Earthquake Damage to Bridges

2014 ◽  
pp. 69-114
Keyword(s):  
Earthquake Damage

The September 7, 2017 Tehuantepec, Mexico, earthquake: Damage assessment in masonry structures for housing

2021 ◽  
Vol 56 ◽  
pp. 102123
Author(s):  
Eber Alberto Godínez-Domínguez ◽  
Arturo Tena-Colunga ◽  
Luis Eduardo Pérez-Rocha ◽  
Hans Israel Archundia-Aranda ◽  
Alonso Gómez-Bernal ◽  
...  
Keyword(s):  
Damage Assessment ◽  
Earthquake Damage ◽  
Masonry Structures ◽  
Mexico Earthquake ◽  
Earthquake Damage Assessment

Earthquake damage modeling using cellular automata and fuzzy rule-based models

2021 ◽  
Vol 14 (13) ◽  
Author(s):  
Rasool Vahid ◽  
Farshid Farnood Ahmadi ◽  
Nazila Mohammadi
Keyword(s):  
Cellular Automata ◽  
Fuzzy Rule ◽  
Earthquake Damage ◽  
Damage Modeling ◽  
Rule Based

scholarly journals Fragility estimation for global building classes using analysis of the Cambridge earthquake damage database (CEQID)

2021 ◽  
Author(s):  
Robin Spence ◽  
Sandra Martínez-Cuevas ◽  
Hannah Baker
Keyword(s):  
Fragility Curves ◽  
Resistance Index ◽  
Earthquake Damage ◽  
Ground Acceleration ◽  
Damage Level ◽  
Ground Motion Parameter ◽  
Geographical Regions ◽  
Concrete Building ◽  
Damage Data ◽  
Regional Comparisons

AbstractThis paper describes CEQID, a database of earthquake damage and casualty data assembled since the 1980s based on post-earthquake damage surveys conducted by a range of research groups. Following 2017–2019 updates, the database contains damage data for more than five million individual buildings in over 1000 survey locations following 79 severely damaging earthquakes worldwide. The building damage data for five broadly defined masonry and reinforced concrete building classes has been assembled and a uniform set of six damage levels assigned. Using estimated peak ground acceleration (PGA) for each survey location based on USGS Shakemap data, a set of lognormal fragility curves has been developed to estimate the probability of exceedance of each damage level for each class, and separate fragility curves for each of five geographical regions are presented. A revised set of fragility curves has also been prepared in which the bias in the curve resulting from the uncertainty in the ground motion parameter has been removed. The uncertainty in the fragility curves is evaluated and discussed and the curves are compared with those from other studies. A resistance index for each class of building is developed and cross-regional comparisons using this resistance index are presented.

scholarly journals A fuzzy decision making system for building damage map creation using high resolution satellite imagery

2013 ◽  
Vol 13 (2) ◽  
pp. 455-472 ◽  
Author(s):  
H. Rastiveis ◽  
F. Samadzadegan ◽  
P. Reinartz
Keyword(s):  
High Resolution ◽  
Satellite Imagery ◽  
Damage Assessment ◽  
Fuzzy Inference ◽  
Earthquake Damage ◽  
Fuzzy Decision Making ◽  
Inference System ◽  
High Resolution Satellite Imagery ◽  
Roof Part ◽  
Earthquake Damage Assessment

Abstract. Recent studies have shown high resolution satellite imagery to be a powerful data source for post-earthquake damage assessment of buildings. Manual interpretation of these images, while being a reliable method for finding damaged buildings, is a subjective and time-consuming endeavor, rendering it unviable at times of emergency. The present research, proposes a new state-of-the-art method for automatic damage assessment of buildings using high resolution satellite imagery. In this method, at the first step a set of pre-processing algorithms are performed on the images. Then, extracting a candidate building from both pre- and post-event images, the intact roof part after an earthquake is found. Afterwards, by considering the shape and other structural properties of this roof part with its pre-event condition in a fuzzy inference system, the rate of damage for each candidate building is estimated. The results obtained from evaluation of this algorithm using QuickBird images of the December 2003 Bam, Iran, earthquake prove the ability of this method for post-earthquake damage assessment of buildings.

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