Article ID Journal Published Year Pages File Type
4920204 Engineering Structures 2017 10 Pages PDF
Abstract
The results evidence that the proposed model is adapt for the design of FRP-confined concrete and guarantees an improved accuracy with respect the available competitors.
Keywords
Related Topics
Physical Sciences and Engineering Earth and Planetary Sciences Geotechnical Engineering and Engineering Geology
Preview
An Artificial Neural Networks model for the prediction of the compressive strength of FRP-confined concrete circular columns
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