Predictive models for concrete properties using machine learning and deep learning approaches: A review

MM Moein, A Saradar, K Rahmati… - Journal of Building …, 2023 - Elsevier
Concrete is one of the most widely used materials in various civil engineering applications.
Its global production rate is increasing to meet demand. Mechanical properties of concrete …

A review of life cycle assessment of recycled aggregate concrete

Y Zhang, W Luo, J Wang, Y Wang, Y Xu… - Construction and Building …, 2019 - Elsevier
Recycled aggregate has emerged expecting to address raw materials shortage in
construction sector by converting waste concrete into resource. Many researchers adopted …

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 …

[HTML][HTML] Machine learning prediction models to evaluate the strength of recycled aggregate concrete

X Yuan, Y Tian, W Ahmad, A Ahmad, KI Usanova… - Materials, 2022 - mdpi.com
Compressive and flexural strength are the crucial properties of a material. The strength of
recycled aggregate concrete (RAC) is comparatively lower than that of natural aggregate …

Establishing a relationship between modulus of elasticity and compressive strength of recycled aggregate concrete

RV Silva, J De Brito, RK Dhir - Journal of cleaner production, 2016 - Elsevier
This paper provides a systematic literature review, based on the identification, appraisal,
selection and synthesis of the evidence of 121 publications published over a period of 43 …

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 …

Influence of different treatment methods on the mechanical behavior of recycled aggregate concrete: A comparative study

SMS Kazmi, MJ Munir, YF Wu, I Patnaikuni… - Cement and concrete …, 2019 - Elsevier
Recycling of construction and demolition waste in the concrete is considered a sustainable
way However, recycled aggregates (RA) with inferior properties are produced after recycling …

New formulations for mechanical properties of recycled aggregate concrete using gene expression programming

A Gholampour, AH Gandomi, T Ozbakkaloglu - Construction and Building …, 2017 - Elsevier
This paper presents new empirical models for prediction of the mechanical properties of
recycled aggregate concrete (RAC) using gene expression programming (GEP) technique …

Mechanical and thermal properties of lightweight recycled plastic aggregate concrete

SI Basha, MR Ali, SU Al-Dulaijan… - Journal of Building …, 2020 - Elsevier
The non-biodegradable character of plastics is of concern to the scientists and
environmentalists worldwide. Consequently, there is an exigent need to identify avenues for …

[HTML][HTML] Comparison of prediction models based on machine learning for the compressive strength estimation of recycled aggregate concrete

K Khan, W Ahmad, MN Amin, F Aslam, A Ahmad… - Materials, 2022 - mdpi.com
Numerous tests are used to determine the performance of concrete, but compressive
strength (CS) is usually regarded as the most important. The recycled aggregate concrete …