Prediction of compressive strength of recycled aggregate concrete using artificial neural networks

By Z. Duan, S. Kou, Chi-Sun Poon. 2013

480 citations recorded by the source corpus.

Subfields: Building and Construction, Civil and Structural Engineering

View Paper: https://www.semanticscholar.org/paper/d69bb952e1dc10e042d3a1744959d9d3eaf38977

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. Hadi Salehi
2. Rigoberto Burgueño

In Civil and Structural Engineering

1. Hadi Salehi
2. Rigoberto Burgueño

Citations in the corpus

• Emerging artificial intelligence methods in structural engineering (2018, background): “[226,227] Prediction of concrete strength Concrete with construction and demolishing waste ANN”