Paper Title:
Neural Networks with Radial Basis Function and NARX Structure for Material Lifetime Assessment Application
  Abstract

In the present paper, neural networks (NN) with radial basis function and non-linear auto-regressive exogenous inputs (NARX) structure is introduced and first applied for predicting fatigue lives of composite materials. Fatigue life assessment of multivariable amplitude loading linked to the concept of constant life diagrams (CLD), the well known concept in fatigue of material analysis and design, was investigated. With this respect, fatigue life assessment using the RBFNN-NARX model was realized as one-step ahead prediction with respect to each stress level-S corresponding to stress ratio values-R arranged in such a way that transition took place from a fatigue region to another one in the CLD. As a result, composite materials lifetime assessment can be fashioned for a wide spectrum of loading in an efficient manner. In addition, the produced mean squared error (MSE) values of fatigue life prediction results of the RBFNN-NARX model competed favorably, even better, with those of the MLP-NARX model previously obtained. The simulation results for different multidirectional laminates of polymeric-based composites and loading situations were presented and discussed.

  Info
Periodical
Edited by
Bondan Tiara Sofyan
Pages
143-150
DOI
10.4028/www.scientific.net/AMR.277.143
Citation
M.I.P. Hidayat, W. Berata, "Neural Networks with Radial Basis Function and NARX Structure for Material Lifetime Assessment Application", Advanced Materials Research, Vol. 277, pp. 143-150, 2011
Online since
July 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Chisanga Kaluba, M. Mulife Tawana
Chapter 16: Applied and Computational Mechanics
Abstract:The yield strength-to-tensile stress ratio (fy/fu) is considered to be an important material factor in the design of welded tubular joints....
4702
Authors: Kun Nan Chen, Wei Hsin Gau
Chapter 2: Machine Parts and Mechanisms. Design and Manufacturing
Abstract:Turbine blades used in large-scale, horizontal-axis wind turbines are usually made from composite materials to reduce the weight while...
958
Authors: Pravin P. Hujare, Anil D. Sahasrabudhe
Chapter 7: Vibration and Control
Abstract:The reduction of noise and vibration is a major requirement for performance of any vibratory system. Passive damping technology using...
2031