High-performance self-compacting concrete with recycled coarse aggregate: Soft-computing analysis of compressive strength
The growth of cities and industrialization has led to an increase in demand for concrete,
resulting in resource depletion and environmental issues. Sustainable alternatives such as …
resulting in resource depletion and environmental issues. Sustainable alternatives such as …
Use of operational research techniques for concrete mix design: A systematic review
Traditional methods for designing concrete mixtures provide good results; however, they do
not guarantee the optimum composition. Consequently, applying operational research …
not guarantee the optimum composition. Consequently, applying operational research …
Estimation of the compressive strength of green concretes containing rice husk ash: a comparison of different machine learning approaches
A Tavana Amlashi… - European Journal of …, 2023 - Taylor & Francis
To mitigate the environmental issues related to the utilisation of ordinary portland cement
(OPC) in concrete mixtures, attempts have been carried out to find alternative binders such …
(OPC) in concrete mixtures, attempts have been carried out to find alternative binders such …
Introduction of a novel evolutionary neural network for evaluating the compressive strength of concretes: A case of Rice Husk Ash concrete
The construction industry is facing challenges from the hazardous nature of Ordinary
Portland Cement (OPC) production as one of the main contributors to global warming and …
Portland Cement (OPC) production as one of the main contributors to global warming and …
[HTML][HTML] Hybrid data-driven approaches to predicting the compressive strength of ultra-high-performance concrete using SHAP and PDP analyses
Ultra-high-performance concrete (UHPC) is a cutting-edge and advanced construction
material known for its exceptional mechanical properties and durability. Recently, machine …
material known for its exceptional mechanical properties and durability. Recently, machine …
Optimized prediction modeling of micropollutant removal efficiency in forward osmosis membrane systems using explainable machine learning algorithms
This study investigated the feasibility of using machine learning (ML)-based models to
simulate the behavior of micropollutants (MPs) in the forward osmosis (FO) membrane water …
simulate the behavior of micropollutants (MPs) in the forward osmosis (FO) membrane water …
Prediction of the shear modulus of municipal solid waste (MSW): An application of machine learning techniques
The dynamic properties of Municipal Solid Waste (MSW) are site-specific and need to be
evaluated separately in different regions. The laboratory-based evaluation of MSW has …
evaluated separately in different regions. The laboratory-based evaluation of MSW has …
Machine learning techniques for evaluating concrete strength with waste marble powder
The purpose of the research is to predict the compressive and flexural strengths of the
concrete mix by using waste marble powder as a partial replacement of cement and sand …
concrete mix by using waste marble powder as a partial replacement of cement and sand …
Hygro–thermo–magnetically induced vibration of nanobeams with simultaneous axial and spinning motions based on nonlocal strain gradient theory
In this paper, based on the nonlocal strain gradient theory (NSGT), the coupled vibrations of
nanobeams with axial and spinning motions under complex environmental changes are …
nanobeams with axial and spinning motions under complex environmental changes are …
Computational prediction of workability and mechanical properties of bentonite plastic concrete using multi-expression programming
M Khan, M Ali, T Najeh, Y Gamil - Scientific Reports, 2024 - nature.com
Bentonite plastic concrete (BPC) demonstrated promising potential for remedial cut-off wall
construction to mitigate dam seepage, as it fulfills essential criteria for strength, stiffness, and …
construction to mitigate dam seepage, as it fulfills essential criteria for strength, stiffness, and …