Prediction and optimization model of sustainable concrete properties using machine learning, deep learning and swarm intelligence: A review

S Wang, P Xia, K Chen, F Gong, H Wang… - Journal of Building …, 2023 - Elsevier
Among the many sustainability challenges in the construction industry, those related to the
application of concrete and its components are the most critical. Particularly, the production …

[HTML][HTML] Application of percentile color intensities of borehole images for automatic fluorite grade assessment

E Li, P Segarra, JA Sanchidrián, S Gómez… - Ore Geology …, 2023 - Elsevier
This paper describes a practical application of support vector machine (SVM) for ore grading
in an underground fluorite mine. It covers all aspects from the inception of the experiments …

Towards sustainable construction: Machine learning based predictive models for strength and durability characteristics of blended cement concrete

M Khan, MF Javed - Materials Today Communications, 2023 - Elsevier
Supplementary cementitious materials (SCMs) are widely utilized in concrete mixtures,
either substituting a part of the cement content or replacing a portion of clinker in cement …

Machine learning for predicting concrete carbonation depth: A comparative analysis and a novel feature selection

M Ehsani, M Ostovari, S Mansouri, H Naseri… - … and Building Materials, 2024 - Elsevier
The accurate prediction of concrete carbonation depth is essential to prevent concrete from
cracking and corrosion. However, identifying the critical parameters affecting carbonation …

Machine learning techniques for prediction of failure loads and fracture characteristics of high and ultra-high strength concrete beams

R Kumar, B Rai, P Samui - Innovative Infrastructure Solutions, 2023 - Springer
The construction sector benefits from the development of artificial intelligence (AI) systems
because they can more accurately forecast the mechanical properties of concrete, which …

Machine learning models development for shear strength prediction of reinforced concrete beam: a comparative study

ZM Yaseen - Scientific Reports, 2023 - nature.com
Fiber reinforced polymer (FPR) bars have been widely used as a substitutional material of
steel reinforcement in reinforced concrete elements in corrosion areas. Shear resistance of …

[HTML][HTML] Comparative prediction performance of the strength of a new type of Ti tailings cemented backfilling body using PSO-RF, SSA-RF, and WOA-RF models

W Liu, Z Liu, S Xiong, M Wang - Case Studies in Construction Materials, 2024 - Elsevier
The uniaxial compressive strength (UCS) of the backfilling body plays a crucial role in
backfilling safety. To study the feasibility of preparing new cementitious materials by Ti …

[HTML][HTML] Predicting the properties of concrete incorporating graphene nano platelets by experimental and machine learning approaches

R Alyousef, M Fawad, F Farooq, Y Gamil… - Case Studies in …, 2024 - Elsevier
Modern infrastructure requirements necessitate structural components with improved
durability and strength properties. The incorporation of nanomaterials (NMs) into concrete …

Assessment of the split tensile strength of fiber reinforced recycled aggregate concrete using interpretable approaches with graphical user interface

H Alabduljabbar, F Farooq, M Alyami… - Materials Today …, 2024 - Elsevier
Incorporating recycled concrete aggregates into concrete represents a sustainable
approach to mitigate the extraction of natural mineral resources and alleviate the adverse …

Hybrid ensemble model for predicting the strength of FRP laminates bonded to the concrete

AA Alabdullh, R Biswas, J Gudainiyan, K Khan… - Polymers, 2022 - mdpi.com
The goal of this work was to use a hybrid ensemble machine learning approach to estimate
the interfacial bond strength (IFB) of fibre-reinforced polymer laminates (FRPL) bonded to …