Probabilistic Modelling of Compressive Strength of Concrete Using Response Surface Methodology and Neural Networks

Title
Probabilistic Modelling of Compressive Strength of Concrete Using Response Surface Methodology and Neural Networks
Authors
Keywords
Concrete, Response surface methodology, Artificial neural networks, Cement content, Compressive strength, Air content, Local materials, Slump, Water content
Journal
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
Volume 39, Issue 6, Pages 4451-4460
Publisher
Springer Nature
Online
2014-04-18
DOI
10.1007/s13369-014-1139-y

Ask authors/readers for more resources

Reprint

Contact the author

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started