Prediction of concrete compressive strength: Research on hybrid models genetic based algorithms and ANFIS
Z Yuan, LN Wang, X Ji - Advances in Engineering Software, 2014 - Elsevier
The management of concrete quality is an important task of concrete industry. This paper
researched on the structured and unstructured factors which affect the concrete quality …
researched on the structured and unstructured factors which affect the concrete quality …
Predicting compressive strength of cement-stabilized earth blocks using machine learning models incorporating cement content, ultrasonic pulse velocity, and …
N Sathiparan, P Jeyananthan - Nondestructive Testing and …, 2024 - Taylor & Francis
The quality monitoring technique for Cement stabilised earth blocks (CSEBs) is so
challenging that it is often neglected. This study has investigated the possibility of using …
challenging that it is often neglected. This study has investigated the possibility of using …
Prediction of concrete compressive strength using a back-propagation neural network optimized by a genetic algorithm and response surface analysis considering the …
In the present research, the authors have attempted to examine the compressive strength of
conventional concrete, which is made using different aggregate sizes and geometries …
conventional concrete, which is made using different aggregate sizes and geometries …
Comparative analysis of soft computing techniques in predicting the compressive and tensile strength of seashell containing concrete
Despite the advantages of using seashells in concrete, predictive models have not yet been
proposed for this type of concrete. To fill this gap, the present study utilized three distinctive …
proposed for this type of concrete. To fill this gap, the present study utilized three distinctive …
[HTML][HTML] Mathematical prediction of the compressive strength of bacterial concrete using gene expression programming
The impact of microbial calcium carbonate on concrete strength has been extensively
evaluated in the literature. However, there is no predicted equation for the compressive …
evaluated in the literature. However, there is no predicted equation for the compressive …
Hybrid machine learning models to predict the shear strength of discontinuities with different joint wall compressive strength
S Xie, H Lin, Y Chen, R Yao, Z Sun… - … Testing and Evaluation, 2024 - Taylor & Francis
The shear strength of discontinuities with different joint wall compressive strength (DDJCS)
is an important mechanical property. In this paper, the prediction of shear strength of DDJCS …
is an important mechanical property. In this paper, the prediction of shear strength of DDJCS …
Use of nondestructive testing of ultrasound and artificial neural networks to estimate compressive strength of concrete
FAN Silva, JMPQ Delgado, RS Cavalcanti… - Buildings, 2021 - mdpi.com
The work presents the results of an experimental campaign carried out on concrete
elements in order to investigate the potential of using artificial neural networks (ANNs) to …
elements in order to investigate the potential of using artificial neural networks (ANNs) to …
Development of multiple linear regression, artificial neural networks and fuzzy logic models to predict the efficiency factor and durability indicator of nano natural …
AM Al-Swaidani, WT Khwies, M Al-Baly… - Journal of Building …, 2022 - Elsevier
The current study aims at predicting the efficiency factor (EF) and durability indicator (DI) of
the natural pozzolana when added as a cement replacement at nano scale. Multiple linear …
the natural pozzolana when added as a cement replacement at nano scale. Multiple linear …
[PDF][PDF] Structural failure classification for reinforced concrete buildings using trained neural network based multi-objective genetic algorithm
S Chatterjee, S Sarkar, S Hore, N Dey… - Structural …, 2017 - researchgate.net
Structural design has an imperative role in deciding the failure possibility of a Reinforced
Concrete (RC) structure. Recent research works achieved the goal of predicting the …
Concrete (RC) structure. Recent research works achieved the goal of predicting the …
[HTML][HTML] A metaheuristic-guided machine learning approach for concrete strength prediction with high mix design variability using ultrasonic pulse velocity data
Assessment of concrete strength in existing structures is a common engineering problem.
Several attempts in the literature showed the potential of ML methods for predicting concrete …
Several attempts in the literature showed the potential of ML methods for predicting concrete …