Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.compstruc.2008.12.007
Title: Lifetime prediction using accelerated test data and neural networks
Authors: Freitag, S.
Beer, M. 
Graf, W.
Kaliske, M.
Keywords: Accelerated life testing
Acceleration function
Lifetime prediction
Model-free prediction
Neural network
Textile reinforcement
Issue Date: Oct-2009
Citation: Freitag, S., Beer, M., Graf, W., Kaliske, M. (2009-10). Lifetime prediction using accelerated test data and neural networks. Computers and Structures 87 (19-20) : 1187-1194. ScholarBank@NUS Repository. https://doi.org/10.1016/j.compstruc.2008.12.007
Abstract: In this paper, a concept for the lifetime prediction of novel materials in civil engineering is presented. The approach does not require experiments over the structural lifetime and solves the problems of limited data and limited mechanical and physical insight in initial stages of investigation. Specifically, a combination of accelerated life testing with a neural network solution for function approximation over the time scale is proposed. The capabilities of the concept are demonstrated by a numerical example for verification purposes and a practical application for predicting the lifetime of textile reinforced concrete specimens at service load. © 2008 Civil-Comp Ltd and Elsevier Ltd.
Source Title: Computers and Structures
URI: http://scholarbank.nus.edu.sg/handle/10635/65761
ISSN: 00457949
DOI: 10.1016/j.compstruc.2008.12.007
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

19
checked on Oct 16, 2018

WEB OF SCIENCETM
Citations

18
checked on Oct 8, 2018

Page view(s)

28
checked on Sep 29, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.