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 …
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
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 …
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
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 …
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
The accurate prediction of concrete carbonation depth is essential to prevent concrete from
cracking and corrosion. However, identifying the critical parameters affecting carbonation …
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
The construction sector benefits from the development of artificial intelligence (AI) systems
because they can more accurately forecast the mechanical properties of concrete, which …
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 …
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 …
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
Modern infrastructure requirements necessitate structural components with improved
durability and strength properties. The incorporation of nanomaterials (NMs) into concrete …
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
Incorporating recycled concrete aggregates into concrete represents a sustainable
approach to mitigate the extraction of natural mineral resources and alleviate the adverse …
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
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 …
the interfacial bond strength (IFB) of fibre-reinforced polymer laminates (FRPL) bonded to …