Seismic vulnerability assessment of urban areas made of adobe buildings through analytical and numerical methods: The case study of the historical center OF CUSCO (Peru)

Publication typeJournal Article
Publication date2024-10-01
scimago Q1
wos Q1
SJR1.194
CiteScore8.5
Impact factor4.5
ISSN22124209
Abstract
This paper aims at giving a contribution to the topic concerning the preservation of valuable adobe buildings, by setting a methodology for assessing their seismic vulnerability at the urban scale by means of analytical and numerical models, accounting for both their in-plane and out-of-plane behaviors. To this purpose, the valuable historical center of Cusco (Peru) is considered as representative case study. The city center of Cusco is an extraordinary example of colonial architecture that preserves essential aspects of its origins, it being representative of a large plethora of historical centers in South America and the Caribbean, where most of the residential buildings are made of adobe masonry. First, archetypes, representative of the whole historical center, are identified in order to get a manageable stock of buildings for which the analyses can be addressed to. The structural capacity of each archetype is then given in terms of capacity curves for both out-of-plane and in-plane mechanisms. Subsequently, these curves are compared with the likely seismic demands to assess the probability of attaining pre-established damage states for different seismic intensities. The obtained probabilities are collected into Damage Probability Matrices (DPMs) and, finally, cumulated to plot the fitting fragility curves.
Found 
Found 

Top-30

Journals

1
2
3
International Journal of Architectural Heritage
3 publications, 33.33%
Bulletin of Earthquake Engineering
1 publication, 11.11%
ISPRS International Journal of Geo-Information
1 publication, 11.11%
Structures
1 publication, 11.11%
International Journal of Disaster Risk Reduction
1 publication, 11.11%
Frontiers in Built Environment
1 publication, 11.11%
Geosciences (Switzerland)
1 publication, 11.11%
1
2
3

Publishers

1
2
3
Taylor & Francis
3 publications, 33.33%
MDPI
2 publications, 22.22%
Elsevier
2 publications, 22.22%
Springer Nature
1 publication, 11.11%
Frontiers Media S.A.
1 publication, 11.11%
1
2
3
  • We do not take into account publications without a DOI.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
9
Share
Cite this
GOST |
Cite this
GOST Copy
Cocco G. et al. Seismic vulnerability assessment of urban areas made of adobe buildings through analytical and numerical methods: The case study of the historical center OF CUSCO (Peru) // International Journal of Disaster Risk Reduction. 2024. Vol. 112. p. 104786.
GOST all authors (up to 50) Copy
Cocco G., Spacone E., Brando G. Seismic vulnerability assessment of urban areas made of adobe buildings through analytical and numerical methods: The case study of the historical center OF CUSCO (Peru) // International Journal of Disaster Risk Reduction. 2024. Vol. 112. p. 104786.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1016/j.ijdrr.2024.104786
UR - https://linkinghub.elsevier.com/retrieve/pii/S221242092400548X
TI - Seismic vulnerability assessment of urban areas made of adobe buildings through analytical and numerical methods: The case study of the historical center OF CUSCO (Peru)
T2 - International Journal of Disaster Risk Reduction
AU - Cocco, Giulio
AU - Spacone, Enrico
AU - Brando, Giuseppe
PY - 2024
DA - 2024/10/01
PB - Elsevier
SP - 104786
VL - 112
SN - 2212-4209
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2024_Cocco,
author = {Giulio Cocco and Enrico Spacone and Giuseppe Brando},
title = {Seismic vulnerability assessment of urban areas made of adobe buildings through analytical and numerical methods: The case study of the historical center OF CUSCO (Peru)},
journal = {International Journal of Disaster Risk Reduction},
year = {2024},
volume = {112},
publisher = {Elsevier},
month = {oct},
url = {https://linkinghub.elsevier.com/retrieve/pii/S221242092400548X},
pages = {104786},
doi = {10.1016/j.ijdrr.2024.104786}
}
Profiles