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[HTML][HTML] Using machine learning to predict the long-term performance of fibre-reinforced polymer structures: A state-of-the-art review
When exposed to environmental conditions, fibre-reinforced polymer (FRP) composites are
prone to material degradation. The environmental reduction factor in different structural …
prone to material degradation. The environmental reduction factor in different structural …
[HTML][HTML] Tree-based machine learning approach to modelling tensile strength retention of Fibre Reinforced Polymer composites exposed to elevated temperatures
Abstract Fibre Reinforced Polymer (FRP) composites are susceptible to degradation at
elevated temperatures. Accurate modelling of the tensile performance of FRP composites …
elevated temperatures. Accurate modelling of the tensile performance of FRP composites …
Performance prognosis of FRCM-to-concrete bond strength using ANFIS-based fuzzy algorithm
Nowadays, strengthening of reinforced concrete structures with a new class of sustainable
materials is the possible solution to retrofit the aged deteriorated structures. It is difficult to …
materials is the possible solution to retrofit the aged deteriorated structures. It is difficult to …
Development of ANN-based metaheuristic models for the study of the durability characteristics of high-volume fly ash self-compacting concrete with silica fume
The construction of durable and sustainable infrastructure requires the use of industrial
byproducts such as fly ash (FA) and silica fume (SF) to enhance strength and durability. This …
byproducts such as fly ash (FA) and silica fume (SF) to enhance strength and durability. This …
Using machine learning and experimental study to correlate and predict accelerated aging with natural aging of GFRP composites in hygrothermal conditions
J Wang, S Karimi, P Zeinalzad, J Zhang… - Construction and Building …, 2024 - Elsevier
Composite materials are widely used in various applications, but their mechanical and
physical properties can be significantly influenced by environmental factors such as …
physical properties can be significantly influenced by environmental factors such as …
[HTML][HTML] A neural network based digital twin model for the structural health monitoring of reinforced concrete bridges
T Hielscher, S Khalil, N Virgona, SA Hadigheh - Structures, 2023 - Elsevier
Abstract Developments in Structural Health Monitoring (SHM) research over the past few
decades have demonstrated potential in optimising maintenance solutions for degrading …
decades have demonstrated potential in optimising maintenance solutions for degrading …
Evaluating the rapid chloride permeability of self-compacting concrete containing fly ash and silica fume exposed to different temperatures: An artificial intelligence …
R Kazemi, A Gholampour - Construction and Building Materials, 2023 - Elsevier
One of the major known challenges of improving durability of concrete structures is reducing
the permeability of concrete to retard the transport of chloride ions. In this regard, the …
the permeability of concrete to retard the transport of chloride ions. In this regard, the …
[HTML][HTML] Enhancing carbon fibre recovery through optimised thermal recycling: Kinetic analysis and operational parameter investigation
Y Wei, SA Hadigheh - Materials Today Sustainability, 2024 - Elsevier
Thermal recycling is an attractive method for recovering carbon fibre from carbon fibre-
reinforced polymer (CFRP) composite waste. The main drawbacks of the thermal recycling …
reinforced polymer (CFRP) composite waste. The main drawbacks of the thermal recycling …
[HTML][HTML] Prediction of FRCM–concrete bond strength with machine learning approach
Fibre-reinforced cement mortar (FRCM) has been widely utilised for the repair and
restoration of building structures. The bond strength between FRCM and concrete typically …
restoration of building structures. The bond strength between FRCM and concrete typically …
[HTML][HTML] Artificial neural network prediction of transverse modulus in humid conditions for randomly distributed unidirectional fibre reinforced composites: a …
This paper proposes an innovative micromechanics-based artificial neural network (ANN)
method to efficiently investigate the transverse modulus of unidirectional fibre/epoxy …
method to efficiently investigate the transverse modulus of unidirectional fibre/epoxy …