Bookcover of ANN Modeling for Prediction of Fatigue Crack Growth Rate
Booktitle:

ANN Modeling for Prediction of Fatigue Crack Growth Rate

LAP LAMBERT Academic Publishing (2018-10-17 )

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ISBN-13:

978-613-9-93069-2

ISBN-10:
6139930693
EAN:
9786139930692
Book language:
English
Blurb/Shorttext:
Fatigue crack growth is one of the most important factors in the design of the different mechanical structures. Different models were developed to predict the fatigue crack growth rate. These models cannot be used for different materials to predict the fatigue crack growth rate and examine the effect of different parameters.The neural network is a complicated nonlinear dynamic system with the ability of prediction based on real time information. It is a good tool to develop quantitative predictive method for the fatigue crack growth rate based on experimental data. The prediction of crack retardation using ANN shows greater accuracy as compared to the wheeler model. The overload application reduces the crack growth and results in enhanced fatigue life.
Publishing house:
LAP LAMBERT Academic Publishing
Website:
https://www.lap-publishing.com/
By (author) :
Saurabh Kumar Gupta
Number of pages:
64
Published on:
2018-10-17
Stock:
Available
Category:
Mechanical engineering, manufacturing technology
Price:
39.90 €
Keywords:
ANN, Fatigue, FCGR

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