A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Determination of concrete strength and water to cement ratio by using pattern recognition techniques on acousto-ultrasonic signals
A novel Non-Destructive Technique (NDT) for characterization of mortar and concrete is presented. It is based on an Acousto-Ultrasonic (AU) set-up while the analysis of the acquired waveforms after wave propagation through specimen thickness is performed by advanced pattern recognition techniques and a cross-correlation scheme in order to determine water to cement (w/c) ratio. Elastic wave propagation characteristics, measured by an AU setup in concrete specimens, are strongly correlated with the compressive strength and influenced by age and the water content. This was exploited by formulating a cross-correlation scheme in time domain and used as a classifier in determining w/c ratio of concrete. The so-called Rpn ratio proved a valid criterion for the classification of specimens in the right w/c class. Although the success so far is high compared with other techniques, it is believed that higher volume of experimental data, including more initial classes of w/c and more specimens for each class, coupled with Statistical Pattern Recognition techniques will result in higher percentage of accuracy.
Determination of concrete strength and water to cement ratio by using pattern recognition techniques on acousto-ultrasonic signals
A novel Non-Destructive Technique (NDT) for characterization of mortar and concrete is presented. It is based on an Acousto-Ultrasonic (AU) set-up while the analysis of the acquired waveforms after wave propagation through specimen thickness is performed by advanced pattern recognition techniques and a cross-correlation scheme in order to determine water to cement (w/c) ratio. Elastic wave propagation characteristics, measured by an AU setup in concrete specimens, are strongly correlated with the compressive strength and influenced by age and the water content. This was exploited by formulating a cross-correlation scheme in time domain and used as a classifier in determining w/c ratio of concrete. The so-called Rpn ratio proved a valid criterion for the classification of specimens in the right w/c class. Although the success so far is high compared with other techniques, it is believed that higher volume of experimental data, including more initial classes of w/c and more specimens for each class, coupled with Statistical Pattern Recognition techniques will result in higher percentage of accuracy.
Determination of concrete strength and water to cement ratio by using pattern recognition techniques on acousto-ultrasonic signals
Bestimmung der Betonfestigkeit und des Wasser-Zement-Verhältnisses unter Anwendung von Mustererkennungsverfahren auf Akusto-Ultraschallsignale
Aggelis, D.G. (author) / Philippidis, T.P. (author) / Polyzos, D. (author) / Anastassopoulos, A. (author) / Tsimogiannis, A. (author)
2002
9 Seiten, 6 Bilder, 3 Tabellen, 14 Quellen
(Nicht paginiert).
Conference paper
Storage medium
English
An acousto-ultrasonic approach for the determination of water-to-cement ratio in concrete
| Online Contents | 2003
An acousto-ultrasonic approach for the determination of water-to-cement ratio in concrete
| British Library Online Contents | 2003
The effect of water-cement ratio on acousto-ultrasonic characteristics in mortar
| British Library Online Contents | 2017
| British Library Online Contents | 2017