Pathways and challenges of the application of artificial intelligence to geohazards modelling
The application of artificial intelligence (AI) and machine learning in geohazard modelling
has been rapidly growing in recent years, a trend that is observed in several research and …
has been rapidly growing in recent years, a trend that is observed in several research and …
[HTML][HTML] The seismic vulnerability assessment methodologies: A state-of-the-art review
In the past decades, the research and development of methodologies have received
considerable attention which quantified earthquake-related damages to structures. Among …
considerable attention which quantified earthquake-related damages to structures. Among …
Earthquake risk assessment using an integrated Fuzzy Analytic Hierarchy Process with Artificial Neural Networks based on GIS: A case study of Sanandaj in Iran
Earthquakes are natural phenomena, which induce natural hazard that seriously threatens
urban areas, despite significant advances in retrofitting urban buildings and enhancing the …
urban areas, despite significant advances in retrofitting urban buildings and enhancing the …
[HTML][HTML] State of the art of simplified analytical methods for seismic vulnerability assessment of unreinforced masonry buildings
Cities in the developing world are facing outstanding economic and human losses caused
by natural hazards such as earthquakes, and the amount of losses is affected by the quality …
by natural hazards such as earthquakes, and the amount of losses is affected by the quality …
Empirical fragility curves for Italian URM buildings
This paper illustrates the derivation of an empirical fragility model for residential
unreinforced masonry (URM) buildings, calibrated on Italian post-earthquake damage data …
unreinforced masonry (URM) buildings, calibrated on Italian post-earthquake damage data …
Integrated ANN-cross-validation and AHP-TOPSIS model to improve earthquake risk assessment
R Jena, B Pradhan - International Journal of Disaster Risk Reduction, 2020 - Elsevier
The current study presents a novel combination of artificial neural network cross-validation
(fourfold ANN-CV) with a hybrid analytic hierarchy process-Technique for Order of …
(fourfold ANN-CV) with a hybrid analytic hierarchy process-Technique for Order of …
Seismic risk assessment for mainland Portugal
The assessment of the seismic risk at a national scale represents an important resource in
order to introduce measures that may reduce potential losses due to future earthquakes …
order to introduce measures that may reduce potential losses due to future earthquakes …
A hybrid analytic network process and artificial neural network (ANP-ANN) model for urban earthquake vulnerability assessment
Vulnerability assessment is one of the prerequisites for risk analysis in disaster
management. Vulnerability to earthquakes, especially in urban areas, has increased over …
management. Vulnerability to earthquakes, especially in urban areas, has increased over …
Seismic response of masonry buildings in historical centres struck by the 2016 Central Italy earthquake. Calibration of a vulnerability model for strengthened …
Y Saretta, L Sbrogio, MR Valluzzi - Construction and Building Materials, 2021 - Elsevier
Brought to light by the 1997 Umbria-Marche (Italy) earthquake for the first time, the theme of
damage patterns of masonry buildings with structural interventions became urgent again in …
damage patterns of masonry buildings with structural interventions became urgent again in …
Stochastic vulnerability assessment of masonry structures: concepts, modeling and restoration aspects
PG Asteris, A Moropoulou, AD Skentou… - Applied Sciences, 2019 - mdpi.com
A methodology aiming to predict the vulnerability of masonry structures under seismic action
is presented herein. Masonry structures, among which many are cultural heritage assets …
is presented herein. Masonry structures, among which many are cultural heritage assets …