Cargando…

Machine Learning Prediction Models to Evaluate the Strength of Recycled Aggregate Concrete

Compressive and flexural strength are the crucial properties of a material. The strength of recycled aggregate concrete (RAC) is comparatively lower than that of natural aggregate concrete. Several factors, including the recycled aggregate replacement ratio, parent concrete strength, water–cement ra...

Descripción completa

Detalles Bibliográficos
Autores principales:	Yuan, Xiongzhou, Tian, Yuze, Ahmad, Waqas, Ahmad, Ayaz, Usanova, Kseniia Iurevna, Mohamed, Abdeliazim Mustafa, Khallaf, Rana
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9025364/ https://www.ncbi.nlm.nih.gov/pubmed/35454516 http://dx.doi.org/10.3390/ma15082823

Ejemplares similares

Fly Ash Application as Supplementary Cementitious Material: A Review
por: Li, Guanlei, et al.
Publicado: (2022)

Comparison of Prediction Models Based on Machine Learning for the Compressive Strength Estimation of Recycled Aggregate Concrete
por: Khan, Kaffayatullah, et al.
Publicado: (2022)

Evaluation of Artificial Intelligence Methods to Estimate the Compressive Strength of Geopolymers
por: Zou, Yong, et al.
Publicado: (2022)

A Step towards Concrete with Partial Substitution of Waste Glass (WG) in Concrete: A Review
por: Ahmad, Jawad, et al.
Publicado: (2022)

Split Tensile Strength Prediction of Recycled Aggregate-Based Sustainable Concrete Using Artificial Intelligence Methods
por: Amin, Muhammad Nasir, et al.
Publicado: (2022)

Concrete by Preplaced Aggregate Method Using Silica Fume and Polypropylene Fibres
por: Khanzada, Farooq Azam, et al.
Publicado: (2022)

Use of Artificial Intelligence Methods for Predicting the Strength of Recycled Aggregate Concrete and the Influence of Raw Ingredients
por: Pan, Xinchen, et al.
Publicado: (2022)

Shear Strength of Fiber Reinforced Recycled Aggregate Concrete
por: Ghoneim, Mohamed, et al.
Publicado: (2020)

Prediction of Geopolymer Concrete Compressive Strength Using Novel Machine Learning Algorithms
por: Ahmad, Ayaz, et al.
Publicado: (2021)

Physics-assisted machine learning methods for predicting the splitting tensile strength of recycled aggregate concrete
por: Liu, Jianguo, et al.
Publicado: (2023)

Computation of High-Performance Concrete Compressive Strength Using Standalone and Ensembled Machine Learning Techniques
por: Xu, Yue, et al.
Publicado: (2021)

Application of Advanced Machine Learning Approaches to Predict the Compressive Strength of Concrete Containing Supplementary Cementitious Materials
por: Ahmad, Waqas, et al.
Publicado: (2021)

Application of Ensemble Machine Learning Methods to Estimate the Compressive Strength of Fiber-Reinforced Nano-Silica Modified Concrete
por: Anjum, Madiha, et al.
Publicado: (2022)

A Systematic Review of the Research Development on the Application of Machine Learning for Concrete
por: Khan, Kaffayatullah, et al.
Publicado: (2022)

Concrete with Partial Substitution of Waste Glass and Recycled Concrete Aggregate
por: Ahmad, Jawad, et al.
Publicado: (2022)

A Comparison of Machine Learning Tools That Model the Splitting Tensile Strength of Self-Compacting Recycled Aggregate Concrete
por: de-Prado-Gil, Jesús, et al.
Publicado: (2022)

The Fire Resistance Performance of Recycled Aggregate Concrete Columns with Different Concrete Compressive Strengths
por: Dong, Hongying, et al.
Publicado: (2014)

Testing and Prediction of the Strength Development of Recycled-Aggregate Concrete with Large Particle Natural Aggregate
por: Li, Changyong, et al.
Publicado: (2019)

Mixture Optimization of Recycled Aggregate Concrete Using Hybrid Machine Learning Model
por: Nunez, Itzel, et al.
Publicado: (2020)

Machine Learning-Based Evaluation of Shear Capacity of Recycled Aggregate Concrete Beams
por: Yu, Yong, et al.
Publicado: (2020)

Advanced Machine Learning Modeling Approach for Prediction of Compressive Strength of FRP Confined Concrete Using Multiphysics Genetic Expression Programming
por: Ilyas, Israr, et al.
Publicado: (2022)

Influence of Microfibrillated Cellulose Additive on Strength, Elastic Modulus, Heat Release, and Shrinkage of Mortar and Concrete
por: Barabanshchikov, Yurii, et al.
Publicado: (2021)

Residual Compressive Strength of Recycled Aggregate Concretes after High Temperature Exposure
por: Varona, Francisco B., et al.
Publicado: (2020)

Prediction Model for Compressive Strength of Porous Concrete with Low-Grade Recycled Aggregate
por: Liu, Junshi, et al.
Publicado: (2021)

Prediction of the Compressive Strength of Recycled Aggregate Concrete Based on Artificial Neural Network
por: Bu, Liangtao, et al.
Publicado: (2021)

Investigation of Water Absorption Behavior of Recycled Aggregates and its Effect on Concrete Strength
por: Ding, Yangfei, et al.
Publicado: (2023)

Influence of Parent Concrete Properties on Compressive Strength and Chloride Diffusion Coefficient of Concrete with Strengthened Recycled Aggregates
por: Ying, Jingwei, et al.
Publicado: (2020)

Properties of Concrete with Recycled Concrete Aggregate Containing Metallurgical Sludge Waste
por: Pizoń, Jan, et al.
Publicado: (2020)

Recycled Concrete Aggregate for Medium-Quality Structural Concrete
por: Tran, Dong Viet Phuong, et al.
Publicado: (2021)

Perspective on the Application of Machine Learning Algorithms for Flow Parameter Estimation in Recycled Concrete Aggregate
por: Dzięcioł, Justyna, et al.
Publicado: (2023)

Effect of Silicon Carbide and Tungsten Carbide on Concrete Composite
por: Idrees, Maria, et al.
Publicado: (2022)

Cyclically Loaded Copper Slag Admixed Reinforced Concrete Beams with Cement Partially Replaced with Fly Ash
por: Raju, Sumathy, et al.
Publicado: (2022)

Shear Strength Characteristics of Recycled Concrete Aggregate and Recycled Tire Waste Mixtures from Monotonic Triaxial Tests
por: Gabryś, Katarzyna, et al.
Publicado: (2021)

Comparative Study of Supervised Machine Learning Algorithms for Predicting the Compressive Strength of Concrete at High Temperature
por: Ahmad, Ayaz, et al.
Publicado: (2021)

Mechanical Property Tests and Strength Formulas of Basalt Fiber Reinforced Recycled Aggregate Concrete
por: Fang, Sheng-En, et al.
Publicado: (2018)

Probabilistic Conversion of the Compressive Strength of Cubes to Cylinders of Natural and Recycled Aggregate Concrete Specimens
por: Pacheco, João Nuno, et al.
Publicado: (2019)

Internal Curing Effect and Compressive Strength Calculation of Recycled Clay Brick Aggregate Concrete
por: Chen, Feng, et al.
Publicado: (2019)

Study on the Strength Performance of Recycled Aggregate Concrete with Different Ages under Direct Shearing
por: Liang, Xin, et al.
Publicado: (2021)

Statistical and Reliability Study on Shear Strength of Recycled Coarse Aggregate Reinforced Concrete Beams
por: Ju, Hyunjin, et al.
Publicado: (2021)

Influence of Impregnation of Recycled Concrete Aggregate on the Selected Properties of Concrete
por: Jaskulski, Roman, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_bcc3rmmo67u9qnhf3soc8rqkh8