Artificial intelligence techniques in advanced concrete technology: A comprehensive survey on 10 years research trend
R Kazemi - Engineering Reports, 2023 - Wiley Online Library
Advanced concrete technology is the science of efficient, cost‐effective, and safe design in
civil engineering projects. Engineers and concrete designers are generally faced with the …
civil engineering projects. Engineers and concrete designers are generally faced with the …
Life cycle assessment multi-objective optimization and deep belief network model for sustainable lightweight aggregate concrete
There has been rapidly growing demand for manufacturing structural lightweight concrete
(LWC) owing to its reduced gravity and seismic loads. Concrete is required to meet …
(LWC) owing to its reduced gravity and seismic loads. Concrete is required to meet …
ANN and GEP prediction for simultaneous effect of nano and micro silica on the compressive and flexural strength of cement mortar
M Azimi-Pour, H Eskandari-Naddaf - Construction and Building Materials, 2018 - Elsevier
Artificial neural networks (ANNs) and genetic expression programming (GEP) have recently
been used to model the properties of cement mortar containing nano silica (NS) or micro …
been used to model the properties of cement mortar containing nano silica (NS) or micro …
Investigation on optimal lightweight expanded clay aggregate concrete at high temperature based on deep neural network
This study explores the effects of mixture design parameters on the residual mechanical
properties of lightweight expanded clay aggregate (LECA) concrete exposed to elevated …
properties of lightweight expanded clay aggregate (LECA) concrete exposed to elevated …
Optimal design of sustainable recycled rubber-filled concrete using life cycle assessment and multi-objective optimization
A Tanhadoust, SAA Emadi, S Nasrollahpour… - … and Building Materials, 2023 - Elsevier
This research studies the use of recycled crumb rubber (CR) as partial replacement for fine
aggregates in concrete. Fracture analysis and Life Cycle Assessment (LCA) approach are …
aggregates in concrete. Fracture analysis and Life Cycle Assessment (LCA) approach are …
An intelligent sensing system for estimation of efficiency of carbon-capturing unit in a cement plant
In this study, an artificial intelligence-based framework was developed to monitor the
efficiency of the carbon capture unit, ie, the Sour Compression Unit (SCU) and a cryogenic …
efficiency of the carbon capture unit, ie, the Sour Compression Unit (SCU) and a cryogenic …
A novel support vector machine ensemble model for estimation of free lime content in cement clinkers
X Liu, J Jin, W Wu, F Herz - ISA transactions, 2020 - Elsevier
Free lime (f-CaO) content is a crucial quality parameter for cement clinkers in rotary cement
kiln. Due to lack of hardware sensors, f-CaO content in cement clinker is mostly obtained by …
kiln. Due to lack of hardware sensors, f-CaO content in cement clinker is mostly obtained by …
Identification and expert approach to controlling the cement grinding process using artificial neural networks and other non-linear models
D Pawuś, S Paszkiel - IEEE Access, 2024 - ieeexplore.ieee.org
The paper involved conducting preliminary research to explore the identification and control
of a multi-dimensional, non-linear, and non-stationary cement grinding process using …
of a multi-dimensional, non-linear, and non-stationary cement grinding process using …
Prediction model based on artificial neural network for pyrophyllite mechano-chemical activation as an integral step in production of cement binders
The optimal outputs of pyrophyllite mechano-chemical activation in an ultra-centrifugal mill
performing under different technological conditions were determined by analytical modeling …
performing under different technological conditions were determined by analytical modeling …
Improvement of a cement rotary kiln performance using artificial neural network
H Aghdasinia, SS Hosseini, J Hamedi - Journal of Ambient Intelligence …, 2021 - Springer
In order to investigate the effect of parameters and system optimization, the processes must
be modeled first. Cement rotary kiln systems are complex because of non-linear, time …
be modeled first. Cement rotary kiln systems are complex because of non-linear, time …