Artificial intelligence in predicting mechanical properties of composite materials
The determination of mechanical properties plays a crucial role in utilizing composite
materials across multiple engineering disciplines. Recently, there has been substantial …
materials across multiple engineering disciplines. Recently, there has been substantial …
Properties prediction of composites based on machine learning models: A focus on statistical index approaches
Composites have a wide range of applications across various industries due to their high
strength-to-weight ratio, corrosion resistance, durability, versatility, and lightweight …
strength-to-weight ratio, corrosion resistance, durability, versatility, and lightweight …
Interpretable predictive modelling of basalt fiber reinforced concrete splitting tensile strength using ensemble machine learning methods and SHAP approach
Basalt fibers are a type of reinforcing fiber that can be added to concrete to improve its
strength, durability, resistance to cracking, and overall performance. The addition of basalt …
strength, durability, resistance to cracking, and overall performance. The addition of basalt …
Mechanical properties, flexural behaviour, and ductility characteristics of fibre-reinforced geopolymer mortar
AKF Gaddafi, UJ Alengaram, NM Bunnori… - … and Building Materials, 2023 - Elsevier
This study aims to explore the potential of ambient-cured geopolymer as a substitute for
ordinary Portland cement (OPC)-based mortar. However, due to their brittle nature …
ordinary Portland cement (OPC)-based mortar. However, due to their brittle nature …
[HTML][HTML] Influence of 3D-printed reinforcement on the mechanical and fracture characteristics of ultra high performance concrete
The current research makes an attempt to examine the possibility of using the 3D printing
technique for the reinforcement of Ultra High-Performance Concrete (UHPC). In this regard …
technique for the reinforcement of Ultra High-Performance Concrete (UHPC). In this regard …
Investigating the applicability of deep learning and machine learning models in predicting the structural performance of V-shaped RC folded plates
Reinforced concrete folded plates (RC-FPs), which are a special class of shell structures,
have recently become very popular in modern architectural and engineering applications …
have recently become very popular in modern architectural and engineering applications …
Prediction of the compressive strength of vibrocentrifuged concrete using machine learning methods
AN Beskopylny, SA Stel'makh, EM Shcherban'… - Buildings, 2024 - mdpi.com
The determination of mechanical properties for different building materials is a highly
relevant and practical field of application for machine learning (ML) techniques within the …
relevant and practical field of application for machine learning (ML) techniques within the …
[HTML][HTML] Analysis of Models to Predict Mechanical Properties of High-Performance and Ultra-High-Performance Concrete Using Machine Learning
M Hematibahar, M Kharun, AN Beskopylny… - Journal of Composites …, 2024 - mdpi.com
High-Performance Concrete (HPC) and Ultra-High-Performance Concrete (UHPC) have
many applications in civil engineering industries. These two types of concrete have as many …
many applications in civil engineering industries. These two types of concrete have as many …
Prediction and deployment of compressive strength of high-performance concrete using ensemble learning techniques
Concrete is widely utilized in construction; however, accurately predicting its compressive
strength is difficult due to the complex relationships within its mixture. Although previous …
strength is difficult due to the complex relationships within its mixture. Although previous …
[HTML][HTML] Innovative hybrid machine learning models for estimating the compressive strength of copper mine tailings concrete
The growing demand for copper and related materials in various industries is driving
increased copper mining globally. This surge presents a substantial challenge in managing …
increased copper mining globally. This surge presents a substantial challenge in managing …