[HTML][HTML] Application of artificial intelligence to evaluate the fresh properties of self-consolidating concrete

Y Feng, M Mohammadi, L Wang, M Rashidi, P Mehrabi - Materials, 2021 - mdpi.com
This paper numerically investigates the required superplasticizer (SP) demand for self-
consolidating concrete (SCC) as a valuable information source to obtain a durable SCC. In …

Utilizing artificial intelligence to predict the superplasticizer demand of self-consolidating concrete incorporating pumice, slag, and fly ash powders

J Liu, M Mohammadi, Y Zhan, P Zheng, M Rashidi… - Materials, 2021 - mdpi.com
Self-consolidating concrete (SCC) is a well-known type of concrete, which has been
employed in different structural applications due to providing desirable properties. Different …

Predicting the compressive strength of self‐compacting concrete containing Class F fly ash using metaheuristic radial basis function neural network

G Pazouki, EM Golafshani, A Behnood - Structural Concrete, 2022 - Wiley Online Library
The use of Class F fly ash (CFFA) as a partial replacement of cement in the concrete mixture
can provide a wide variety benefits such as improving the mechanical properties, reducing …

Application of artificial intelligence methods for predicting the compressive strength of self-compacting concrete with class F fly ash

M Kovačević, S Lozančić, EK Nyarko… - Materials, 2022 - mdpi.com
Replacing a specified quantity of cement with Class F fly ash contributes to sustainable
development and reducing the greenhouse effect. In order to use Class F fly ash in self …

A novel hybrid radial basis function method for predicting the fresh and hardened properties of self-compacting concrete

Z Nurlan - Advances in Engineering and Intelligence Systems, 2022 - aeis.bilijipub.com
It is observed from the published literature that there were so limited studies concentrating
on predicting both fresh or hardened properties of self-compacting concrete (SCC). Hence, it …

Predicting the compressive strength of self-compacting concrete containing fly ash using a hybrid artificial intelligence method

EM Golafshani, G Pazouki - Computers and Concrete, An International …, 2018 - dbpia.co.kr
The compressive strength of self-compacting concrete (SCC) containing fly ash (FA) is
highly related to its constituents. The principal purpose of this paper is to investigate the …

Grey Wolf Optimizer‐Based ANNs to Predict the Compressive Strength of Self‐Compacting Concrete

A Andalib, B Aminnejad, A Lork - … Intelligence and Soft …, 2022 - Wiley Online Library
Ever since their presentation in the late 80s, self‐compacting concrete (SCC) has been well
received by researchers. SCC can flow under their weight and exhibit high workability …

Compressive Strength Evaluation of Fiber‐Reinforced High‐Strength Self‐Compacting Concrete with Artificial Intelligence

TT Nguyen, H Pham Duy… - Advances in Civil …, 2020 - Wiley Online Library
This paper describes the application of two artificial intelligence‐(AI‐) based methods to
predict the 28‐day compressive strength of fiber‐reinforced high‐strength self‐compacting …

[HTML][HTML] A novel integrated approach of RUNge Kutta optimizer and ANN for estimating compressive strength of self-compacting concrete

R Biswas, M Kumar, RK Singh, M Alzara… - Case Studies in …, 2023 - Elsevier
In this study machine learning models are used that forecast the compressive strength of self-
compacting concrete (SCC) depending on percentage replacement of cement by …

Predicting the compressive strength of normal and High-Performance Concretes using ANN and ANFIS hybridized with Grey Wolf Optimizer

EM Golafshani, A Behnood, M Arashpour - Construction and Building …, 2020 - Elsevier
Achieving a reliable model for predicting the compressive strength (CS) of concrete can
save in time, energy, and cost and also provide information about scheduling for …