Details
| Original language | English |
|---|---|
| Pages (from-to) | 1187-1194 |
| Number of pages | 8 |
| Journal | Computers and Structures |
| Volume | 87 |
| Issue number | 19-20 |
| Early online date | 12 Jan 2009 |
| Publication status | Published - Oct 2009 |
| Externally published | Yes |
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.
Keywords
- Accelerated life testing, Acceleration function, Lifetime prediction, Model-free prediction, Neural network, Textile reinforcement
ASJC Scopus subject areas
- Engineering(all)
- Civil and Structural Engineering
- Mathematics(all)
- Modelling and Simulation
- Materials Science(all)
- General Materials Science
- Engineering(all)
- Mechanical Engineering
- Computer Science(all)
- Computer Science Applications
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In: Computers and Structures, Vol. 87, No. 19-20, 10.2009, p. 1187-1194.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Lifetime prediction using accelerated test data and neural networks
AU - Freitag, S.
AU - Beer, M.
AU - Graf, W.
AU - Kaliske, M.
N1 - Funding information: The authors gratefully acknowledge the support of the German Research Foundation (DFG) within the framework of the Collaborative Research Center 528 entitled “Textile Reinforcements for Structural Strengthening and Repair”.
PY - 2009/10
Y1 - 2009/10
N2 - 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.
AB - 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.
KW - Accelerated life testing
KW - Acceleration function
KW - Lifetime prediction
KW - Model-free prediction
KW - Neural network
KW - Textile reinforcement
UR - http://www.scopus.com/inward/record.url?scp=69249234659&partnerID=8YFLogxK
U2 - 10.1016/j.compstruc.2008.12.007
DO - 10.1016/j.compstruc.2008.12.007
M3 - Article
AN - SCOPUS:69249234659
VL - 87
SP - 1187
EP - 1194
JO - Computers and Structures
JF - Computers and Structures
SN - 0045-7949
IS - 19-20
ER -