Predictive modeling for compressive strength of 3D printed fiber-reinforced concrete using machine learning algorithms
Work
Year: 2023
Type: article
Abstract: Three-dimensional (3D) printing in the construction industry is growing rapidly due to its inherent advantages, including intricate geometries, reduced waste, accelerated construction, cost-effectiven... more
Institutions Najran University, COMSATS University Islamabad, Budapest University of Technology and Economics, Silesian University of Technology, Gulf University for Science & Technology +2 more
Cites: 103
Cited by: 51
Related to: 10
FWCI: 12.12
Citation percentile (by year/subfield): 99.99
Subfield: Building and Construction
Field: Engineering
Domain: Physical Sciences
Sustainable Development Goal Industry, innovation and infrastructure
Open Access status: gold
APC paid (est): $600
Funder Najran University
Grant ID NU/NRP/SERC/12/6