Lifetime prediction using accelerated test data and neural networks

Authored by

S. Freitag, M. Beer, W. Graf, M. Kaliske

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.

Details

External Organisation(s): Technische Universität Dresden (TUD)
National University of Singapore
Type: Article
Journal: Computers and Structures
Volume: 87
Pages: 1187-1194
No. of pages: 8
ISSN: 0045-7949
Publication date: 10.2009
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Civil and Structural Engineering, Modelling and Simulation, General Materials Science, Mechanical Engineering, Computer Science Applications
Electronic version(s): https://doi.org/10.1016/j.compstruc.2008.12.007 (Access: Closed )