Computational design and manufacturing of sustainable materials through first-principles and materiomics
Engineered materials are ubiquitous throughout society and are critical to the development
of modern technology, yet many current material systems are inexorably tied to widespread …
of modern technology, yet many current material systems are inexorably tied to widespread …
Artificial intelligence to model the performance of concrete mixtures and elements: a review
A Behnood, EM Golafshani - Archives of Computational Methods in …, 2022 - Springer
Concrete is the most widely used man-made material in the construction of structures,
pavements, bridges, dams, and infrastructures. Depending on the type of components and …
pavements, bridges, dams, and infrastructures. Depending on the type of components and …
[HTML][HTML] Estimating compressive strength of lightweight foamed concrete using neural, genetic and ensemble machine learning approaches
Foamed concrete is special not only in terms of its unique properties, but also in terms of its
challenging compositional mixture design, which necessitates multiple experimental trials …
challenging compositional mixture design, which necessitates multiple experimental trials …
[HTML][HTML] Data-driven multicollinearity-aware multi-objective optimisation of green concrete mixes
A multicollinearity-aware multi-objective optimisation (MA-MOO) framework was developed
to minimise the main environmental issues and the cost of production of green concrete …
to minimise the main environmental issues and the cost of production of green concrete …
Predictive modelling of sustainable lightweight foamed concrete using machine learning novel approach
Foamed concrete is a versatile material that can be used in different construction
applications and with proper mix designing, it can also be used as a structural member. The …
applications and with proper mix designing, it can also be used as a structural member. The …
Mapping the strength of agro-ecological lightweight concrete containing oil palm by-product using artificial intelligence techniques
A Ashrafian, E Panahi, S Salehi, M Karoglou… - Structures, 2023 - Elsevier
The critical challenge for the cement production industry is the high emission of greenhouse
gases. For the sustainability in a cycling economy context civil and environmental engineers …
gases. For the sustainability in a cycling economy context civil and environmental engineers …
Predicting carbonation depth of concrete using a hybrid ensemble model
Z Huo, L Wang, Y Huang - Journal of Building Engineering, 2023 - Elsevier
This study aims to develop a robust and accurate machine learning-based model to improve
the prediction accuracy of carbonation depth in complex concrete structures. Two hybrid …
the prediction accuracy of carbonation depth in complex concrete structures. Two hybrid …
Data-driven model for ternary-blend concrete compressive strength prediction using machine learning approach
Ternary-blend concrete is a complex composite material, and the nonlinearity in its
compressive strength behavior is unquestionable. Entirely many models have been …
compressive strength behavior is unquestionable. Entirely many models have been …
Machine learning approach for predicting concrete compressive, splitting tensile, and flexural strength with waste foundry sand
V Mehta - Journal of Building Engineering, 2023 - Elsevier
The scarcity of landfilling and the growing expense of disposal, recycling, and reusing
industrial byproducts have become attractive alternatives to removal. There are several sorts …
industrial byproducts have become attractive alternatives to removal. There are several sorts …
Forensic-based investigation-optimized extreme gradient boosting system for predicting compressive strength of ready-mixed concrete
Regulations mandate testing concrete's compressive strength after the concrete has cured
for 28 days. In the ideal situation, cured strength equals the target strength. Advanced …
for 28 days. In the ideal situation, cured strength equals the target strength. Advanced …