Artificial intelligence to model the performance of concrete mixtures and elements: a review

A Behnood, EM Golafshani - Archives of Computational Methods in …, 2022 - Springer
Concrete is the most widely used man-made material in the construction of structures,
pavements, bridges, dams, and infrastructures. Depending on the type of components and …

Towards sustainable development through the perspective of construction 4.0: Systematic literature review and bibliometric analysis

K Wang, F Guo - Buildings, 2022 - mdpi.com
The construction industry utilizes a substantial number of resources, which has negative
impacts on both environmental and socioeconomic aspects. Therefore, it is important to …

[HTML][HTML] Estimating compressive strength of lightweight foamed concrete using neural, genetic and ensemble machine learning approaches

BA Salami, M Iqbal, A Abdulraheem, FE Jalal… - Cement and Concrete …, 2022 - Elsevier
Foamed concrete is special not only in terms of its unique properties, but also in terms of its
challenging compositional mixture design, which necessitates multiple experimental trials …

Predictive modelling of sustainable lightweight foamed concrete using machine learning novel approach

HS Ullah, RA Khushnood, J Ahmad, F Farooq - Journal of Building …, 2022 - Elsevier
Foamed concrete is a versatile material that can be used in different construction
applications and with proper mix designing, it can also be used as a structural member. The …

An ensemble machine learning model for enhancing the prediction accuracy of energy consumption in buildings

NT Ngo, AD Pham, TTH Truong, NS Truong… - Arabian Journal for …, 2022 - Springer
Predicting building energy use is necessary for energy planning, management, and
conservation. It is difficult to achieve accurate prediction results due to the inherent …

Intelligent design of construction materials: A comparative study of AI approaches for predicting the strength of concrete with blast furnace slag

X Wu, F Zhu, M Zhou, MMS Sabri, J Huang - Materials, 2022 - mdpi.com
Concrete production by replacing cement with green materials has been conducted in
recent years considering the strategy of sustainable development. This study researched the …

Applying hybrid machine learning algorithms to assess customer risk-adjusted revenue in the financial industry

MR Machado, S Karray - Electronic Commerce Research and Applications, 2022 - Elsevier
Abstract A Peer-to-Peer (P2P) service is a decentralized platform that directly connects
individuals, buyers (lenders) and sellers (investors) without the intermediation of a third …

[HTML][HTML] Prediction of compressive strength in plain and blended cement concretes using a hybrid artificial intelligence model

HA Al-Jamimi, WA Al-Kutti, S Alwahaishi… - Case Studies in …, 2022 - Elsevier
Concrete is a complex engineering material with different ingredients and design variables.
Therefore, an accurate prediction of concrete compressive strength (CCS) should consider …

[PDF][PDF] Optimized ANNs for predicting compressive strength of high-performance concrete

H Moayedi, A Eghtesad, M Khajehzadeh… - Steel Compos …, 2022 - researchgate.net
Predicting the compressive strength of concrete (CSoC) is of high significance in civil
engineering. The CSoC is a highly dependent and non-linear parameter that requires …

Artificial intelligence models for predicting mechanical properties of recycled aggregate concrete (RAC): critical review

AHA Ahmed, W Jin, MAH Ali - Journal of Advanced Concrete …, 2022 - jstage.jst.go.jp
Recycled aggregate concrete (RAC) has attracted more interesting in the past several years
because it is an economical and eco-friendly building material. But generally, the …