Investigations on the compressive strength of silica fume concrete using statistical methods

By S. Bhanja, B. Sengupta. 2002

164 citations recorded by the source corpus.

Subfields: Building and Construction, Civil and Structural Engineering

View Paper: https://www.semanticscholar.org/paper/e5bc64353bc32310947ae8795296b15f8c59cb48

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. Chih-Fong Tsai
2. Yu-Hsin Lu
3. A. Pham
4. Jui-Sheng Chou

In Civil and Structural Engineering

1. A. Pham
2. Yu-Hsin Lu
3. Chih-Fong Tsai
4. Jui-Sheng Chou
5. Amir Hossein Alavi
6. M. Z. Naser
7. Hadi Salehi
8. Rigoberto Burgueño

Citations in the corpus

• Machine learning in concrete strength simulations: Multi-nation data analytics (2014, methodology): “In the literature, LR is commonly used for modeling the mechanical properties of construction materials [6,7,20,23,48].”