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Data-driven modeling of mechanical properties of fiber-reinforced concrete: a critical review
Fiber-reinforced concrete (FRC) is extensively used in diverse structural engineering
applications, and its mechanical properties are crucial for designing and evaluating its …
applications, and its mechanical properties are crucial for designing and evaluating its …
Machine-learning methods for estimating performance of structural concrete members reinforced with fiber-reinforced polymers
In recent years, fiber-reinforced polymers (FRP) in reinforced concrete (RC) members have
gained significant attention due to their exceptional properties, including lightweight …
gained significant attention due to their exceptional properties, including lightweight …
Machine learning-based seismic fragility and seismic vulnerability assessment of reinforced concrete structures
Many studies have been performed to put quantifying uncertainties into the seismic risk
assessment of reinforced concrete (RC) buildings. This paper provides a risk-assessment …
assessment of reinforced concrete (RC) buildings. This paper provides a risk-assessment …
Machine-learning methods for estimating compressive strength of high-performance alkali-activated concrete
High-performance alkali-activated concrete (HP-AAC) is acknowledged as a cementless
and environmentally friendly material. It has recently received a substantial amount of …
and environmentally friendly material. It has recently received a substantial amount of …
Machine learning-based seismic response and performance assessment of reinforced concrete buildings
Complexity and unpredictability nature of earthquakes makes them unique external loads
that there is no unique formula used for the prediction of seismic responses. Hence, this …
that there is no unique formula used for the prediction of seismic responses. Hence, this …
[HTML][HTML] Seismic response and performance prediction of steel buckling-restrained braced frames using machine-learning methods
N Asgarkhani, F Kazemi… - … Applications of Artificial …, 2024 - Elsevier
Abstract Nowadays, Buckling-Restrained Brace Frames (BRBFs) have been used as lateral
force-resisting systems for low-, to mid-rise buildings. Residual Interstory Drift (RID) of …
force-resisting systems for low-, to mid-rise buildings. Residual Interstory Drift (RID) of …
Optimization-based stacked machine-learning method for seismic probability and risk assessment of reinforced concrete shear walls
Efficient seismic risk assessment aids decision-makers in formulating citywide risk mitigation
plans, providing insights into building performance and retrofitting costs. The complexity of …
plans, providing insights into building performance and retrofitting costs. The complexity of …
Chained machine learning model for predicting load capacity and ductility of steel fiber–reinforced concrete beams
One of the main issues associated with steel fiber–reinforced concrete (SFRC) beams is the
ability to anticipate their flexural response. With a comprehensive grid search, several …
ability to anticipate their flexural response. With a comprehensive grid search, several …
Machine learning-based prediction of residual drift and seismic risk assessment of steel moment-resisting frames considering soil-structure interaction
Nowadays, due to improvements in seismic codes and computational devices, retrofitting
buildings is an important topic, in which, permanent deformation of buildings, known as …
buildings is an important topic, in which, permanent deformation of buildings, known as …
Prediction of fracture toughness in fibre-reinforced concrete, mortar, and rocks using various machine learning techniques
Abstract Machine Learning (ML) method is widely used in engineering applications such as
fracture mechanics. In this study, twenty different ML algorithms were employed and …
fracture mechanics. In this study, twenty different ML algorithms were employed and …