNOLOGY & ENGINEERING > Engineering (General)
TECHNOLOGY & ENGINEERING > Reference.
Fracture mechanics > Mathematical models
Materials > Fatigue > Mathematical models
Stochastic analysis
Acceso en línea:Texto completo

MARC

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100 1 |a Maymon, Giora,  |e author. 
245 1 0 |a Stochastic crack propagation :  |b essential practical aspects /  |c Giora Maymon. 
264 1 |a London :  |b Academic Press,  |c [2018] 
300 |a 1 online resource :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
588 0 |a Online resource; title from PDF title page (EBSCO, viewed January, 11, 2018). 
520 |a Stochastic Crack Propagation: Essential Practical Aspects describes a feature important to the analysis of stochastic crack propagation, starting with essential background theory. Processes, or phenomena, which are of practical importance in the work of design engineers or R & D teams are described chapter by chapter. Many examples are described and supported by listed references, and files of data that can be used with specialist software to practice design situations are included. Advice on how to use various computer programs to design and predict for stochastic crack growth is also provided, giving professionals a complete guide. 
650 0 |a Materials  |x Fatigue  |x Mathematical models. 
650 0 |a Fracture mechanics  |x Mathematical models. 
650 0 |a Stochastic analysis. 
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776 0 8 |i Print version:  |z 9780128141915  |z 0128141913  |w (OCoLC)1001456663 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780128141915  |z Texto completo 

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