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 …

Life cycle assessment multi-objective optimization and deep belief network model for sustainable lightweight aggregate concrete

F Dabbaghi, A Tanhadoust, ML Nehdi… - Journal of Cleaner …, 2021 - Elsevier
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 …

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 …

Investigation on optimal lightweight expanded clay aggregate concrete at high temperature based on deep neural network

F Dabbaghi, A Tanhadoust, ML Nehdi… - Structural …, 2022 - Wiley Online Library
This study explores the effects of mixture design parameters on the residual mechanical
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 …

An intelligent sensing system for estimation of efficiency of carbon-capturing unit in a cement plant

UK Jadoon, I Ahmad, T Noor, M Kano… - Journal of Cleaner …, 2022 - Elsevier
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 …

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 …

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 …

Prediction model based on artificial neural network for pyrophyllite mechano-chemical activation as an integral step in production of cement binders

A Terzić, D Radulović, M Pezo, J Stojanović… - … and Building Materials, 2020 - Elsevier
The optimal outputs of pyrophyllite mechano-chemical activation in an ultra-centrifugal mill
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 …