Work

Predicting the compressive strength of CFRP-confined concrete using deep learning

Year: 2024

Type: article

Source: Engineering Structures

DOI: 10.1016/j.engstruct.2024.118801

Authors: Ali Benzaamia, Mohamed Ghrici, Redouane Rebouh, Kypros Pilakoutas, Panagiotis G. Asteris

Institutions: Hassiba Benbouali University of Chlef, University of Sheffield

Language: English

Topic: Structural Behavior of Reinforced Concrete

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4401899142

FWCI: 8.442

Cites: 93

Cited by: 53

Related to: 10