Prediction of concrete and FRC properties at high temperature using machine and deep learning: a review of recent advances and future perspectives
Concrete structures when exposed to elevated temperature significantly decline their
original properties. High temperatures substantially affect the concrete physical and …
original properties. High temperatures substantially affect the concrete physical and …
A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength
DJ Armaghani, PG Asteris - Neural Computing and Applications, 2021 - Springer
Despite the extensive use of mortars materials in constructions over the last decades, there
is not yet a reliable and robust method, available in the literature, which can estimate its …
is not yet a reliable and robust method, available in the literature, which can estimate its …
Thermal energy storage in concrete: Review, testing, and simulation of thermal properties at relevant ranges of elevated temperature
This study examines the thermal performance of concrete used for thermal energy storage
(TES) applications. The influence of concrete constituents (aggregates, cementitious …
(TES) applications. The influence of concrete constituents (aggregates, cementitious …
Application of artificial neural networks for the prediction of the compressive strength of cement-based mortars
Despite the extensive use of mortar materials in constructions over the last decades, there is
not yet a robust quantitative method, available in the literature, which can reliably predict …
not yet a robust quantitative method, available in the literature, which can reliably predict …
Feed-forward neural network prediction of the mechanical properties of sandcrete materials
This work presents a soft-sensor approach for estimating critical mechanical properties of
sandcrete materials. Feed-forward (FF) artificial neural network (ANN) models are employed …
sandcrete materials. Feed-forward (FF) artificial neural network (ANN) models are employed …
Masonry compressive strength prediction using artificial neural networks
PG Asteris, I Argyropoulos, L Cavaleri… - … and Cooperation for the …, 2019 - Springer
The masonry is not only included among the oldest building materials, but it is also the most
widely used material due to its simple construction and low cost compared to the other …
widely used material due to its simple construction and low cost compared to the other …
Residual compressive strength of concrete after exposure to high temperatures: A review and probabilistic models
The mechanical properties of concrete degrade after exposure to high temperatures during
a fire event. Proper assessment of damage, determination of the remaining capacity of the …
a fire event. Proper assessment of damage, determination of the remaining capacity of the …
Surrogate models for the compressive strength mapping of cement mortar materials
Despite the extensive use of mortar materials in constructions over the last decades, there is
not yet a robust quantitative method available in the literature, which can reliably predict …
not yet a robust quantitative method available in the literature, which can reliably predict …
ANN models for prediction of residual strength of HSC after exposure to elevated temperature
Although high strength concrete (HSC) is becoming popular in building construction around
the globe, its performance under high temperature (or fire) exposure is not precisely known …
the globe, its performance under high temperature (or fire) exposure is not precisely known …
Residual Compressive Strength of High‐Strength Concrete Exposed to Elevated Temperatures
HM Elsanadedy - Advances in Materials Science and …, 2019 - Wiley Online Library
High‐strength concrete (HSC) has several well‐known technical, aesthetic, and economic
advantages over normal‐strength concrete (NSC), which explains the increasing popularity …
advantages over normal‐strength concrete (NSC), which explains the increasing popularity …