AI-based prediction for the strength, cost, and sustainability of eggshell and date palm ash-blended concrete DOI Creative Commons
Quanwei Zhao, Qi Chen, Ali H. AlAteah

и другие.

REVIEWS ON ADVANCED MATERIALS SCIENCE, Год журнала: 2025, Номер 64(1)

Опубликована: Янв. 1, 2025

Abstract Eggshell powder (ESP) and date palm ash (DPA) are increasingly used as sustainable cement substitutes in cementitious composites. This study multi-expression programming (MEP) to develop prediction models due its advantage of yielding model equations. The attributes ESP DPA-modified concrete chosen for modeling include compressive strength (C-S), eco-strength (E-C-S), cost-strength ratio (C-S-R). Hyperparameters MEP were fine-tuned get the maximum accuracy predictions. validated using R 2 statistical checks analyzing variance among predictions real values. noted be exact estimating C-S, C-S-R, E-C-S with an 95, 93, 92%, respectively, indicating good agreement actual data. Additionally, ±20% index analysis indicated that all values fall within acceptable range, validating model’s reliability. mathematical expression-based developed this can applied future ESP–DPA-modified concrete. These designed operate a predetermined set input parameters incompatible variable inputs. it is imperative maintain consistency units inputs obtain precise from constructed models.

Язык: Английский

AI-Powered Optimization of Engineered Cementitious Composites Properties and CO₂ Emissions for Sustainable Construction DOI Creative Commons
Qiuying Chang,

Chuanhai Zhao,

Ali H. AlAteah

и другие.

Case Studies in Construction Materials, Год журнала: 2025, Номер unknown, С. e04405 - e04405

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

2
Next-Generation Cutting-Edge Hybrid AI Frameworks for Predicting Rheological Properties and CO₂ Emissions in Alkali-Activated Concrete DOI Creative Commons
Lu Zhang, Kangning Liu, Ali H. AlAteah

и другие.

Case Studies in Construction Materials, Год журнала: 2025, Номер unknown, С. e04754 - e04754

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0
Durability Prediction of Sustainable Marine Concrete under Freeze-Thaw Cycles Using Multi-Objective Machine Learning Models DOI Creative Commons

Aïssa REZZOUG,

Ali H. AlAteah,

Sadiq Alinsaif

и другие.

Case Studies in Construction Materials, Год журнала: 2025, Номер unknown, С. e04787 - e04787

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0
AI-based prediction for the strength, cost, and sustainability of eggshell and date palm ash-blended concrete DOI Creative Commons
Quanwei Zhao, Qi Chen, Ali H. AlAteah

и другие.

REVIEWS ON ADVANCED MATERIALS SCIENCE, Год журнала: 2025, Номер 64(1)

Опубликована: Янв. 1, 2025

Abstract Eggshell powder (ESP) and date palm ash (DPA) are increasingly used as sustainable cement substitutes in cementitious composites. This study multi-expression programming (MEP) to develop prediction models due its advantage of yielding model equations. The attributes ESP DPA-modified concrete chosen for modeling include compressive strength (C-S), eco-strength (E-C-S), cost-strength ratio (C-S-R). Hyperparameters MEP were fine-tuned get the maximum accuracy predictions. validated using R 2 statistical checks analyzing variance among predictions real values. noted be exact estimating C-S, C-S-R, E-C-S with an 95, 93, 92%, respectively, indicating good agreement actual data. Additionally, ±20% index analysis indicated that all values fall within acceptable range, validating model’s reliability. mathematical expression-based developed this can applied future ESP–DPA-modified concrete. These designed operate a predetermined set input parameters incompatible variable inputs. it is imperative maintain consistency units inputs obtain precise from constructed models.

Язык: Английский

Процитировано

0