The prediction and evaluation of recycled polypropylene fiber and aggregate incorporated foam concrete using Artificial Neural Networks-Reference-Cited by-同舟云学术

The prediction and evaluation of recycled polypropylene fiber and aggregate incorporated foam concrete using Artificial Neural Networks

Published:2024-01 Issue: Volume:411 Page:134646
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Yildizel Sadik Alper,Uzun Mehmet^ORCID,Arslan Mehmet Akif,Ozbakkaloglu Togay

Publisher

Elsevier BV

Subject

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

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3. Investigation of the effect of silica fume and synthetic foam additive on cell structure in ultra-low density foam concrete;Şeker;Case Stud. Constr. Mater.,2022

4. Study on the effectiveness of fibre reinforcement on the engineering performance of foamed concrete;Cong;Case Stud. Constr. Mater.,2022

5. Reinforcement effects of multi-scale hybrid fiber on flexural and fracture behaviors of ultra-low-weight foamed cement-based composites;Yang;Cem. Concr. Compos,2020

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1. Ni doped carbon-based composites derived from waste cigarette polypropylene filter rod with electromagnetic wave absorption performance;Materials Research Express;2024-09-01

2. Sensitivity Analysis of Influencing Factors and Two-Stage Prediction of Frost Resistance of Active-Admixture Recycled Concrete Based on Grey Theory–BPNN;Materials;2024-04-14

3. Using meta-heuristic optimization in ANFIS models to estimate compressive strength for recycled aggregate concrete;Multiscale and Multidisciplinary Modeling, Experiments and Design;2024-04-02