Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Application of neural networks to defect detection in cantilever beams with linearized damage behavior
This paper shows the feasibility of using a very simple feed-forward backpropagation neural network for fast and accurate estimation of the location and size of a crack in a cantilever beam. The presented network is trained and tested using data generated by a linear, closed-form, one-dimensional theoretical model of the cracked beam. It is shown that the neural network is a very attractive alternative to presently used methods.
Application of neural networks to defect detection in cantilever beams with linearized damage behavior
This paper shows the feasibility of using a very simple feed-forward backpropagation neural network for fast and accurate estimation of the location and size of a crack in a cantilever beam. The presented network is trained and tested using data generated by a linear, closed-form, one-dimensional theoretical model of the cracked beam. It is shown that the neural network is a very attractive alternative to presently used methods.
Application of neural networks to defect detection in cantilever beams with linearized damage behavior
Kawiecki, G. (Autor:in)
Journal of Intelligent Material Systems and Structures ; 10 ; 797-801
2000
5 Seiten, 13 Quellen
Aufsatz (Zeitschrift)
Englisch
| British Library Online Contents | 1999
Automated model updating of multiple cracked cantilever beams for damage detection
| British Library Online Contents | 2017
Automated model updating of multiple cracked cantilever beams for damage detection
| British Library Online Contents | 2017
Automated model updating of multiple cracked cantilever beams for damage detection
| British Library Online Contents | 2017
Automated model updating of multiple cracked cantilever beams for damage detection
| British Library Online Contents | 2017