Machine and deep learning methods for concrete strength Prediction: A bibliometric and content analysis review of research trends and future directions
This review paper provides a detailed evaluation of the existing landscape and future trends
in applying machine learning and deep learning approaches for predicting concrete strength …
in applying machine learning and deep learning approaches for predicting concrete strength …
Predicting the shear strength of concrete beam through ANFIS-GA–PSO hybrid modeling
In this study, we developed an ANFIS-GA-PSO hybrid model for predicting the shear
strength of concrete beams. Predicting the shear strength of concrete beams before …
strength of concrete beams. Predicting the shear strength of concrete beams before …
[HTML][HTML] Use of waste glass powder toward more sustainable geopolymer concrete
The influence of waste glass powder (WGP) with fly ash in certain proportions on
geopolymer concrete (GPC) was investigated by exchanging different proportions of molarity …
geopolymer concrete (GPC) was investigated by exchanging different proportions of molarity …
[HTML][HTML] The use of crushed recycled glass for alkali activated fly ash based geopolymer concrete and prediction of its capacity
The influence of waste glass aggregate (WGA) with fly ash in certain proportions was
studied by different amounts of molarity and WGA proportion on geopolymer concrete …
studied by different amounts of molarity and WGA proportion on geopolymer concrete …
[HTML][HTML] RETRACTED: Application of waste ceramic powder as a cement replacement in reinforced concrete beams toward sustainable usage in construction
C Aksoylu, YO Özkılıç, A Bahrami, SA Yıldızel… - 2023 - Elsevier
Following a complaint received by the editors, it was found upon investigation that 5 citations
were added to this paper at the author proof stage. In most cases the added citations were …
were added to this paper at the author proof stage. In most cases the added citations were …
Enhancing deep learning-based slope stability classification using a novel metaheuristic optimization algorithm for feature selection
The evaluation of slope stability is of crucial importance in geotechnical engineering and
has significant implications for infrastructure safety, natural hazard mitigation, and …
has significant implications for infrastructure safety, natural hazard mitigation, and …
Indirect estimation of resilient modulus (Mr) of subgrade soil: Gene expression programming vs multi expression programming
Accurate prediction of resilient modulus (MR) in compacted subgrade soil is crucial for
planning secure and environmentally friendly flexible pavement systems. This research …
planning secure and environmentally friendly flexible pavement systems. This research …
[HTML][HTML] Indentation, finite element modeling and artificial neural network studies on mechanical behavior of GFRP composites in an acidic environment
In this study, the indentation tests are performed with various forces using the Vickers
indenter to investigate the mechanical properties, including the elastic modulus, hardness …
indenter to investigate the mechanical properties, including the elastic modulus, hardness …
[HTML][HTML] A novel method for determining the particle breakage contribution of high-speed railway graded aggregate and its application in vibratory compaction
The essence of vibratory compaction of high-speed railway graded aggregate (HRGA)
materials lies in both internal particle rearrangement and breakage. However, there is a …
materials lies in both internal particle rearrangement and breakage. However, there is a …
Assessing the effect of lime-zeolite on geotechnical properties and microstructure of reconstituted clay used as a subgrade soil
This study investigates the replacement of conventional stabilizers with eco-friendly
alternatives, with a specific focus on enhancing pavement subgrade applications. This …
alternatives, with a specific focus on enhancing pavement subgrade applications. This …