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Near-real-time damage estimation for buildings based on strong-motion recordings: An application to target areas in northeastern italy

Scaini C.
•
Petrovic B.
•
Tamaro A.
altro
Parolai S.
2021
  • journal article

Periodico
SEISMOLOGICAL RESEARCH LETTERS
Abstract
The rapid estimation of expected impacts in case of an earthquake is extremely important for emergency managers and first responders. Current near-real-time damage assessment methods rely on ground-motion estimates and exposure or fragility datasets, in some cases integrating the shaking recorded at the site (e.g., from strong-motion monitoring networks). We propose a method that estimates the expected damages on buildings based on strong-motion recordings of a seismic event. The damage assessment is based on themaximumdrift (interstory) or the displacement, which is estimated by considering in a first approximation the behavior of a specific building typology as a single-degree-offreedom oscillator. The oscillator is characterized based on the analysis of the building stock and a large number of ambient vibration measurements performed in buildings. A specific damage state occurs when the interstory drift or displacement limits available in the literature for the specific building typology are exceeded. The method, here applied to a case study in northeastern Italy, can be applied to other seismic areas worldwide to provide quick, first-level estimates of expected damages
DOI
10.1785/0220200430
WOS
WOS:000714716000001
Archivio
https://hdl.handle.net/11368/3056638
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85111333795
https://pubs.geoscienceworld.org/ssa/srl/article/92/6/3785/605745/Near-Real-Time-Damage-Estimation-for-Buildings
Diritti
open access
license:copyright editore
license:copyright editore
license:digital rights management non definito
license uri:iris.pri02
license uri:iris.pri02
license uri:iris.pri00
FVG url
https://arts.units.it/request-item?handle=11368/3056638
Soggetti
  • Near-real-time Damage...

  • stron motion

  • Northeastern Italy

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