Machine learning prediction of mechanical properties of concrete: Critical review
Accurate prediction of the mechanical properties of concrete has been a concern since
these properties are often required by design codes. The emergence of new concrete …
these properties are often required by design codes. The emergence of new concrete …
A review on rock hardness testing methods and their applications in rock engineering
This paper aims to discuss the recent development in rock hardness testing methods and
their applications in rock engineering and geological studies. Hardness is one of the …
their applications in rock engineering and geological studies. Hardness is one of the …
[HTML][HTML] Modelling and prediction of binder content using latest intelligent machine learning algorithms in carbon fiber reinforced asphalt concrete
In the present work, an attempt is made to find the most suitable prediction model for
Marshall Stability and the optimistic Bitumen Content (BC) in carbon fiber reinforced asphalt …
Marshall Stability and the optimistic Bitumen Content (BC) in carbon fiber reinforced asphalt …
Application of machine learning techniques for predicting compressive, splitting tensile, and flexural strengths of concrete with metakaolin
The mechanical properties of concrete are the important parameters in a design code. The
amount of laboratory trial batches and experiments required to produce useful design data …
amount of laboratory trial batches and experiments required to produce useful design data …
Water quality management using hybrid machine learning and data mining algorithms: An indexing approach
One of the key functions of global water resource management authorities is river water
quality (WQ) assessment. A water quality index (WQI) is developed for water assessments …
quality (WQ) assessment. A water quality index (WQI) is developed for water assessments …
Daily water level prediction of Zrebar Lake (Iran): a comparison between M5P, random forest, random tree and reduced error pruning trees algorithms
Zrebar Lake is one of the largest freshwater lakes in Iran and it plays an important role in the
ecosystem of the environment, while its desiccation has a negative impact on the …
ecosystem of the environment, while its desiccation has a negative impact on the …
Machine learning approach for predicting concrete compressive, splitting tensile, and flexural strength with waste foundry sand
V Mehta - Journal of Building Engineering, 2023 - Elsevier
The scarcity of landfilling and the growing expense of disposal, recycling, and reusing
industrial byproducts have become attractive alternatives to removal. There are several sorts …
industrial byproducts have become attractive alternatives to removal. There are several sorts …
A new conventional criterion for the performance evaluation of gang saw machines
The process of cutting dimension stones by gang saw machines plays a vital role in the
productivity and efficiency of quarries and stone cutting factories. The maximum electrical …
productivity and efficiency of quarries and stone cutting factories. The maximum electrical …
Application of metaheuristic algorithms to optimal clustering of sawing machine vibration
The sawing machine vibration is a major factor to evaluate and predict the sawing
performance. A few increases in sawing machine vibration cause a significant increase in …
performance. A few increases in sawing machine vibration cause a significant increase in …
Performance evaluation of gang saw using hybrid ANFIS-DE and hybrid ANFIS-PSO algorithms
AR Dormishi, M Ataei, R Khaloo Kakaie… - Journal of Mining …, 2019 - jme.shahroodut.ac.ir
One of the most significant and effective criteria in the process of cutting dimensional rocks
using the gang saw is the maximum energy consumption rate of the machine, and its …
using the gang saw is the maximum energy consumption rate of the machine, and its …