RSM-Based Modeling and Optimization of Cementitious Composites with Polyurethane Powder Waste and Foundry Exhaust Sand-Reference-Cited by-同舟云学术

RSM-Based Modeling and Optimization of Cementitious Composites with Polyurethane Powder Waste and Foundry Exhaust Sand

Published:2023-03 Issue:3 Volume:35 Page:
ISSN:0899-1561
Container-title:Journal of Materials in Civil Engineering
language:en
Short-container-title:J. Mater. Civ. Eng.

Author:

da Silva Lucas Ramon Roque¹^ORCID,Francisco Matheus Brendon²,Martins Roberta Moraes³,Gonçalves Paulo Cesar⁴^ORCID,dos Santos Valquíria Claret⁵,Gomes Guilherme Ferreira⁶,Melo Mirian de Lourdes Noronha Motta⁶

Affiliation:

1. Research Fellow, Institute of Mechanical Engineering (IEM), Universidade Federal de Itajubá (UNIFEI), Minas Gerais, Brazil (corresponding author). ORCID: .

2. Post-Graduate Student, Institute of Mechanical Engineering (IEM), Universidade Federal de Itajubá (UNIFEI), Minas Gerais, Brazil.

3. Post-Graduate Student, Institute of Physics and Chemistry (IFQ), Universidade Federal de Itajubá (UNIFEI), Minas Gerais, Brazil.

4. Professor, Institute of Natural Resources (INR), Universidade Federal de Itajubá (UNIFEI), Minas Gerais, Brazil. ORCID: .

5. Professor, Institute of Natural Resources (INR), Universidade Federal de Itajubá (UNIFEI), Minas Gerais, Brazil.

6. Professor, Institute of Mechanical Engineering (IEM), Universidade Federal de Itajubá (UNIFEI), Minas Gerais, Brazil.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanics of Materials,General Materials Science,Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29MT.1943-5533.0004627

Reference49 articles.

1. Predicting the ingredients of self compacting concrete using artificial neural network

2. Compressive Strength and Shrinkage Behavior of Concrete Produced from Portland Limestone Cement with Water Absorption Polymer Balls

3. Choosing the best eestimated regression equation for data subject to geometric distribution (Student data as a case study)

4. Evaluation of conventional and equivalent mortar volume mix design methods for recycled aggregate concrete

5. Open and eco-innovations in traditional industries

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