Multiple AI predictive models for compressive strength of recycled aggregate concrete-Reference-Cited by-同舟云学术

Multiple AI predictive models for compressive strength of recycled aggregate concrete

Published:2024-08-07 Issue:1 Volume:11 Page:
ISSN:2331-1916
Container-title:Cogent Engineering
language:en
Short-container-title:Cogent Engineering

Author:

Ebid Ahmed M.¹^ORCID,Ulloa Nestor²^ORCID,Onyelowe Kennedy C.³^ORCID,Zuñiga Rodriguez Maria Gabriela⁴^ORCID,Andrade Valle Alexis Iván⁴⁵^ORCID,Zárate Villacres Andrea Natali⁴^ORCID

Affiliation:

1. Department of Civil Engineering, Faculty of Engineering, Future University in Egypt, New Cairo, Egypt

2. Facultad de Mecanica, Escuela Superior Politecnica de Chimborazo (ESPOCH), Riobamba, Ecuador

3. Department of Civil Engineering, Kampala International University, Kampala, Uganda

4. Facultad de Ingenieria, Ingenieria Civil, Universidad Nacional de Chimborazo (UNACH), Riobamba, Ecuador

5. Architecture, Heritage and the City, Universitat Politecnica de Valencia, Valencia, Valencia, Espana

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/23311916.2024.2385621

Reference99 articles.

1. Adnan, S. H., Rahman, I. A., & Saman, H. M. (2011 Recycled aggregate as coarse aggregate replacement in concrete mixes [Paper presentation]. ASEAN Australian Engineering Congress 2011.

2. Influence of recycled aggregates on mechanical properties of HS/HPC

3. Assessing recycling potential of carbon fiber reinforced plastic waste in production of eco-efficient cement-based materials

4. Predictive models for evaluation of compressive and split tensile strengths of recycled aggregate concrete containing lathe waste steel fiber;Alabi S. A.;Jordan Journal of Civil Engineering,,2020

5. An Integrated Approach to Using Sheep Wool as a Fibrous Material for Enhancing Strength and Transport Properties of Concrete Composites