Lifetime prediction using accelerated test data and neural networks

verfasst von

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.

Externe Organisation(en)

Technische Universität Dresden
National University of Singapore

Typ

Artikel

Journal

Computers and Structures

Band

87

Seiten

1187-1194

Anzahl der Seiten

8

ISSN

0045-7949

Publikationsdatum

10.2009

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Tief- und Ingenieurbau, Modellierung und Simulation, Werkstoffwissenschaften (insg.), Maschinenbau, Angewandte Informatik

Elektronische Version(en)

https://doi.org/10.1016/j.compstruc.2008.12.007 (Zugang: Geschlossen)