Seismic Vulnerability Assessment Using Field Survey and Remote Sensing Techniques

Paolo Ricci, Gerardo Mario Verderame, Gaetano Manfredi, Maurizio Pollino, Flavio Borfecchia, Luigi De Cecco, Sandro Martini, Carmine Pascale, Elisabetta Ristoratore, Valentina James

Research output: Contribution to conferencePaper

8 Citations (Scopus)

Abstract

In this paper, a seismic vulnerability assessment at large scale is described, within the SIMURAI project. A field survey was carried out in order to gather detailed information about geometric characteristics, structural typology and age of construction of each single building. An airborne Remote Sensing (RS) mission was also carried out over the municipality of Avellino, providing a detailed estimate of 3D geometric parameters of buildings through a quite fast and easy to apply methodology integrating active LIDAR technology, aerophotogrammetry and GIS techniques. An analytical seismic vulnerability assessment procedure for Reinforced Concrete buildings is illustrated and applied to the building stock considering (i) field survey data (assumed as a reference) and (ii) LIDAR data combined with census data as alternative sources of information, according to a multilevel approach. A comparison between the obtained results highlights an acceptable scatter when data provided by RS techniques are used. © 2011 Springer-Verlag.
Original languageEnglish
DOIs
Publication statusPublished - 2011
Event2011 International Conference on Computational Science and Its Applications, ICCSA 2011 - , Spain
Duration: 1 Jan 2011 → …

Conference

Conference2011 International Conference on Computational Science and Its Applications, ICCSA 2011
CountrySpain
Period1/1/11 → …

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Ricci, P., Verderame, G. M., Manfredi, G., Pollino, M., Borfecchia, F., De Cecco, L., ... James, V. (2011). Seismic Vulnerability Assessment Using Field Survey and Remote Sensing Techniques. Paper presented at 2011 International Conference on Computational Science and Its Applications, ICCSA 2011, Spain. https://doi.org/10.1007/978-3-642-21887-3_9