Machine learning-based seismic response and performance assessment of reinforced concrete buildings
F Kazemi, N Asgarkhani, R Jankowski - Archives of Civil and Mechanical …, 2023 - Springer
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 …
Machine learning-based prediction of residual drift and seismic risk assessment of steel moment-resisting frames considering soil-structure interaction
N Asgarkhani, F Kazemi, R Jankowski - Computers & Structures, 2023 - Elsevier
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 …
Machine learning-based RC beam-column model parameter estimation and uncertainty quantification for seismic fragility assessment
The simplicity and computational efficiency of lumped plasticity beam-column element
models have been widely utilized for nonlinear response estimation of reinforced concrete …
models have been widely utilized for nonlinear response estimation of reinforced concrete …
[HTML][HTML] Improving numerical methods for the steel yield strain calculation in reinforced concrete members with Machine Learning algorithms
In the context of reinforced concrete members subjected to shear, the steel behaviour,
assumed as embedded in the concrete, has been modelled through different strategies. One …
assumed as embedded in the concrete, has been modelled through different strategies. One …
Development and application of out-of-plane deformable X-shaped brace for energy dissipation and thermal stress mitigation: An experimental and numerical study
Exoskeleton systems are increasingly employed in both new and existing buildings to
enhance seismic performance. Addressing the critical challenges of energy dissipation and …
enhance seismic performance. Addressing the critical challenges of energy dissipation and …
Deep HystereticNet to predict hysteretic performance of RC columns against cyclic loading
This article attempts to reproduce hysteretic performance of HRB600 bar reinforced concrete
columns under cyclic loading by adopting multivariate deep learning methods. Bidirectional …
columns under cyclic loading by adopting multivariate deep learning methods. Bidirectional …
Applying Machine Learning to Earthquake Engineering: A Scientometric Analysis of World Research
Y Hu, W Wang, L Li, F Wang - Buildings, 2024 - mdpi.com
Machine Learning (ML) has developed rapidly in recent years, achieving exciting
advancements in applications such as data mining, computer vision, natural language …
advancements in applications such as data mining, computer vision, natural language …
Seismic intensity measure selection incorporating interaction effects for damage assessment across different structural sensitive regions
The selection of seismic intensity measures (IMs) has been important step within the
performance-based earthquake engineering. Previous studies, primarily focusing on binary …
performance-based earthquake engineering. Previous studies, primarily focusing on binary …
Machine-Learning-Based uncertainty and sensitivity analysis of Reinforced-Concrete slabs subjected to fire
D Zhang, X Lin, Y Dong, X Yu - Structures, 2023 - Elsevier
Reinforced concrete (RC) slabs are integral parts of building structures and provide
compartmentation functionality when subjected to fire. However, the fire resistance of RC …
compartmentation functionality when subjected to fire. However, the fire resistance of RC …
Hysteresis elongation behavior of RC beams failing in different modes: Experimental investigation and numerical modelling using smeared crack approach
The formation of plastic hinges in reinforced concrete (RC) beams under cyclic loading is
accompanied by notable hysteresis elongation. To explore this behavior, quasi-static tests …
accompanied by notable hysteresis elongation. To explore this behavior, quasi-static tests …