Machine learning applied to the design and inspection of reinforced concrete bridges: Resilient methods and emerging applications
W Fan, Y Chen, J Li, Y Sun, J Feng, H Hassanin… - Structures, 2021 - Elsevier
Abstract Machine learning is one of the key pillars of industry 4.0 that has enabled rapid
technological advancement through establishing complex connections among …
technological advancement through establishing complex connections among …
Shear strength prediction of reinforced concrete beams using machine learning
Recent years have witnessed a surge in the application of machine learning techniques for
solving hard to solve structural engineering problems. The application of machine learning …
solving hard to solve structural engineering problems. The application of machine learning …
[HTML][HTML] Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM
This paper presents a data-driven approach to determine the load and flexural capacities of
reinforced concrete (RC) beams strengthened with fabric reinforced cementitious matrix …
reinforced concrete (RC) beams strengthened with fabric reinforced cementitious matrix …
Prediction of the FRP reinforced concrete beam shear capacity by using ELM-CRFOA
RMA Ikram, HL Dai, M Al-Bahrani, M Mamlooki - Measurement, 2022 - Elsevier
In reinforced concrete structures, the utilization of composite rebar has been increased by
considering their high corrosion resistance, anti-magnetic properties, and significant tensile …
considering their high corrosion resistance, anti-magnetic properties, and significant tensile …
Shear capacity prediction of FRP-RC beams using single and ensenble ExPlainable Machine learning models
Corrosion in steel reinforcement is a central issue behind the severe deterioration of existing
reinforced concrete (RC) structures. Nowadays, fiber-reinforced polymer (FRP) is …
reinforced concrete (RC) structures. Nowadays, fiber-reinforced polymer (FRP) is …
A machine learning-based time-dependent shear strength model for corroded reinforced concrete beams
B Fu, DC Feng - Journal of Building Engineering, 2021 - Elsevier
Shear strength of corroded reinforced concrete (CRC) beams is a key concern in the design
and/or retrofit processes for an RC structure during its life-cycle. In this paper, we develop a …
and/or retrofit processes for an RC structure during its life-cycle. In this paper, we develop a …
[HTML][HTML] FAI: Fast, accurate, and intelligent approach and prediction tool for flexural capacity of FRP-RC beams based on super-learner machine learning model
Fiber-reinforced polymer (FRP) composites have recently been considered in the field of
structural engineering as one of the best alternatives to conventional steel reinforcement …
structural engineering as one of the best alternatives to conventional steel reinforcement …
[HTML][HTML] Probabilistic estimation of flexural loading capacity of existing RC structures based on observational corrosion-induced crack width distribution using machine …
Corrosion-induced crack width can provide effective information on the deterioration level of
in situ corroded reinforced concrete (RC) structures. However, the uncertainty associated …
in situ corroded reinforced concrete (RC) structures. However, the uncertainty associated …
Data-driven model for ternary-blend concrete compressive strength prediction using machine learning approach
Ternary-blend concrete is a complex composite material, and the nonlinearity in its
compressive strength behavior is unquestionable. Entirely many models have been …
compressive strength behavior is unquestionable. Entirely many models have been …
[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 …