Artificial intelligence algorithms for prediction and sensitivity analysis of mechanical properties of recycled aggregate concrete: A review
Using recycled aggregates generated from demolition waste for concrete production is a
promissory option to reduce the environmental footprint of the built environment. However …
promissory option to reduce the environmental footprint of the built environment. However …
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 …
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 …
[HTML][HTML] Testing and modeling methods to experiment the flexural performance of cement mortar modified with eggshell powder
Sustainable development might be promoted if waste eggshells are used in cement-based
materials (CBMs) by decreasing waste disposal problems, CO 2 emissions, and material …
materials (CBMs) by decreasing waste disposal problems, CO 2 emissions, and material …
LGBM-based modeling scenarios to compressive strength of recycled aggregate concrete with SHAP analysis
Concrete production contributes significantly to global greenhouse gas emissions, and its
manufacture requires substantial natural resources. These concerns can be partly mitigated …
manufacture requires substantial natural resources. These concerns can be partly mitigated …
[HTML][HTML] Investigating the feasibility of using waste eggshells in cement-based materials for sustainable construction
To investigate the effect of eggshell powder on the water-absorption capacity of cement
mortar, this research employed experimental testing followed by machine learning (ML) …
mortar, this research employed experimental testing followed by machine learning (ML) …
Prediction of building energy performance using mathematical gene-expression programming for a selected region of dry-summer climate
Developing energy-efficient buildings considering building design parameters can help
reduce buildings' energy consumption. The energy efficiency of residential buildings is …
reduce buildings' energy consumption. The energy efficiency of residential buildings is …
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 …
[HTML][HTML] Sustainable use of waste eggshells in cementitious materials: An experimental and modeling-based study
This study evaluated the compressive strength (CS) of cement-based materials (CBMs)
incorporating eggshell powder (ESP) as a partial substitute for cement and fine aggregate …
incorporating eggshell powder (ESP) as a partial substitute for cement and fine aggregate …
A soft-computing-based modeling approach for predicting acid resistance of waste-derived cementitious composites
This research aimed to build estimation models for the compressive strength (CS) of cement
mortar containing eggshell and glass powder after the acid attack using machine learning …
mortar containing eggshell and glass powder after the acid attack using machine learning …