APPLICATION OF THE PARAMETRIC PUSHOVER CURVE MODEL FOR SEISMIC LOSS ESTIMATION OF A BUILDING STOCK

An effective seismic risk assessment of building stock is crucial for informing stakeholders about potential issues and enhancing community resilience. Recently, a parametric pushover curve model was introduced, enabling the estimation of building-specific pushover curves and fragility functions even with a low level of knowledge about the building. The model estimates a trilinear pushover curve using twelve parameters assessed for reinforced concrete and masonry buildings in Slovenia, considering limited knowledge about the structures, and can also be used to simulate the pushover curves of equivalent new building stock. This paper provides an overview of the parametric pushover curve model and its application to the preliminary seismic stress test of the University of Ljubljana building stock. The findings indicate that the seismic capacity of the existing stock, in terms of limit state peak ground acceleration, is only half of what is expected for new buildings, highlighting significant seismic risk and the urgent need for systematic improvements in seismic safety. Based on the preliminary seismic stress test results, the University of Ljubljana decided to conduct a second-level seismic stress test, which requires more detailed building data. This ongoing project aims to provide a comprehensive understanding of the university’s seismic resilience and serve as a foundation for developing a strategic plan to enhance seismic safety. Keywords: Parametric pushover curve model · Building stock · Seismic performance assessment · Reinforced concrete buildings · Masonry building · Loss estimation

Authors

Publication Details

Published
2025-03-19
DOI
https://doi.org/10.5592/co/3crocee.2025.164
Primary Topic
Structural Analysis of Composite Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

APPLICATION OF THE PARAMETRIC PUSHOVER CURVE MODEL FOR SEISMIC LOSS ESTIMATION OF A BUILDING STOCK

Anže Babič, Matjaž Dolšek, Neja Fazarinc
Structural Analysis of Composite Materials
article

APPLICATION OF THE PARAMETRIC PUSHOVER CURVE MODEL FOR SEISMIC LOSS ESTIMATION OF A BUILDING STOCK

Anže Babič, Matjaž Dolšek, Neja Fazarinc
article en

Abstract

An effective seismic risk assessment of building stock is crucial for informing stakeholders about potential issues and enhancing community resilience. Recently, a parametric pushover curve model was introduced, enabling the estimation of building-specific pushover curves and fragility functions even with a low level of knowledge about the building. The model estimates a trilinear pushover curve using twelve parameters assessed for reinforced concrete and masonry buildings in Slovenia, considering limited knowledge about the structures, and can also be used to simulate the pushover curves of equivalent new building stock. This paper provides an overview of the parametric pushover curve model and its application to the preliminary seismic stress test of the University of Ljubljana building stock. The findings indicate that the seismic capacity of the existing stock, in terms of limit state peak ground acceleration, is only half of what is expected for new buildings, highlighting significant seismic risk and the urgent need for systematic improvements in seismic safety. Based on the preliminary seismic stress test results, the University of Ljubljana decided to conduct a second-level seismic stress test, which requires more detailed building data. This ongoing project aims to provide a comprehensive understanding of the university’s seismic resilience and serve as a foundation for developing a strategic plan to enhance seismic safety. Keywords: Parametric pushover curve model · Building stock · Seismic performance assessment · Reinforced concrete buildings · Masonry building · Loss estimation

Vol. 3
Openalex Percentile: Top 92%
Structural Analysis of Composite Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.