Predictive modeling for compressive strength of 3D printed fiber-reinforced concrete using machine learning algorithms-Reference-Cited by-同舟云学术

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Predictive modeling for compressive strength of 3D printed fiber-reinforced concrete using machine learning algorithms

Published:2024-07 Issue: Volume:20 Page:e02728
ISSN:2214-5095
Container-title:Case Studies in Construction Materials
language:en
Short-container-title:Case Studies in Construction Materials

Author:

Alyami Mana,Khan Majid^ORCID,Fawad Muhammad,Nawaz R.,Hammad Ahmed W.A.,Najeh Taoufik,Gamil Yaser

Funder

Najran University

Publisher

Elsevier BV

Subject

Materials Science (miscellaneous)

Reference112 articles.

1. Smart and Multifunctional Concrete Toward Sustainable Infrastructures;Han,2017

2. 3D Printing of Buildings: construction of the Sustainable Houses of the Future by BIM;Sakin;Energy Procedia,2017

3. Digital Concrete: a review;Wangler;Cem. Concr. Res.,2019

4. A critical review of the use of 3-D printing in the construction industry;Wu;Autom. Constr.,2016

5. A review of the current progress and application of 3D printed concrete;Zhang;Compos. Part A Appl. Sci. Manuf.,2019

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