Work

Correction: Machine-Learning Methods for Estimating Performance of Structural Concrete Members Reinforced with Fiber-Reinforced Polymers

Year: 2024

Type: erratum

Source: Archives of Computational Methods in Engineering

DOI: 10.1007/s11831-024-10161-z

Authors: Farzin Kazemi, Neda Asgarkhani, Torkan Shafighfard, Robert Jankowski, Doo-Yeol Yoo

Institutions: Gdańsk University of Technology, Institute of Fluid Flow-Machinery, Polish Academy of Sciences, Yonsei University

Language: English

Topic: Structural Behavior of Reinforced Concrete

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $4,390

Funders: National Research Foundation, Yonsei University, National Research Foundation of Korea, Ministry of Science and ICT, South Korea

Awards: G4677555844, G5467874664

OpenAlex ID: W4400414044

Cites:

Cited by: 15

Related to: 10