Seismic risk assessment is necessary for designing effective seismic risk mitigation measures. In general, such risk assessment studies consist of three components: hazard, vulnerability, and exposure modelling. Review of seismic hazard models is done together with a building classification and building taxonomies. Building damage patterns reported in past earthquakes were reviewed as a basis for damage classification. Also the work on the vulnerability model and fragility functions is done. For this purpose different approaches are used: numerical models and analysis, rapid assessment methods and machine learning algorithms.
Seismic risk, vulnerability and damage assessment
Seismic risk, vulnerability and damage assessment
Publications
Seismic Risk Assessment in School Buildings: A Comparative Study of Two Assessment Methods.
Buildings.
DOI
GraFar
URL
(2024).
Research in computing-intensive simulations for nature-oriented civil-engineering and related scientific fields, using machine learning and big data: an overview of open problems.
Journal of Big Data.
DOI
GraFar
URL
(2023).
Teaching computing for complex problems in civil engineering and geosciences using big data and machine learning: synergizing four different computing paradigms and four different management domains.
Journal of Big Data.
DOI
GraFar
URL
(2023).
Residential building stock in Serbia: classification and vulnerability for seismic risk studies.
Bulleting of Earthquake Engineering.
PDF
DOI
GraFar
(2023).
(2023).