Prediction of concrete strength using ultrasonic pulse velocity and artificial neural networks.
By G. Trtnik, F. Kavčič, Goran Turk. Ultrasonics, 2009
484 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Mechanics of Materials, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/2d48ac60bc4179555c8ffc8975f7a5c8a31baded
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
In Mechanics of Materials
In Ocean Engineering
- K. Kovler
- Nicolas Roussel
- A. Perrot
- A. Pierre
- Mette Rica Geiker
- Peter Szabó
- L. Thrane
- Frédéric Dufour
Citations in the corpus
- Optimizing the Prediction Accuracy of Concrete Compressive Strength Based on a Comparison of Data-Mining Techniques (2011, methodology): “(2009) used an ultrasonic pulse velocity technique, which is among the most common nondestructive techniques for assessing concrete properties (Trtnik et al. 2009).”
- Properties of fresh and hardened concrete (2011, background): “The paper [95] deals with the analysis of such factors on the velocity–strength relationship.”