Predictive models for concrete properties using machine learning and deep learning approaches: A review
Concrete is one of the most widely used materials in various civil engineering applications.
Its global production rate is increasing to meet demand. Mechanical properties of concrete …
Its global production rate is increasing to meet demand. Mechanical properties of concrete …
Machine learning prediction of mechanical properties of concrete: Critical review
Accurate prediction of the mechanical properties of concrete has been a concern since
these properties are often required by design codes. The emergence of new concrete …
these properties are often required by design codes. The emergence of new concrete …
[HTML][HTML] Punching shear strength and deformation for FRP-reinforced concrete slabs without shear reinforcements
A Deifalla - Case Studies in Construction Materials, 2022 - Elsevier
While very little is known about the punching shear behavior of Fiber Reinforced Polymer
(FRP)-reinforced concrete slabs; thus, very few design codes for this case are available …
(FRP)-reinforced concrete slabs; thus, very few design codes for this case are available …
Assessment of punching shear strength of FRP-RC slab-column connections using machine learning algorithms
Recently, the use of fiber-reinforced polymer (FRP) bars replacing steel reinforcement has
been widely applied to overcome the corrosion issue, particularly concrete slab-column …
been widely applied to overcome the corrosion issue, particularly concrete slab-column …
[HTML][HTML] Punching shear behavior of FRP reinforced concrete slabs under different opening configurations and loading conditions
This study investigates the punching shear behavior of reinforced concrete (RC) flat slabs
using theoretical and non-linear finite element analysis techniques (NLFEA). The internal …
using theoretical and non-linear finite element analysis techniques (NLFEA). The internal …
Evaluation of the strength of slab-column connections with FRPs using machine learning algorithms
Slab-column connections with FRPs fail suddenly without warning. Machine learning (ML)
models can model the behavior with high precision and reliability. Nineteen ML algorithms …
models can model the behavior with high precision and reliability. Nineteen ML algorithms …
[BOOK][B] The international handbook of FRP composites in civil engineering
M Zoghi - 2013 - books.google.com
Fiber-reinforced polymer (FRP) composites have become an integral part of the construction
industry because of their versatility, enhanced durability and resistance to fatigue and …
industry because of their versatility, enhanced durability and resistance to fatigue and …
Interpretable machine learning models for punching shear strength estimation of FRP reinforced concrete slabs
Y Shen, J Sun, S Liang - Crystals, 2022 - mdpi.com
Fiber reinforced polymer (FRP) serves as a prospective alternative to reinforcement in
concrete slabs. However, similarly to traditional reinforced concrete slabs, FRP reinforced …
concrete slabs. However, similarly to traditional reinforced concrete slabs, FRP reinforced …
Fiber-reinforced polymer (FRP) in concrete: A comprehensive survey
This work focuses on how different aspects of design, testing, and field implementation of
fiber-reinforced polymer (FRP) in concrete have gained attention from the scientific research …
fiber-reinforced polymer (FRP) in concrete have gained attention from the scientific research …
Punching shear capacity estimation of FRP-reinforced concrete slabs using a hybrid machine learning approach
Fibre-reinforced polymer (FRP) provides an alternative reinforcement for concrete flat slabs.
This research proposes a hybrid machine learning model for predicting the ultimate …
This research proposes a hybrid machine learning model for predicting the ultimate …