[HTML][HTML] Machine learning-driven predictive models for compressive strength of steel fiber reinforced concrete subjected to high temperatures
Steel-fiber-reinforced concrete (SFRC) has emerged as a viable and efficient substitute for
traditional concrete in the construction industry. By incorporating steel fibers into the …
traditional concrete in the construction industry. By incorporating steel fibers into the …
[HTML][HTML] Forecasting the strength characteristics of concrete incorporating waste foundry sand using advance machine algorithms including deep learning
The incorporation of waste foundry sand (WFS) into concrete has been recognized as a
sustainable approach to improve the strength properties of waste foundry sand concrete …
sustainable approach to improve the strength properties of waste foundry sand concrete …
Towards sustainable construction: Machine learning based predictive models for strength and durability characteristics of blended cement concrete
Supplementary cementitious materials (SCMs) are widely utilized in concrete mixtures,
either substituting a part of the cement content or replacing a portion of clinker in cement …
either substituting a part of the cement content or replacing a portion of clinker in cement …
Forecasting the strength of micro/nano silica in cementitious matrix by machine learning approaches
This work provides an intelligent machine learning-based technique for anticipating cement
paste compressive strength incorporating nanocomposite. In this approach, artificial neural …
paste compressive strength incorporating nanocomposite. In this approach, artificial neural …
[HTML][HTML] Forecasting the strength of graphene nanoparticles-reinforced cementitious composites using ensemble learning algorithms
Contemporary infrastructure requires structural elements with enhanced mechanical
strength and durability. Integrating nanomaterials into concrete is a promising solution to …
strength and durability. Integrating nanomaterials into concrete is a promising solution to …
[HTML][HTML] Strength predictive models of cementitious matrix by hybrid intrusion of nano and micro silica: Hyper-tuning with ensemble approaches
The incorporation of nanomaterials (NMs) in concrete will produce the utmost properties.
Nevertheless, investigational work takes a great deal of time with efforts to measure the …
Nevertheless, investigational work takes a great deal of time with efforts to measure the …
Mathematical formulation for predicting moisture damage indices of asphalt mixtures treated with sustainable waste plastic modifiers using gene expression …
Flexible pavements are susceptible to rutting, fatigue, and moisture damage failures. As a
sustainable approach, waste plastic modifiers have been used to improve the moisture …
sustainable approach, waste plastic modifiers have been used to improve the moisture …
[HTML][HTML] Potential of Using Waste Materials in Flexible Pavement Structures Identified by Optimization Design Approach
This paper presents the design of geosynthetic reinforced flexible pavements and their
modification by incorporating waste materials into bonded and unbonded layers of the …
modification by incorporating waste materials into bonded and unbonded layers of the …
Plastic Waste: Solution for Paving Sustainable Roads
Nowadays every recent advancement or technology comes with the title of ecofriendly,
sustainable, green approach, environment benign. Plastic, some decades before is a …
sustainable, green approach, environment benign. Plastic, some decades before is a …
[HTML][HTML] Plastic roads: asphalt mix design and performance
Plastic materials are extensively utilized in various aspects of daily life. However, the
substantial amount of plastic waste generated can cause significant global environmental …
substantial amount of plastic waste generated can cause significant global environmental …