Paper Titles

A Method of Damage Mechanics Analysis for Solder Material
p.367

Some Advances in Study of Crack Identification Problems
p.375

Interacting Multiple Cracks
p.381

A Geometrical Description in Finite Elasto-Plastic Deformation
p.387

Artificial Neural Network Assessment System for Fatigue Life
p.393

Analysis of Damage Moments in the Collective Evolution of Short Fatigue Cracks
p.399

Crack Identification by Artificial Neural Network
p.405

Dynamic Function of Damage and Its Implications
p.411

An Interface for Implicit Constitutive Modelling
p.421

HomeKey Engineering MaterialsKey Engineering Materials Vols. 145-149Artificial Neural Network Assessment System for...

Artificial Neural Network Assessment System for Fatigue Life

Article Preview

Abstract:

You might also be interested in these eBooks

Fracture and Strength of Solids III

Info:

Periodical:

Key Engineering Materials (Volumes 145-149)

Pages:

393-398

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.145-149.393

Citation:

Cite this paper

Online since:

October 1997

Authors:

P. Zeng

Keywords:

Artificial Neural Network (ANN), Assessment, Fatigue Life

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 1998 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation: