A neural network-based multivariate seismic classifier for simultaneous post-earthquake fragility estimation and damage classification
A scalar intensity measure (IM) could be insufficient to represent the earthquake intensity
and variety in fragility estimation. Introducing multiple IMs to conventional regression of …
and variety in fragility estimation. Introducing multiple IMs to conventional regression of …
Structural damage prediction of a reinforced concrete frame under single and multiple seismic events using machine learning algorithms
Advanced machine learning algorithms have the potential to be successfully applied to
many areas of system modelling. In the present study, the capability of ten machine learning …
many areas of system modelling. In the present study, the capability of ten machine learning …
Post-earthquake regional structural damage evaluation based on artificial neural networks considering variant structural properties
The application of artificial neural networks (ANN) to regional seismic damage evaluation is
still challenging due to variant structural properties and high computing requirements. This …
still challenging due to variant structural properties and high computing requirements. This …
Faster post-earthquake damage assessment based on 1D convolutional neural networks
Contemporary deep learning approaches for post-earthquake damage assessments based
on 2D convolutional neural networks (CNNs) require encoding of ground motion records to …
on 2D convolutional neural networks (CNNs) require encoding of ground motion records to …
Training data selection for machine learning-enhanced monte carlo simulations in structural dynamics
The evaluation of structural response constitutes a fundamental task in the design of ground-
excited structures. In this context, the Monte Carlo simulation is a powerful tool to estimate …
excited structures. In this context, the Monte Carlo simulation is a powerful tool to estimate …
Structural height, amplification and damages during the superficial earthquakes at Casamicciola, Ischia Island (2017), and Santa Venerina, Catania (2018), Italy
M Gatti - Geomatics, Natural Hazards and Risk, 2023 - Taylor & Francis
A rapid method to assess the potential seismic risk of a building due to its height or,
equivalently, to the number of stories above ground is described. It was applied, despite …
equivalently, to the number of stories above ground is described. It was applied, despite …
Machine learning-based seismic damage assessment of residential buildings considering multiple earthquake and structure uncertainties
Wood-frame structures are used in almost 90% of residential buildings in the United States.
It is thus imperative to rapidly and accurately assess the damage of wood-frame structures in …
It is thus imperative to rapidly and accurately assess the damage of wood-frame structures in …
Structural damage prediction under seismic sequence using neural networks
Advanced machine learning algorithms, such as neural networks, have the potential to be
successfully applied to many areas of system modelling. Several studies have been already …
successfully applied to many areas of system modelling. Several studies have been already …
Investigation of the ANNs' potential for reliable assessment of r/c frame's seismic damage using different performance evaluation metrics
A Ntovas, K Kostinakis - Technical Annals, 2024 - ejournals.epublishing.ekt.gr
The development of a reliable method for the rapid assessment of the expected level of
seismic damage of buildings constructed in countries with high seismicity areas is one of the …
seismic damage of buildings constructed in countries with high seismicity areas is one of the …
[图书][B] Deep learning-based surrogate models for post-earthquake damage assessment
X Yuan - 2021 - search.proquest.com
Seismic damage assessment is a critical step to enhance community resilience in the wake
of an earthquake. This study aims to develop deep learning-based surrogate models for …
of an earthquake. This study aims to develop deep learning-based surrogate models for …