Intelligent mix design of recycled brick aggregate concrete based on swarm intelligence

S Wang, P Xia, Z Wang, T Meng, F Gong - Journal of Building Engineering, 2023 - Elsevier
The mechanical properties of recycled brick aggregate concrete (RBAC) are significantly
affected by design parameters such as recycled brick aggregate (RBA) replacement ratio …

Multi objective optimization of recycled aggregate concrete based on explainable machine learning

S Wang, P Xia, F Gong, Q Zeng, K Chen… - Journal of Cleaner …, 2024 - Elsevier
Recycled aggregate concrete (RAC) has received extensive attention as a green building
material. However, the service performance and sustainable potential of RAC have not been …

Mixture optimization of mechanical, economical, and environmental objectives for sustainable recycled aggregate concrete based on machine learning and …

K Liu, J Zheng, S Dong, W Xie, X Zhang - Journal of Building Engineering, 2023 - Elsevier
Recycled aggregate concrete (RAC) has received rapidly growing attention given its
contribution to sustainability in the construction industry. Except for material properties, eco …

Multi-objective optimization design of recycled aggregate concrete mixture proportions based on machine learning and NSGA-II algorithm

M Fan, Y Li, J Shen, K Jin, J Shi - Advances in Engineering Software, 2024 - Elsevier
Abstract This paper employs Support Vector Regression (SVR), Random Forest Regression
(RF), Gradient Boosting (GB), and Extreme Gradient Boosting (XGB) algorithms to establish …

LGBM-based modeling scenarios to compressive strength of recycled aggregate concrete with SHAP analysis

B Xi, E Li, Y Fissha, J Zhou… - Mechanics of Advanced …, 2023 - Taylor & Francis
Concrete production contributes significantly to global greenhouse gas emissions, and its
manufacture requires substantial natural resources. These concerns can be partly mitigated …

Machine learning-based approach for optimizing mixture proportion of recycled plastic aggregate concrete considering compressive strength, dry density, and …

SH Han, KH Khayat, S Park, J Yoon - Journal of Building Engineering, 2024 - Elsevier
The extensive use of plastics has resulted in significant environmental challenges due to
non-biodegradable waste. Researchers explore the integration of plastic waste into …

Mixture optimization of recycled aggregate concrete using hybrid machine learning model

I Nunez, A Marani, ML Nehdi - Materials, 2020 - mdpi.com
Recycled aggregate concrete (RAC) contributes to mitigating the depletion of natural
aggregates, alleviating the carbon footprint of concrete construction, and averting the …

Mix proportion design method of recycled brick aggregate concrete based on aggregate skeleton theory

P Ge, W Huang, J Zhang, W Quan, Y Guo - Construction and Building …, 2021 - Elsevier
Due to the specific gravity of recycled brick aggregate (RBA) is less than that of natural
aggregate (NA), the traditional mix proportion design of concrete can not be used. The …

Predicting and optimizing the concrete compressive strength using an explainable boosting machine learning model

TC Vo, TQ Nguyen, VL Tran - Asian Journal of Civil Engineering, 2024 - Springer
Accurate and understandable prediction of concrete compressive strength (CCS) and
determining the optimal mixture to maximize the CCS are crucial tasks in engineering …

A hybrid intelligent system for designing optimal proportions of recycled aggregate concrete

J Zhang, Y Huang, F Aslani, G Ma, B Nener - Journal of Cleaner Production, 2020 - Elsevier
The replacement of natural coarse aggregate (NCA) with recycled coarse aggregate (RCA)
in concrete mixtures offers various advantages, including conservation of natural resources …