Damage and vulnerability assessment of churches after the 2002 Molise, Italy, earthquake

Earthquake Spectra

Volumn 20, Issue SPEC. 1, 2004, Pages

  Lagomarsino, Sergio ^a   Podestà, Stefano ^a  

^a UNIVERSITY OF GENOA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

EARTHQUAKE RESISTANCE; MASONRY CONSTRUCTION; REINFORCED CONCRETE; RELIGIOUS BUILDINGS; STATISTICAL METHODS; STRUCTURAL ANALYSIS;

DAMAGE ASSESSMENT; DAMAGE DISTRIBUTION; STRUCTURAL VULNERABILITY;

EARTHQUAKES;

DYNAMIC RESPONSE; EARTHQUAKE DAMAGE; EARTHQUAKE EVENT; REINFORCED CONCRETE; STRUCTURAL ANALYSIS; STRUCTURAL RESPONSE; VULNERABILITY;

ITALY; MOLISE;

EID: 4344682932     PISSN: 87552930     EISSN: None     Source Type: Journal    
DOI: 10.1193/1.1767161     Document Type: Article

References (7)

1. Braga, F., Dolce, M., and Liberatore, D., 1982. A statistical study on damaged buildings and ensuing review of MSK-76 Scale, in Proc. 7th European Conference on Earthquake Engineering, vol. 7, Athens, 1982, pp. 431-450.
2. Civil Protection Department, 2001. Survey Form of the Cultural Heritage: Damage of the Churches, G.U. n. 116, 21 May 2001 (in Italian).
3. Grunthal, G., Musson, R. M. W., Schwarz, J., and Stucchi, M., 1998. European Macroseismic Scale 1998 (EMS-98). European Seismological Commission, Working Group Macroseismic Scales, Luxembourg. (in Italian).
4. Lagomarsino, S., 1998. A new methodology for the post-earthquake investigation of ancient churches, Proc. of the XI European Conference on Earthquake Engineering, Paris, A. A. Balkema (Abstract Volume and CD-ROM), p. 67.
5. Lagomarsino, S., and Podestà, S., 2004a. Seismic vulnerability of ancient churches. Part 1: The damage assessment and the emergency planning, Earthquake Spectra (accepted).
6. Lagomarsino, S., and Podestà, S., 2004b. Seismic vulnerability of ancient churches. Part 2: Statistical analysis of surveyed data and methods for risk analysis, Earthquake Spectra (accepted).
7. Podestà, S., 2002. The seismic vulnerability of ancient religious buildings: The development of a new model for vulnerability analysis,