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Proceedings Paper

Assessment of seismic loading on structures based on airborne LiDAR data from the Kalochori urban area (N. Greece)
Author(s): Emmanouil Rovithis; Emmanouil Kirtas; Eleftheria Marini; Dimitris Bliziotis; Evangelos Maltezos; Dimitris Pitilakis; Konstantia Makra; Alexandros Savvaidis
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Paper Abstract

Airborne LiDAR monitoring integrated with field data is employed to assess the fundamental period and the seismic loading of structures composing an urban area under prescribed earthquake scenarios. Α piecewise work-flow is adopted by combining geometrical data of the building stock derived from a LiDAR-based 3D city model, structural data from in-situ inspections on representative city blocks and results of soil response analyses. The procedure is implemented in the residential area of Kalochori, (west of Thessaloniki in Northern Greece). Special attention is paid to the in-situ inspection of the building stock in order to discriminate recordings between actual buildings and man-made constructions that do not conform to seismic design codes and to acquire additional building stock data on structural materials, typologies and number of stories which is not feasible by the LiDAR process. The processed LiDAR and field data are employed to compute the fundamental period of each building by means of code-defined formulas. Knowledge of soil conditions in the Kalochoti area allows for soil response analyses to obtain free-field at ground surface under earthquake scenarios with varying return period. Upon combining the computed vibrational characteristics of the structures with the free-field response spectra, the seismic loading imposed on the structures of the urban area under investigation is derived for each one of the prescribed seismic motions. Results are presented in GIS environment in the form of spatially distributed spectral accelerations with direct implications in seismic vulnerability studies of an urban area.

Paper Details

Date Published: 12 August 2016
PDF: 10 pages
Proc. SPIE 9688, Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016), 96880M (12 August 2016); doi: 10.1117/12.2241746
Show Author Affiliations
Emmanouil Rovithis, Institute of Engineering Seismology and Earthquake Engineering (Greece)
Emmanouil Kirtas, Technological Educational Institute of Central Macedonia (Greece)
Eleftheria Marini, Geosystems Hellas (Greece)
Dimitris Bliziotis, Geosystems Hellas (Greece)
Evangelos Maltezos, Geosystems Hellas (Greece)
Dimitris Pitilakis, Aristotle Univ. of Thessaloniki (Greece)
Konstantia Makra, Institute of Engineering Seismology and Earthquake Engineering (Greece)
Alexandros Savvaidis, Institute of Engineering Seismology and Earthquake Engineering (Greece)


Published in SPIE Proceedings Vol. 9688:
Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016)
Kyriacos Themistocleous; Diofantos G. Hadjimitsis; Silas Michaelides; Giorgos Papadavid, Editor(s)

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