Machine learning in concrete science: applications, challenges, and best practices
Concrete, as the most widely used construction material, is inextricably connected with
human development. Despite conceptual and methodological progress in concrete science …
human development. Despite conceptual and methodological progress in concrete science …
Estimating compressive strength of modern concrete mixtures using computational intelligence: A systematic review
The mixture proportioning of conventional concrete is commonly established using
regression analysis of experimental data. However, such traditional empirical procedures …
regression analysis of experimental data. However, such traditional empirical procedures …
Prediction of thermo-mechanical properties of rubber-modified recycled aggregate concrete
The recycled aggregate (RA) and waste rubber particles (RPs) can be combined to prepare
rubber-modified recycled aggregate concrete (RRAC) effectively contributing to low-carbon …
rubber-modified recycled aggregate concrete (RRAC) effectively contributing to low-carbon …
The effect of graphite and slag on electrical and mechanical properties of electrically conductive cementitious composites
Electrically conductive cementitious composites (ECCCs) have become a significant
research interest in structural health monitoring. The use of graphite in ECCCs can …
research interest in structural health monitoring. The use of graphite in ECCCs can …
A hybrid intelligent system for designing optimal proportions of recycled aggregate concrete
The replacement of natural coarse aggregate (NCA) with recycled coarse aggregate (RCA)
in concrete mixtures offers various advantages, including conservation of natural resources …
in concrete mixtures offers various advantages, including conservation of natural resources …
Shear Strength Prediction Model of FRP Bar‐Reinforced Concrete Beams without Stirrups
D Gao, C Zhang - Mathematical problems in engineering, 2020 - Wiley Online Library
The shear strength prediction model for fiber‐reinforced polymer (FRP) bar‐reinforced
concrete beams without stirrups in ACI440. 1R‐2015 does not consider the “size effect” and …
concrete beams without stirrups in ACI440. 1R‐2015 does not consider the “size effect” and …
Mixture optimization for environmental, economical and mechanical objectives in silica fume concrete: A novel frame-work based on machine learning and a new …
Partial replacement of cement by silica fume in concrete provides advantages such as
mitigation of the impact on the environment of carbon dioxide emitted during cement …
mitigation of the impact on the environment of carbon dioxide emitted during cement …
A new auto-tuning model for predicting the rock fragmentation: a cat swarm optimization algorithm
J Huang, PG Asteris, S Manafi Khajeh Pasha… - Engineering with …, 2022 - Springer
The main focus of the present work is to offer an auto-tuning model, called cat swarm
optimization (CSO), to predict rock fragmentation. This population-based method has a …
optimization (CSO), to predict rock fragmentation. This population-based method has a …
Predicting compressive strength of concrete containing recycled aggregate using modified ANN with different optimization algorithms
Using recycled aggregate in concrete is one of the best ways to reduce construction
pollution and prevent the exploitation of natural resources to provide the needed aggregate …
pollution and prevent the exploitation of natural resources to provide the needed aggregate …
[HTML][HTML] Development of ensemble learning models to evaluate the strength of coal-grout materials
In the loose and fractured coal seam with particularly low uniaxial compressive strength
(UCS), driving a roadway is extremely difficult as roof falling and wall spalling occur …
(UCS), driving a roadway is extremely difficult as roof falling and wall spalling occur …