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.

External Organisation(s)

Technische Universität Dresden
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, Materials Science(all), Mechanical Engineering, Computer Science Applications

Electronic version(s)

https://doi.org/10.1016/j.compstruc.2008.12.007 (Access: Closed)