Work

Interpretable machine learning for predicting the strength of 3D printed fiber-reinforced concrete (3DP-FRC)

Year: 2023

Type: article

Source: Journal of Building Engineering

DOI: 10.1016/j.jobe.2023.106648

Authors: Md Nasir Uddin, Junhong Ye, Boyu Deng, Ling-zhi Li, Kequan Yu

Institutions: Tongji University, Hong Kong Polytechnic University

Language: English

Topic: Innovations in Concrete and Construction Materials

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Chongqing, Fundamental Research Funds for the Central Universities

Awards: G5050175223, G5092000000

OpenAlex ID: W4366992530

FWCI: 10.66

Cites: 117

Cited by: 95

Related to: 10