Cargando…

Prediction of Strength and CBR Characteristics of Chemically Stabilized Coal Gangue: ANN and Random Forest Tree Approach

Coal mining waste in the form of coal gangue (CG) was established recently as a potential fill material in earthworks. To ascertain this potential, this study forecasts the strength and California Bearing Ratio (CBR) characteristics of chemically stabilized CG by deploying two widely used artificial...

Descripción completa

Detalles Bibliográficos
Autores principales:	Amin, Muhammad Nasir, Iqbal, Mudassir, Ashfaq, Mohammed, Salami, Babatunde Abiodun, Khan, Kaffayatullah, Faraz, Muhammad Iftikhar, Alabdullah, Anas Abdulalim, Jalal, Fazal E.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9230053/ https://www.ncbi.nlm.nih.gov/pubmed/35744389 http://dx.doi.org/10.3390/ma15124330

Ejemplares similares

Prediction Models for Evaluating Resilient Modulus of Stabilized Aggregate Bases in Wet and Dry Alternating Environments: ANN and GEP Approaches
por: Khan, Kaffayatullah, et al.
Publicado: (2022)

Estimating Flexural Strength of FRP Reinforced Beam Using Artificial Neural Network and Random Forest Prediction Models
por: Khan, Kaffayatullah, et al.
Publicado: (2022)

Investigating the Bond Strength of FRP Laminates with Concrete Using LIGHT GBM and SHAPASH Analysis
por: Amin, Muhammad Nasir, et al.
Publicado: (2022)

Estimating Radiation Shielding of Fired Clay Bricks Using ANN and GEP Approaches
por: Amin, Muhammad Nasir, et al.
Publicado: (2022)

Computational AI Models for Investigating the Radiation Shielding Potential of High-Density Concrete
por: Amin, Muhammad Nasir, et al.
Publicado: (2022)

Investigating the Bond Strength of FRP Rebars in Concrete under High Temperature Using Gene-Expression Programming Model
por: Amin, Muhammad Nasir, et al.
Publicado: (2022)

Prediction of Axial Capacity of Concrete Filled Steel Tubes Using Gene Expression Programming
por: Khan, Kaffayatullah, et al.
Publicado: (2022)

Compressive Strength Estimation of Fly Ash/Slag Based Green Concrete by Deploying Artificial Intelligence Models
por: Khan, Kaffayatullah, 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)

Prediction of Rapid Chloride Penetration Resistance to Assess the Influence of Affecting Variables on Metakaolin-Based Concrete Using Gene Expression Programming
por: Amin, Muhammad Nasir, et al.
Publicado: (2022)

Multi Expression Programming Model for Strength Prediction of Fly-Ash-Treated Alkali-Contaminated Soils
por: Khan, Kaffayatullah, et al.
Publicado: (2022)

A Hybrid SVR-Based Prediction Model for the Interfacial Bond Strength of Externally Bonded FRP Laminates on Grooves with Concrete Prisms
por: Khan, Kaffayatullah, et al.
Publicado: (2022)

Forecasting Compressive Strength of RHA Based Concrete Using Multi-Expression Programming
por: Amin, Muhammad Nasir, et al.
Publicado: (2022)

Compressive Strength Estimation of Steel-Fiber-Reinforced Concrete and Raw Material Interactions Using Advanced Algorithms
por: Khan, Kaffayatullah, et al.
Publicado: (2022)

Use of Artificial Intelligence for Predicting Parameters of Sustainable Concrete and Raw Ingredient Effects and Interactions
por: Amin, Muhammad Nasir, et al.
Publicado: (2022)

Predicting the Rheological Properties of Super-Plasticized Concrete Using Modeling Techniques
por: Amin, Muhammad Nasir, et al.
Publicado: (2022)

Prediction Models for Estimating Compressive Strength of Concrete Made of Manufactured Sand Using Gene Expression Programming Model
por: Khan, Kaffayatullah, et al.
Publicado: (2022)

Predicting the Compressive Strength of Concrete Containing Fly Ash and Rice Husk Ash Using ANN and GEP Models
por: Al-Hashem, Mohammed Najeeb, et al.
Publicado: (2022)

Predicting Bond Strength between FRP Rebars and Concrete by Deploying Gene Expression Programming Model
por: Amin, Muhammad Nasir, et al.
Publicado: (2022)

Exploring the Use of Waste Marble Powder in Concrete and Predicting Its Strength with Different Advanced Algorithms
por: Khan, Kaffayatullah, et al.
Publicado: (2022)

Predictive Modeling of Compression Strength of Waste PET/SCM Blended Cementitious Grout Using Gene Expression Programming
por: Khan, Kaffayatullah, et al.
Publicado: (2022)

Diffusion law of coal gangue slurry and the application of fluidized filling technology of gangue in caving area
por: Zhang, Ji-qiang, et al.
Publicado: (2023)

Improved YOLOv7 Network Model for Gangue Selection Robot for Gangue and Foreign Matter Detection in Coal
por: Yang, Dengjie, et al.
Publicado: (2023)

Study on the Reactivity Activation of Coal Gangue for Efficient Utilization
por: Hu, Yanshao, et al.
Publicado: (2023)

Evaluating the effectiveness of waste glass powder for the compressive strength improvement of cement mortar using experimental and machine learning methods
por: Khan, Kaffayatullah, et al.
Publicado: (2023)

Coal and Gangue Separating Robot System Based on Computer Vision
por: Sun, Zhiyuan, et al.
Publicado: (2021)

Coal gangue recognition based on spectral imaging combined with XGBoost
por: Zhou, Minghao, et al.
Publicado: (2023)

Research on Recognition of Coal and Gangue Based on Laser Speckle Images
por: Li, Hequn, et al.
Publicado: (2023)

Technology and engineering test of filling goaf with coal gangue slurry
por: Xie, Shengrong, et al.
Publicado: (2023)

Radiation characteristics of natural gamma-ray from coal and gangue for recognition in top coal caving
por: Zhang, Ningbo, et al.
Publicado: (2018)

Mechanical Properties of Reactive Powder Concrete with Coal Gangue as Sand Replacement
por: Luo, Wen, et al.
Publicado: (2022)

Field study on the improvement of coal gangue filling using dynamic compaction
por: Zhang, Qingfeng, et al.
Publicado: (2021)

Study on recognition of coal and gangue based on multimode feature and image fusion
por: Zhao, Lijuan, et al.
Publicado: (2023)

Research on the Identification Mechanism of Coal Gangue Based on the Differences of Mineral Components
por: Yang, Chenguang, et al.
Publicado: (2022)

Evaluation of Mechanical and Microstructural Properties and Global Warming Potential of Green Concrete with Wheat Straw Ash and Silica Fume
por: Khan, Kaffayatullah, et al.
Publicado: (2022)

Preparation and Reaction Mechanism Characterization of Alkali-activated Coal Gangue–Slag Materials
por: Ma, Hongqiang, et al.
Publicado: (2019)

Study of Mechanical Properties and Durability of Alkali-Activated Coal Gangue-Slag Concrete
por: Zhu, Hongguang, et al.
Publicado: (2020)

Associations of Gangue Minerals in Coal Flotation Tailing and Their Transportation Behaviors in the Flotation Process
por: Tian, Quanzhi, et al.
Publicado: (2022)

Using Chinese Coal Gangue as an Ecological Aggregate and Its Modification: A Review
por: Hao, Ying, et al.
Publicado: (2022)

Activation Mechanism of Coal Gangue and Its Impact on the Properties of Geopolymers: A Review
por: Han, Ruicong, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_ubd9fveajmo4hanpuf55ngpmku