Revealing the nature of metakaolin-based concrete materials using artificial intelligence techniques

Panagiotis Asteris; Paulo B. Lourénço; Panayiotis C. Roussis; Chrissy-Elpida Adami; Danial Jahed Armaghani; Liborio Cavaleri; Constantin E. Chalioris; Mohsen Hajihassani; Minas E. Lemonis; Ahmed Salih Mohammed; Kypros Pilakoutas

doi:10.1016/j.conbuildmat.2022.126500

Back

Discussion(0)

No comments yet. Be the first to comment.

Related publications

Article2025

Revealing the nature of Ultra-High-Performance concrete using computational intelligence

Ahmadullah Tabani, Akhilendra Sharma, Rahul Biswas, Tryfon Sivenas, Panagiotis Asteris

Article2025

Mapping and revealing the nature of masonry compressive strength using computational intelligence

Panagiotis Asteris, Georgios Α. Drosopoulos, Liborio Cavaleri, Antonio Formisano, Anastasios Drougkas, Gabriele Milani, Amin Mohebkhah, Paulo B. Lourénço

Article2023

Mapping the strength of agro-ecological lightweight concrete containing oil palm by-product using artificial intelligence techniques

Ali Ashrafian, Elahe Panahi, Sajjad Salehi, Μαρία Καρόγλου, Panagiotis Asteris

Article2021

Damage Detection in Lightweight Structures Using Artificial Intelligence Techniques

André Tavares, Emilio Di Lorenzo, Bart Peeters, Giuliano Coppotelli, Nuno Silvestre

Experimental Techniques

Article2025

Revealing the nature of soil liquefaction using machine learning

Sufyan Ghani, Ishwor Thapa, Amrendra Kumar, A. Gomes Correia, Panagiotis Asteris