Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models
This study aims to implement a hybrid ensemble surrogate machine learning technique in
predicting the compressive strength (CS) of concrete, an important parameter used for …
predicting the compressive strength (CS) of concrete, an important parameter used for …
Artificial intelligence to model the performance of concrete mixtures and elements: a review
A Behnood, EM Golafshani - Archives of Computational Methods in …, 2022 - Springer
Concrete is the most widely used man-made material in the construction of structures,
pavements, bridges, dams, and infrastructures. Depending on the type of components and …
pavements, bridges, dams, and infrastructures. Depending on the type of components and …
A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength
DJ Armaghani, PG Asteris - Neural Computing and Applications, 2021 - Springer
Despite the extensive use of mortars materials in constructions over the last decades, there
is not yet a reliable and robust method, available in the literature, which can estimate its …
is not yet a reliable and robust method, available in the literature, which can estimate its …
Prediction of concrete materials compressive strength using surrogate models
Using soft computing methods could be of great interest in predicting the compressive
strength of Ultra-High-Performance Fibre Reinforced Concrete (UHPFRC). Therefore, this …
strength of Ultra-High-Performance Fibre Reinforced Concrete (UHPFRC). Therefore, this …
Introducing stacking machine learning approaches for the prediction of rock deformation
Accurate and reliable predictions of rock deformations are crucial in many rock-based
projects in civil and mining engineering. In this research, a new system for the prediction of …
projects in civil and mining engineering. In this research, a new system for the prediction of …
A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model
J Duan, PG Asteris, H Nguyen, XN Bui… - Engineering with …, 2021 - Springer
Recycled aggregate concrete is used as an alternative material in construction engineering,
aiming to environmental protection and sustainable development. However, the …
aiming to environmental protection and sustainable development. However, the …
Prediction of cement-based mortars compressive strength using machine learning techniques
The application of artificial neural networks in mapping the mechanical characteristics of the
cement-based materials is underlined in previous investigations. However, this machine …
cement-based materials is underlined in previous investigations. However, this machine …
Prediction of ground vibration induced by blasting operations through the use of the Bayesian Network and random forest models
The present study aims to compare the performance of two machine learning techniques
that can unveil the relationship between the input and target variables and predict the …
that can unveil the relationship between the input and target variables and predict the …
Prediction of heating and cooling loads based on light gradient boosting machine algorithms
J Guo, S Yun, Y Meng, N He, D Ye, Z Zhao, L Jia… - Building and …, 2023 - Elsevier
Abstract Machine learning models have been widely used to study the prediction of heating
and cooling loads in residential buildings. However, most of these methods use the default …
and cooling loads in residential buildings. However, most of these methods use the default …
Supervised machine learning techniques to the prediction of tunnel boring machine penetration rate
Predicting the penetration rate is a complex and challenging task due to the interaction
between the tunnel boring machine (TBM) and the rock mass. Many studies highlight the …
between the tunnel boring machine (TBM) and the rock mass. Many studies highlight the …