Recycled aggregates from construction and demolition waste towards an application on structural concrete: A review

F de Andrade Salgado, F de Andrade Silva - Journal of Building …, 2022 - Elsevier
The construction sector, in addition to being very important for the economy of several
countries, also has a significant impact on the environment as it causes a huge natural …

A comprehensive review on recycled aggregate and recycled aggregate concrete

B Wang, L Yan, Q Fu, B Kasal - Resources, Conservation and Recycling, 2021 - Elsevier
Using recycled aggregate s from construction and demolition waste can preserve natural
aggregate resources, reduce demand of landfill, and contribute to sustainable built …

Evaluating compressive strength of concrete made with recycled concrete aggregates using machine learning approach

VQ Tran, VQ Dang, LS Ho - Construction and Building Materials, 2022 - Elsevier
To reduce the environmental impact of construction and demolition waste of concrete,
recycled concrete aggregate (RCA) has been widely utilized in concrete. The compressive …

Machine learning techniques for structural health monitoring of heritage buildings: A state-of-the-art review and case studies

M Mishra - Journal of Cultural Heritage, 2021 - Elsevier
This paper performed a systematic review of the various machine learning (ML) techniques
applied to assess the health condition of heritage buildings. More robust predictive models …

A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model

J Duan, PG Asteris, H Nguyen, XN Bui… - Engineering with …, 2021 - Springer
Recycled aggregate concrete is used as an alternative material in construction engineering,
aiming to environmental protection and sustainable development. However, the …

Development of deep neural network model to predict the compressive strength of rubber concrete

HB Ly, TA Nguyen, VQ Tran - Construction and Building Materials, 2021 - Elsevier
This paper presents an innovative development process of a Deep Neural Network model to
predict the compressive strength of rubber concrete. To this goal, a rubber concrete …

Effitioned soft computing models to evaluate the impact of silicon dioxide (SiO2) to calcium oxide (CaO) ratio in fly ash on the compressive strength of concrete

DKI Jaf, AS Abdulrahman, PI Abdulrahman… - Journal of Building …, 2023 - Elsevier
Environmental issues are raised from global warming due to raised Carbon Dioxide (CO 2)
emissions of factories worldwide. Cement production provides about 8–10% of the total CO …

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 …

Computational design optimization of concrete mixtures: A review

MA DeRousseau, JR Kasprzyk, WV Srubar Iii - Cement and Concrete …, 2018 - Elsevier
A comprehensive review of optimization research concerning the design and proportioning
of concrete mixtures is presented herein. Mixture design optimization is motivated by an ever …

An ensemble machine learning approach for prediction and optimization of modulus of elasticity of recycled aggregate concrete

T Han, A Siddique, K Khayat, J Huang… - Construction and Building …, 2020 - Elsevier
This paper presents an ensemble machine learning (ML) model for prediction of modulus of
elasticity (MOE) of concrete formulated using recycled concrete aggregate (RCA), in relation …