[HTML][HTML] Mechanical behaviour of E-waste aggregate concrete using a novel machine learning algorithm: Multi expression programming (MEP)

S Shah, M Houda, S Khan, F Althoey… - Journal of Materials …, 2023 - Elsevier
Technological advancement encourages the usage of electronic appliances in daily life and
makes it possible for users to switch to more advanced devices very easily and at a …

[HTML][HTML] Performance and optimisation study of waste plastic aggregate based sustainable concrete–A machine learning approach

A Shiuly, T Hazra, D Sau, D Maji - Cleaner Waste Systems, 2022 - Elsevier
abstract The use of waste plastic made aggregates in cement concrete not only can solve
the problem of the disposal of waste plastics in a sustainable way but also it reduces the …

Performance evaluation of soft computing for modeling the strength properties of waste substitute green concrete

MI Shah, MN Amin, K Khan, MSK Niazi, F Aslam… - Sustainability, 2021 - mdpi.com
The waste disposal crisis and development of various types of concrete simulated by the
construction industry has encouraged further research to safely utilize the wastes and …

Performance evaluation of concrete made with plastic waste using multi-expression programming

U Asif, MF Javed, M Alyami, AWA Hammad - Materials Today …, 2024 - Elsevier
The immense production of plastic waste due to its non-biodegradable nature has become a
major issue for the world. Several researchers have recently tried to incorporate plastic …

Artificial intelligence to investigate modulus of elasticity of recycled aggregate concrete

S Sadati, DC Wunsch II, KH Khayat - ACI Materials Journal, 2019 - search.proquest.com
Modulus of elasticity (MOE) is one of the main factors that affect the deformation
characteristics and serviceability of concrete in the hardened state. The use of recycled …

Machine Learning‐Based Modeling with Optimization Algorithm for Predicting Mechanical Properties of Sustainable Concrete

MI Shah, SA Memon, MS Khan Niazi… - Advances in Civil …, 2021 - Wiley Online Library
In this research, multiexpression programming (MEP) has been employed to model the
compressive strength, splitting tensile strength, and flexural strength of waste sugarcane …

[HTML][HTML] Modeling the mechanical properties of recycled aggregate concrete using hybrid machine learning algorithms

Y Peng, C Unluer - Resources, Conservation and Recycling, 2023 - Elsevier
To explore the complicated functional relationship between key parameters such as the
recycled aggregate properties, mix proportion and compressive strength of recycled …

Modeling compressive strength of EPS lightweight concrete using regression, neural network and ANFIS

A Sadrmomtazi, J Sobhani, MA Mirgozar - Construction and Building …, 2013 - Elsevier
EPS concrete is an especial type of lightweight concrete made by partial replacement of
concrete's stone aggregates with lightweight expanded polystyrene beads (EPSs). This type …

Sustainable utilization of foundry waste: Forecasting mechanical properties of foundry sand based concrete using multi-expression programming

MF Iqbal, MF Javed, M Rauf, I Azim, M Ashraf… - Science of the Total …, 2021 - Elsevier
Waste Foundry sand (WFS), a major solid waste from metal casting industry, is posing a
significant environmental threat owing to its disposal to landfills. In this research, an …

Compressive strength prediction of high-strength oil palm shell lightweight aggregate concrete using machine learning methods

S Ghanbari, AA Shahmansouri… - … Science and Pollution …, 2023 - Springer
Promoting the use of agricultural wastes/byproducts in concrete production can significantly
reduce environmental effects and contribute to sustainable development. Several …